Search (11 results, page 1 of 1)

  • × author_ss:"Meho, L.I."
  • × year_i:[2000 TO 2010}
  1. Meho, L.I.; Rogers, Y.: Citation counting, citation ranking, and h-index of human-computer interaction researchers : a comparison of Scopus and Web of Science (2008) 0.02
    0.01974305 = product of:
      0.0394861 = sum of:
        0.0394861 = sum of:
          0.008285859 = weight(_text_:a in 2352) [ClassicSimilarity], result of:
            0.008285859 = score(doc=2352,freq=12.0), product of:
              0.053105544 = queryWeight, product of:
                1.153047 = idf(docFreq=37942, maxDocs=44218)
                0.046056706 = queryNorm
              0.15602624 = fieldWeight in 2352, product of:
                3.4641016 = tf(freq=12.0), with freq of:
                  12.0 = termFreq=12.0
                1.153047 = idf(docFreq=37942, maxDocs=44218)
                0.0390625 = fieldNorm(doc=2352)
          0.03120024 = weight(_text_:22 in 2352) [ClassicSimilarity], result of:
            0.03120024 = score(doc=2352,freq=2.0), product of:
              0.16128273 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.046056706 = queryNorm
              0.19345059 = fieldWeight in 2352, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.0390625 = fieldNorm(doc=2352)
      0.5 = coord(1/2)
    
    Abstract
    This study examines the differences between Scopus and Web of Science in the citation counting, citation ranking, and h-index of 22 top human-computer interaction (HCI) researchers from EQUATOR - a large British Interdisciplinary Research Collaboration project. Results indicate that Scopus provides significantly more coverage of HCI literature than Web of Science, primarily due to coverage of relevant ACM and IEEE peer-reviewed conference proceedings. No significant differences exist between the two databases if citations in journals only are compared. Although broader coverage of the literature does not significantly alter the relative citation ranking of individual researchers, Scopus helps distinguish between the researchers in a more nuanced fashion than Web of Science in both citation counting and h-index. Scopus also generates significantly different maps of citation networks of individual scholars than those generated by Web of Science. The study also presents a comparison of h-index scores based on Google Scholar with those based on the union of Scopus and Web of Science. The study concludes that Scopus can be used as a sole data source for citation-based research and evaluation in HCI, especially when citations in conference proceedings are sought, and that researchers should manually calculate h scores instead of relying on system calculations.
    Type
    a
  2. Meho, L.I.: E-Mail interviewing in qualitative research : a methodological discussion (2006) 0.00
    0.0030255679 = product of:
      0.0060511357 = sum of:
        0.0060511357 = product of:
          0.012102271 = sum of:
            0.012102271 = weight(_text_:a in 5701) [ClassicSimilarity], result of:
              0.012102271 = score(doc=5701,freq=10.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.22789092 = fieldWeight in 5701, product of:
                  3.1622777 = tf(freq=10.0), with freq of:
                    10.0 = termFreq=10.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0625 = fieldNorm(doc=5701)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    This article summarizes findings from studies that employed electronic mail (e-mail) for conducting indepth interviewing. It discusses the benefits of, and the challenges associated with, using e-mail interviewing in qualitative research. The article concludes that while a mixed mode interviewing strategy should be considered when possible, e-mail interviewing can be in many cases a viable alternative to face-to-face and telephone interviewing. A list of recommendations for carrying out effective e-mail interviews is presented.
    Type
    a
  3. Cronin, B.; Meho, L.I.: Using the h-index to rank influential information scientists (2006) 0.00
    0.00270615 = product of:
      0.0054123 = sum of:
        0.0054123 = product of:
          0.0108246 = sum of:
            0.0108246 = weight(_text_:a in 196) [ClassicSimilarity], result of:
              0.0108246 = score(doc=196,freq=8.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.20383182 = fieldWeight in 196, product of:
                  2.828427 = tf(freq=8.0), with freq of:
                    8.0 = termFreq=8.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0625 = fieldNorm(doc=196)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    The authors apply a new bibliometric measure, the h-index (Hirsch, 2005), to the literature of information science. Faculty rankings based on raw citation counts are compared with those based on h-counts. There is a strong positive correlation between the two sets of rankings. It is shown how the h-index can be used to express the broad impact of a scholar's research output over time in more nuanced fashion than straight citation counts.
    Type
    a
  4. Cronin, B.; Meho, L.I.: Applying the author affiliation index to library and information science journals (2008) 0.00
    0.00270615 = product of:
      0.0054123 = sum of:
        0.0054123 = product of:
          0.0108246 = sum of:
            0.0108246 = weight(_text_:a in 2361) [ClassicSimilarity], result of:
              0.0108246 = score(doc=2361,freq=8.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.20383182 = fieldWeight in 2361, product of:
                  2.828427 = tf(freq=8.0), with freq of:
                    8.0 = termFreq=8.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0625 = fieldNorm(doc=2361)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    The authors use a novel method - the Author Affiliation Index (AAI) - to determine whether faculty at the top-10 North American library and information science (LIS) programs have a disproportionate presence in the premier journals of the field. The study finds that LIS may be both too small and too interdisciplinary a domain for the AAI to provide reliable results.
    Type
    a
  5. Cronin, B.; Meho, L.I.: Timelines of creativity : A study of intellectual innovators in information science (2007) 0.00
    0.0023678814 = product of:
      0.0047357627 = sum of:
        0.0047357627 = product of:
          0.009471525 = sum of:
            0.009471525 = weight(_text_:a in 480) [ClassicSimilarity], result of:
              0.009471525 = score(doc=480,freq=8.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.17835285 = fieldWeight in 480, product of:
                  2.828427 = tf(freq=8.0), with freq of:
                    8.0 = termFreq=8.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=480)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    We explore the relationship between creativity and both chronological and professional age in information science using a novel bibliometric approach that allows us to capture the shape of a scholar's career. Our approach draws on D.W. Galenson's (2006) analyses of artistic creativity, notably his distinction between conceptual and experimental innovation, and also H.C. Lehman's (1953) seminal study of the relationship between stage of career and outstanding performance. The data presented here suggest that creativity is expressed in different ways, at different times, and with different intensities in academic information science.
    Type
    a
  6. Meho, L.I.; Sonnenwald, D.H.: Citation ranking versus peer evaluation of senior faculty research performance : a case study of Kurdish scholarship (2000) 0.00
    0.002269176 = product of:
      0.004538352 = sum of:
        0.004538352 = product of:
          0.009076704 = sum of:
            0.009076704 = weight(_text_:a in 4382) [ClassicSimilarity], result of:
              0.009076704 = score(doc=4382,freq=10.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.1709182 = fieldWeight in 4382, product of:
                  3.1622777 = tf(freq=10.0), with freq of:
                    10.0 = termFreq=10.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046875 = fieldNorm(doc=4382)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    The purpose of this study is to analyze the relationship between citation ranking and peer evaluation in assessing senior faculty research performance. Other studies typically derive their peer evaluation data directly from referees, often in the form of ranking. This study uses two additional sources of peer evaluation data: citation contant analysis and book review content analysis. 2 main questions are investigated: (a) To what degree does citation ranking correlate with data from citation content analysis, book reviews and peer ranking? (b) Is citation ranking a valif evaluative indicator of research performance of senior faculty members? This study shows that citation ranking can provide a valid indicator for comparative evaluation of senior faculty research performance
    Type
    a
  7. Meho, L.I.; Tibbo, H.R.: Modeling the information-seeking behavior of social scientists Ellis's study revisited (2003) 0.00
    0.0020714647 = product of:
      0.0041429293 = sum of:
        0.0041429293 = product of:
          0.008285859 = sum of:
            0.008285859 = weight(_text_:a in 5170) [ClassicSimilarity], result of:
              0.008285859 = score(doc=5170,freq=12.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.15602624 = fieldWeight in 5170, product of:
                  3.4641016 = tf(freq=12.0), with freq of:
                    12.0 = termFreq=12.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=5170)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Meho and Tibbo show that the Ellis model of information seeking applies to a web environment by way of a replication of his study in this case using behavior of social science faculty studying stateless nations, a group diverse in skills, origins, and research specialities. Data were collected by way of e-mail interviews. Material on stateless nations was limited to papers in English on social science topics published between 1998 and 2000. Of these 251 had 212 unique authors identified as academic scholars and had sufficient information to provide e-mail addresses. Of the 139 whose addresses were located, 9 who were physically close were reserved for face to face interviews, and of the remainder 60 agreed to participate and responded to the 25 open ended question interview. Follow up questions generated a 75% response. Of the possible face to face interviews five agreed to participate and provided 26 thousand words as opposed to 69 thousand by the 45 e-mail participants. The activities of the Ellis model are confirmed but four additional activities are also identified. These are accessing, i.e. finding the material identified in indirect sources of information; networking, or the maintaining of close contacts with a wide range of colleagues and other human sources; verifying, i.e. checking the accuracy of new information; and information managing, the filing and organizing of collected information. All activities are grouped into four stages searching, accessing, processing, and ending.
    Type
    a
  8. Cronin, B.; Meho, L.I.: ¬The shifting balance of intellectual trade in information studies (2008) 0.00
    0.0020506454 = product of:
      0.004101291 = sum of:
        0.004101291 = product of:
          0.008202582 = sum of:
            0.008202582 = weight(_text_:a in 1377) [ClassicSimilarity], result of:
              0.008202582 = score(doc=1377,freq=6.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.1544581 = fieldWeight in 1377, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=1377)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    The authors describe a large-scale, longitudinal citation analysis of intellectual trading between information studies and cognate disciplines. The results of their investigation reveal the extent to which information studies draws on and, in turn, contributes to the ideational substrates of other academic domains. Their data show that the field has become a more successful exporter of ideas as well as less introverted than was previously the case. In the last decade, information studies has begun to contribute significantly to the literatures of such disciplines as computer science and engineering on the one hand and business and management on the other, while also drawing more heavily on those same literatures.
    Type
    a
  9. Meho, L.I.; Spurgin, K.M.: Ranking the research productivity of library and information science faculty and schools : an evaluation of data sources and research methods (2005) 0.00
    0.001913537 = product of:
      0.003827074 = sum of:
        0.003827074 = product of:
          0.007654148 = sum of:
            0.007654148 = weight(_text_:a in 4343) [ClassicSimilarity], result of:
              0.007654148 = score(doc=4343,freq=16.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.14413087 = fieldWeight in 4343, product of:
                  4.0 = tf(freq=16.0), with freq of:
                    16.0 = termFreq=16.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.03125 = fieldNorm(doc=4343)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    This study evaluates the data sources and research methods used in earlier studies to rank the research productivity of Library and Information Science (LIS) faculty and schools. In doing so, the study identifies both tools and methods that generate more accurate publication count rankings as weil as databases that should be taken into consideration when conducting comprehensive searches in the literature for research and curricular needs. With a list of 2,625 items published between 1982 and 2002 by 68 faculty members of 18 American Library Association- (ALA-) accredited LIS schools, hundreds of databases were searched. Results show that there are only 10 databases that provide significant coverage of the LIS indexed literature. Results also show that restricting the data sources to one, two, or even three databases leads to inaccurate rankings and erroneous conclusions. Because no database provides comprehensive coverage of the LIS literature, researchers must rely an a wide range of disciplinary and multidisciplinary databases for ranking and other research purposes. The study answers such questions as the following: Is the Association of Library and Information Science Education's (ALISE's) directory of members a reliable tool to identify a complete list of faculty members at LIS schools? How many and which databases are needed in a multifile search to arrive at accurate publication count rankings? What coverage will be achieved using a certain number of databases? Which research areas are well covered by which databases? What alternative methods and tools are available to supplement gaps among databases? Did coverage performance of databases change over time? What counting method should be used when determining what and how many items each LIS faculty and school has published? The authors recommend advanced analysis of research productivity to provide a more detailed assessment of research productivity of authors and programs.
    Type
    a
  10. Meho, L.I.; Yang, K.: Impact of data sources on citation counts and rankings of LIS faculty : Web of science versus scopus and google scholar (2007) 0.00
    0.0018909799 = product of:
      0.0037819599 = sum of:
        0.0037819599 = product of:
          0.0075639198 = sum of:
            0.0075639198 = weight(_text_:a in 620) [ClassicSimilarity], result of:
              0.0075639198 = score(doc=620,freq=10.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.14243183 = fieldWeight in 620, product of:
                  3.1622777 = tf(freq=10.0), with freq of:
                    10.0 = termFreq=10.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=620)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    The Institute for Scientific Information's (ISI, now Thomson Scientific, Philadelphia, PA) citation databases have been used for decades as a starting point and often as the only tools for locating citations and/or conducting citation analyses. The ISI databases (or Web of Science [WoS]), however, may no longer be sufficient because new databases and tools that allow citation searching are now available. Using citations to the work of 25 library and information science (LIS) faculty members as a case study, the authors examine the effects of using Scopus and Google Scholar (GS) on the citation counts and rankings of scholars as measured by WoS. Overall, more than 10,000 citing and purportedly citing documents were examined. Results show that Scopus significantly alters the relative ranking of those scholars that appear in the middle of the rankings and that GS stands out in its coverage of conference proceedings as well as international, non-English language journals. The use of Scopus and GS, in addition to WoS, helps reveal a more accurate and comprehensive picture of the scholarly impact of authors. The WoS data took about 100 hours of collecting and processing time, Scopus consumed 200 hours, and GS a grueling 3,000 hours.
    Type
    a
  11. 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) 0.00
    0.0014351527 = product of:
      0.0028703054 = sum of:
        0.0028703054 = product of:
          0.005740611 = sum of:
            0.005740611 = weight(_text_:a in 3298) [ClassicSimilarity], result of:
              0.005740611 = score(doc=3298,freq=4.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.10809815 = fieldWeight in 3298, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046875 = fieldNorm(doc=3298)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Type
    a