Search (24 results, page 1 of 2)

  • × author_ss:"Sugimoto, C.R."
  1. Ni, C.; Sugimoto, C.R.; Jiang, J.: Venue-author-coupling : a measure for identifying disciplines through author communities (2013) 0.01
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    Abstract
    Conceptualizations of disciplinarity often focus on the social aspects of disciplines; that is, disciplines are defined by the set of individuals who participate in their activities and communications. However, operationalizations of disciplinarity often demarcate the boundaries of disciplines by standard classification schemes, which may be inflexible to changes in the participation profile of that discipline. To address this limitation, a metric called venue-author-coupling (VAC) is proposed and illustrated using journals from the Journal Citation Report's (JCR) library science and information science category. As JCRs are some of the most frequently used categories in bibliometric analyses, this allows for an examination of the extent to which the journals in JCR categories can be considered as proxies for disciplines. By extending the idea of bibliographic coupling, VAC identifies similarities among journals based on the similarities of their author profiles. The employment of this method using information science and library science journals provides evidence of four distinct subfields, that is, management information systems, specialized information and library science, library science-focused, and information science-focused research. The proposed VAC method provides a novel way to examine disciplinarity from the perspective of author communities.
    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.2, S.265-279
  2. Meho, L.I.; Sugimoto, C.R.: Assessing the scholarly impact of information studies : a tale of two citation databases - Scopus and Web of Science (2009) 0.01
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    Abstract
    This study uses citations, from 1996 to 2007, to the work of 80 randomly selected full-time, information studies (IS) faculty members from North America to examine differences between Scopus and Web of Science in assessing the scholarly impact of the field focusing on the most frequently citing journals, conference proceedings, research domains and institutions, as well as all citing countries. Results show that when assessment is limited to smaller citing entities (e.g., journals, conference proceedings, institutions), the two databases produce considerably different results, whereas when assessment is limited to larger citing entities (e.g., research domains, countries), the two databases produce very similar pictures of scholarly impact. In the former case, the use of Scopus (for journals and institutions) and both Scopus and Web of Science (for conference proceedings) is necessary to more accurately assess or visualize the scholarly impact of IS, whereas in the latter case, assessing or visualizing the scholarly impact of IS is independent of the database used.
    Object
    Web of Science
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.12, S.2499-2508
  3. Sugimoto, C.R.; Mostafa, J.: ¬A note of concern and context : on careful use of terminologies (2018) 0.01
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    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.3, S.347-348
  4. Sugimoto, C.R.; Ni, C.; Russell, T.G.; Bychowski, B.: Academic genealogy as an indicator of interdisciplinarity : an examination of dissertation networks in Library and Information Science (2011) 0.01
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    Abstract
    Interdisciplinarity has been studied using cognitive connections among individuals in corresponding domains, but rarely from the perspective of academic genealogy. This article utilizes academic genealogy network data from 3,038 PhD dissertations in Library and Information Science (LIS) over a span of 80 years (1930-2009) to describe interdisciplinary changes in the discipline. Aspects of academic pedigree of advisors and committee members are analyzed, such as country, school, and discipline of highest degree, to reveal the interdisciplinary features of LIS. The results demonstrate a strong history of mentors from fields such as education and psychology, a decreasing trend of mentors with LIS degrees, and an increasing trend in mentors receiving degrees in computer science, business, and communication, among other disciplines. This work proposes and explores the use of academic genealogy as an indicator of interdisciplinarity and calls for additional research on the role of doctoral committee composition in a student's subsequent academic career.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.9, S.1808-1828
  5. Sugimoto, C.R.; Thelwall, M.: Scholars on soap boxes : science communication and dissemination in TED videos (2013) 0.01
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    Abstract
    Online videos provide a novel, and often interactive, platform for the popularization of science. One successful collection is hosted on the TED (Technology, Entertainment, Design) website. This study uses a range of bibliometric (citation) and webometric (usage and bookmarking) indicators to examine TED videos in order to provide insights into the type and scope of their impact. The results suggest that TED Talks impact primarily the public sphere, with about three-quarters of a billion total views, rather than the academic realm. Differences were found among broad disciplinary areas, with art and design videos having generally lower levels of impact but science and technology videos generating otherwise average impact for TED. Many of the metrics were only loosely related, but there was a general consensus about the most popular videos as measured through views or comments on YouTube and the TED site. Moreover, most videos were found in at least one online syllabus and videos in online syllabi tended to be more viewed, discussed, and blogged. Less-liked videos generated more discussion, although this may be because they are more controversial. Science and technology videos presented by academics were more liked than those by nonacademics, showing that academics are not disadvantaged in this new media environment.
    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.4, S.663-674
  6. Sugimoto, C.R.; Li, D.; Russell, T.G.; Finlay, S.C.; Ding, Y.: ¬The shifting sands of disciplinary development : analyzing North American Library and Information Science dissertations using latent Dirichlet allocation (2011) 0.01
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    Abstract
    This work identifies changes in dominant topics in library and information science (LIS) over time, by analyzing the 3,121 doctoral dissertations completed between 1930 and 2009 at North American Library and Information Science programs. The authors utilize latent Dirichlet allocation (LDA) to identify latent topics diachronically and to identify representative dissertations of those topics. The findings indicate that the main topics in LIS have changed substantially from those in the initial period (1930-1969) to the present (2000-2009). However, some themes occurred in multiple periods, representing core areas of the field: library history occurred in the first two periods; citation analysis in the second and third periods; and information-seeking behavior in the fourth and last period. Two topics occurred in three of the five periods: information retrieval and information use. One of the notable changes in the topics was the diminishing use of the word library (and related terms). This has implications for the provision of doctoral education in LIS. This work is compared to other earlier analyses and provides validation for the use of LDA in topic analysis of a discipline.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.1, S.185-204
  7. Milojevic, S.; Sugimoto, C.R.; Yan, E.; Ding, Y.: ¬The cognitive structure of Library and Information Science : analysis of article title words (2011) 0.01
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    Abstract
    This study comprises a suite of analyses of words in article titles in order to reveal the cognitive structure of Library and Information Science (LIS). The use of title words to elucidate the cognitive structure of LIS has been relatively neglected. The present study addresses this gap by performing (a) co-word analysis and hierarchical clustering, (b) multidimensional scaling, and (c) determination of trends in usage of terms. The study is based on 10,344 articles published between 1988 and 2007 in 16 LIS journals. Methodologically, novel aspects of this study are: (a) its large scale, (b) removal of non-specific title words based on the "word concentration" measure (c) identification of the most frequent terms that include both single words and phrases, and (d) presentation of the relative frequencies of terms using "heatmaps". Conceptually, our analysis reveals that LIS consists of three main branches: the traditionally recognized library-related and information-related branches, plus an equally distinct bibliometrics/scientometrics branch. The three branches focus on: libraries, information, and science, respectively. In addition, our study identifies substructures within each branch. We also tentatively identify "information seeking behavior" as a branch that is establishing itself separate from the three main branches. Furthermore, we find that cognitive concepts in LIS evolve continuously, with no stasis since 1992. The most rapid development occurred between 1998 and 2001, influenced by the increased focus on the Internet. The change in the cognitive landscape is found to be driven by the emergence of new information technologies, and the retirement of old ones.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.10, S.1933-1953
  8. Larivière, V.; Sugimoto, C.R.; Cronin, B.: ¬A bibliometric chronicling of library and information science's first hundred years (2012) 0.01
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    Abstract
    This paper presents a condensed history of Library and Information Science (LIS) over the course of more than a century using a variety of bibliometric measures. It examines in detail the variable rate of knowledge production in the field, shifts in subject coverage, the dominance of particular publication genres at different times, prevailing modes of production, interactions with other disciplines, and, more generally, observes how the field has evolved. It shows that, despite a striking growth in the number of journals, papers, and contributing authors, a decrease was observed in the field's market-share of all social science and humanities research. Collaborative authorship is now the norm, a pattern seen across the social sciences. The idea of boundary crossing was also examined: in 2010, nearly 60% of authors who published in LIS also published in another discipline. This high degree of permeability in LIS was also demonstrated through reference and citation practices: LIS scholars now cite and receive citations from other fields more than from LIS itself. Two major structural shifts are revealed in the data: in 1960, LIS changed from a professional field focused on librarianship to an academic field focused on information and use; and in 1990, LIS began to receive a growing number of citations from outside the field, notably from Computer Science and Management, and saw a dramatic increase in the number of authors contributing to the literature of the field.
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.5, S.997-1016
  9. Sugimoto, C.R.; Pratt , J.A.; Hauser, K.: Using field cocitation analysis to assess reciprocal and shared impact of LIS/MIS fields (2008) 0.01
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    Abstract
    This study utilized bibliometric tools to analyze the relationship between two separate, but related, fields: Library and Information Science (LIS) and Management Information Systems (MIS). The top-ranked 48 journals in each field were used as the unit of analysis. Using these journals, field cocitation was introduced as a method for evaluating the relationships between the two fields. The three-phased study evaluated (a) the knowledge imported/exported between LIS and MIS, (b) the body of knowledge influenced by both fields, and (c) the overlap in fields as demonstrated by multidimensional scaling. Data collection and analysis were performed using DIALOG and SPSS programs. The primary findings from this study indicate that (a) the MIS impact on LIS is greater than the reverse, (b) there is a growing trend for shared impact between the two disciplines, and (c) the area of overlap between the two fields is predominately those journals focusing on technology systems and digital information. Additionally, this study validated field cocitation as a method by which to evaluate relationships between fields.
    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.9, S.1441-1453
  10. Yan, E.; Ding, Y.; Sugimoto, C.R.: P-Rank: an indicator measuring prestige in heterogeneous scholarly networks (2011) 0.01
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    Abstract
    Ranking scientific productivity and prestige are often limited to homogeneous networks. These networks are unable to account for the multiple factors that constitute the scholarly communication and reward system. This study proposes a new informetric indicator, P-Rank, for measuring prestige in heterogeneous scholarly networks containing articles, authors, and journals. P-Rank differentiates the weight of each citation based on its citing papers, citing journals, and citing authors. Articles from 16 representative library and information science journals are selected as the dataset. Principle Component Analysis is conducted to examine the relationship between P-Rank and other bibliometric indicators. We also compare the correlation and rank variances between citation counts and P-Rank scores. This work provides a new approach to examining prestige in scholarly communication networks in a more comprehensive and nuanced way.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.3, S.467-477
  11. Yan, E.; Sugimoto, C.R.: Institutional interactions : exploring social, cognitive, and geographic relationships between institutions as demonstrated through citation networks (2011) 0.01
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    Abstract
    The objective of this research is to examine the interaction of institutions, based on their citation and collaboration networks. The domain of library and information science is examined, using data from 1965-2010. A linear model is formulated to explore the factors that are associated with institutional citation behaviors, using the number of citations as the dependent variable, and the number of collaborations, physical distance, and topical distance as independent variables. It is found that institutional citation behaviors are associated with social, topical, and geographical factors. Dynamically, the number of citations is becoming more associated with collaboration intensity and less dependent on the country boundary and/or physical distance. This research is informative for scientometricians and policy makers.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.8, S.1498-1514
  12. Lee, C.J.; Sugimoto, C.R.; Zhang, G.; Cronin, B.: Bias in peer review (2013) 0.01
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    Series
    Advances in information science
    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.1, S.2-17
  13. Gazni, A.; Sugimoto, C.R.; Didegah, F.: Mapping world scientific collaboration : authors, institutions, and countries (2012) 0.01
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    Abstract
    International collaboration is being heralded as the hallmark of contemporary scientific production. Yet little quantitative evidence has portrayed the landscape and trends of such collaboration. To this end, 14,000,000 documents indexed in Thomson Reuters's Web of Science (WoS) were studied to provide a state-of-the-art description of scientific collaborations across the world. The results indicate that the number of authors in the largest research teams have not significantly grown during the past decade; however, the number of smaller research teams has seen significant increases in growth. In terms of composition, the largest teams have become more diverse than the latter teams and tend more toward interinstitutional and international collaboration. Investigating the size of teams showed large variation between fields. Mapping scientific cooperation at the country level reveals that Western countries situated at the core of the map are extensively cooperating with each other. High-impact institutions are significantly more collaborative than others. This work should inform policy makers, administrators, and those interested in the progression of scientific collaboration.
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.2, S.323-335
  14. Haustein, S.; Peters, I.; Sugimoto, C.R.; Thelwall, M.; Larivière, V.: Tweeting biomedicine : an analysis of tweets and citations in the biomedical literature (2014) 0.01
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    Abstract
    Data collected by social media platforms have been introduced as new sources for indicators to help measure the impact of scholarly research in ways that are complementary to traditional citation analysis. Data generated from social media activities can be used to reflect broad types of impact. This article aims to provide systematic evidence about how often Twitter is used to disseminate information about journal articles in the biomedical sciences. The analysis is based on 1.4 million documents covered by both PubMed and Web of Science and published between 2010 and 2012. The number of tweets containing links to these documents was analyzed and compared to citations to evaluate the degree to which certain journals, disciplines, and specialties were represented on Twitter and how far tweets correlate with citation impact. With less than 10% of PubMed articles mentioned on Twitter, its uptake is low in general but differs between journals and specialties. Correlations between tweets and citations are low, implying that impact metrics based on tweets are different from those based on citations. A framework using the coverage of articles and the correlation between Twitter mentions and citations is proposed to facilitate the evaluation of novel social-media-based metrics.
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.4, S.656-669
  15. Larivière, V.; Sugimoto, C.R.; Macaluso, B.; Milojevi´c, S.; Cronin, B.; Thelwall, M.: arXiv E-prints and the journal of record : an analysis of roles and relationships (2014) 0.01
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    Abstract
    Since its creation in 1991, arXiv has become central to the diffusion of research in a number of fields. Combining data from the entirety of arXiv and the Web of Science (WoS), this article investigates (a) the proportion of papers across all disciplines that are on arXiv and the proportion of arXiv papers that are in the WoS, (b) the elapsed time between arXiv submission and journal publication, and (c) the aging characteristics and scientific impact of arXiv e-prints and their published version. It shows that the proportion of WoS papers found on arXiv varies across the specialties of physics and mathematics, and that only a few specialties make extensive use of the repository. Elapsed time between arXiv submission and journal publication has shortened but remains longer in mathematics than in physics. In physics, mathematics, as well as in astronomy and astrophysics, arXiv versions are cited more promptly and decay faster than WoS papers. The arXiv versions of papers-both published and unpublished-have lower citation rates than published papers, although there is almost no difference in the impact of the arXiv versions of published and unpublished papers.
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.6, S.1157-1169
  16. Demarest, B.; Sugimoto, C.R.: Argue, observe, assess : measuring disciplinary identities and differences through socio-epistemic discourse (2015) 0.01
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    Abstract
    Calls for interdisciplinary collaboration have become increasingly common in the face of large-scale complex problems (including climate change, economic inequality, and education, among others); however, outcomes of such collaborations have been mixed, due, among other things, to the so-called "translation problem" in interdisciplinary research. This article presents a potential solution: an empirical approach to quantitatively measure both the degree and nature of differences among disciplinary tongues through the social and epistemic terms used (a research area we refer to as discourse epistemetrics), in a case study comparing dissertations in philosophy, psychology, and physics. Using a support-vector model of machine learning to classify disciplines based on relative frequencies of social and epistemic terms, we were able to markedly improve accuracy over a random selection baseline (distinguishing between disciplines with as high as 90% accuracy) as well as acquire sets of most indicative terms for each discipline by their relative presence or absence. These lists were then considered in light of findings of sociological and epistemological studies of disciplines and found to validate the approach's measure of social and epistemic disciplinary identities and contrasts. Based on the findings of our study, we conclude by considering the beneficiaries of research in this area, including bibliometricians, students, and science policy makers, among others, as well as laying out a research program that expands the number of disciplines, considers shifts in socio-epistemic identities over time and applies these methods to nonacademic epistemological communities (e.g., political groups).
    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.7, S.1374-1387
  17. Ekbia, H.; Mattioli, M.; Kouper, I.; Arave, G.; Ghazinejad, A.; Bowman, T.; Suri, V.R.; Tsou, A.; Weingart, S.; Sugimoto, C.R.: Big data, bigger dilemmas : a critical review (2015) 0.01
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    Series
    Advances in information science
    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.8, S.1523-1545
  18. Sugimoto, C.R.; Cronin, B.: Biobibliometric profiling : an examination of multifaceted approaches to scholarship (2012) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.3, S.450-468
  19. Larivière, V.; Sugimoto, C.R.; Bergeron, P.: In their own image? : a comparison of doctoral students' and faculty members' referencing behavior (2013) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.5, S.1045-1054
  20. Larivière, V.; Gingras, Y.; Sugimoto, C.R.; Tsou, A.: Team size matters : collaboration and scientific impact since 1900 (2015) 0.01
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.7, S.1323-1332