“…However, some studies also follow certain authors through their publication records (URATA, 1990;PIERCE, 1999). Some studies use interviews and surveys to trace academic careers but this approach is restricted to rather small case studies ( VAN HOUTEN et al, 1983;WAGNER-DOEBLER & BERG, 1993). Career moves of scientists are also a topic of science historical or sociological research (see, e.g.…”
This paper introduces a new approach to detecting scientists' field mobility by focusing on an author's self-citation network, and the co-authorships and keywords in self-citing articles. Contrary to much previous literature on self-citations, we will show that author's self-citation patterns reveal important information on the development and emergence of new research topics over time. More specifically, we will discuss self-citations as a means to detect scientists' field mobility. We introduce a network based definition of field mobility, using the Optimal Percolation Method (LAMBIOTTE & AUSLOOS, 2005;2006). The results of the study can be extended to selfcitation networks of groups of authors and, generally also for other types of networks.
“…However, some studies also follow certain authors through their publication records (URATA, 1990;PIERCE, 1999). Some studies use interviews and surveys to trace academic careers but this approach is restricted to rather small case studies ( VAN HOUTEN et al, 1983;WAGNER-DOEBLER & BERG, 1993). Career moves of scientists are also a topic of science historical or sociological research (see, e.g.…”
This paper introduces a new approach to detecting scientists' field mobility by focusing on an author's self-citation network, and the co-authorships and keywords in self-citing articles. Contrary to much previous literature on self-citations, we will show that author's self-citation patterns reveal important information on the development and emergence of new research topics over time. More specifically, we will discuss self-citations as a means to detect scientists' field mobility. We introduce a network based definition of field mobility, using the Optimal Percolation Method (LAMBIOTTE & AUSLOOS, 2005;2006). The results of the study can be extended to selfcitation networks of groups of authors and, generally also for other types of networks.
“…There is, however, of all 14,813 logic authors from 1874 through 1990 with 3.94 (if no difference is made between main authorship another possible interpretation. Since the frequency distribution of scientific output (often called ''Lotka's law'') and coauthorship), and 3.18 (if a contribution with more than one author is ascribed only fractionally to the auembraces many scientists with a low number of contributions and with moderate participation, in addition to some thors) (Wagner-Döbler & Berg, 1993). Computing the average lifetime productivity of all logic authors (excludvery productive scientists, both the development of a strong elite as well as the development of a ''middleing authors covered only fractionally by the V-Bibliography through the cutoff of the record in the year 1990)…”
Section: * In Mr (03-) Exists Only As Logic Of Programmingmentioning
confidence: 99%
“…A better method is the kind of philosophy definitely entered its epidemic state, showing an exponential growth in terms of the number of analysis of scientists' switching between fields of science and technology, i.e., their cognitive mobility. Most sciparticipators and papers (Wagner-Döbler & Berg, 1993).…”
mentioning
confidence: 99%
“…Wagner-Döbler & Berg, 1993). Some years later, comConcerning the ACM Journal references, the informaputer science also reached its limits of growth for a while.…”
“…Nevertheless, they both belong to the area of professional abstract reasoning, and the number of publications in the two areas-about 36,000 in 19th-century mathematics and 47,000 in mathematical logic until 1990-makes a statistical comparison interesting. For details about data handling and results concerning mathematical logic, see [18].…”
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