Search (1 results, page 1 of 1)

  • × author_ss:"Kretschmer, H."
  • × author_ss:"Rousseau, R."
  1. Kretschmer, H.; Rousseau, R.: Author inflation leads to a breakdown of Lotka's law : in and out of context (2001) 0.04
    0.035241142 = sum of:
      0.03161237 = product of:
        0.12644948 = sum of:
          0.12644948 = weight(_text_:authors in 5205) [ClassicSimilarity], result of:
            0.12644948 = score(doc=5205,freq=6.0), product of:
              0.24157293 = queryWeight, product of:
                4.558814 = idf(docFreq=1258, maxDocs=44218)
                0.052990302 = queryNorm
              0.52344227 = fieldWeight in 5205, product of:
                2.4494898 = tf(freq=6.0), with freq of:
                  6.0 = termFreq=6.0
                4.558814 = idf(docFreq=1258, maxDocs=44218)
                0.046875 = fieldNorm(doc=5205)
        0.25 = coord(1/4)
      0.0036287727 = product of:
        0.0072575454 = sum of:
          0.0072575454 = weight(_text_:e in 5205) [ClassicSimilarity], result of:
            0.0072575454 = score(doc=5205,freq=2.0), product of:
              0.07616667 = queryWeight, product of:
                1.43737 = idf(docFreq=28552, maxDocs=44218)
                0.052990302 = queryNorm
              0.09528506 = fieldWeight in 5205, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                1.43737 = idf(docFreq=28552, maxDocs=44218)
                0.046875 = fieldNorm(doc=5205)
        0.5 = coord(1/2)
    
    Abstract
    Fractional counting of authors of multi-authored papers has been shown to lead to a breakdown of Lotka's Law despite its robust character under most circumstances. Kretschmer and Rousseau use the normal count method of full credit for each author on two five-year bibliographies from each of 13 Dutch physics institutes where high co-authorship is a common occurrence. Kolmogorov-Smirnov tests were preformed to see if the Lotka distribution fit the data. All bibliographies up to 40 authors fit acceptably; no bibliography with a paper with over 100 authors fits the distribution. The underlying traditional "success breeds success" mechanism assumes new items on a one by one basis, but Egghe's generalized model would still account for the process. It seems unlikely that Lotka's Law will hold in a high co-authorship environment.
    Language
    e