Journal of Data and Information Science ›› 2020, Vol. 5 ›› Issue (3): 84-96.doi: 10.2478/jdis-2020-0021
• Research Papers • Previous Articles Next Articles
Lawrence Smolinsky1,(), Aaron J Lercher2
Received:
2019-12-25
Revised:
2020-05-09
Accepted:
2020-06-11
Online:
2020-07-20
Published:
2020-09-04
Contact:
Lawrence Smolinsky
E-mail:smolinsk@math.lsu.edu
Table 2
Physical Review Journals (PR) and their coverage, which reflects the subfields measured.
PR | Coverage |
---|---|
A | Atomic, molecular, & optical physics and quantum information |
B | Condensed matter & materials physics |
C | Areas of experimental & theoretical nuclear physics |
D | Elementary particle physics, field theory, gravitation, & cosmology |
E | Statistical, nonlinear, biological, & soft matter physics |
1 | American Physical Society. ( 2019). Physical Review journals. Retrieved from https://journals.aps.org/about. |
2 | Cole J.R., & Cole S .( 1973). Social stratification in science. Chicago: The University of Chicago Press. |
3 |
Dong H., Li M., Liu R., Wu C., & Wu J . ( 2017). Allometric scaling in scientific fields. Scientometrics, 112(1), 583-594.
doi: 10.1007/s11192-017-2333-y |
4 | Egghe L., Rousseau R., & Van Hooydonk G . ( 2000). Methods for accrediting publications to authors or countries: Consequences for evaluation studies. Journal of the Association for Information Science and Technology, 51(2), 145-157. |
5 |
Garfield E . ( 1955). Citation indexes for science. Science, 122(3159), 108-111.
doi: 10.1126/science.122.3159.108 pmid: 14385826 |
6 | Garfield E . ( 1979). Citation indexing—Its theory and application in science, technology, and humanities. New York: Wiley & Sons. |
7 |
Hsu J.W., & Huang D.W . ( 2009). Distribution for the number of co-authors. Physical Review E, 80(5), 057101.
doi: 10.1103/PhysRevE.80.057101 |
8 |
Ibanez A., Bielza C., & Larranaga P . ( 2013). Relationship among research collaboration, number of documents and number of citations: A case study in Spanish computer science production in 2000-2009. Scientometrics, 95(2), 689-716. https://doi.org/10.1007/s11192-012-0883-6.
doi: 10.1007/s11192-012-0883-6 |
9 | National Research Council (2009). A guide to the methodology of the National Research Council assessment of doctorate programs. Washington, DC: The National Academies Press. |
10 | National Research Council (2011). A data-based assessment of research doctoral in the United States. Washington, DC: The National Academies Press. |
11 |
Onodera N., & Yoshikane F . ( 2015). Factors affecting citation rates of research articles. Journal of the Association for Information Science and Technology, 66(4), 739-764.
doi: 10.1002/asi.23209 |
12 |
Price D. de S . ( 1981). Letter to the editor. Science, 212, 987.
doi: 10.1126/science.212.4498.987 pmid: 17779954 |
13 |
Qian Y., Rong W., Jiang N., Tang J., & Xiong Z . ( 2017). Citation regression analysis of computer science publications in different ranking categories and subfields. Scientometrics, 110(3), 1351-1374. https://doi.org/10.1007/s11192-016-2235-4.
doi: 10.1007/s11192-016-2235-4 |
14 |
Shen Z., Yang L., Pei J., Li M., Wu C., Bao J., Wei T., Di Z., Rousseau R., & Wu J . (2016). Interrelations among scientific fields and their relative influences revealed by an input-output analysis. Journal of Informetrics, 10(1), 82-97. https://doi.org/10.1016/j.joi.2015.11.002.
doi: 10.1016/j.joi.2015.11.002 |
15 | Smolinsky L . (2020) Arbitrage opportunities in publication and ghost authors. Journal of Informetrics, 14(2). https://doi.org/10.1016/j.joi.2020.101016. |
16 | Smolinsky L., & Lercher A . ( 2019). National Research Council’s bibliometric methodology and subfields of a scientific discipline. In Catalano, G., Daraio, C., Gregori, M., Moed, H.F., & Ruocco, G.(Eds), In Proceedings of the 17th Conference of the International Society for Scientometrics and Informetrics (pp. 2684-2685) Rome, Italy: Edizioni Efesto. |
17 |
Smolinsky L., & Lercher A . ( 2012). Citation rates in mathematics: A study of variation by subdiscipline. Scientometrics, 91(3), 911-924.
doi: 10.1007/s11192-012-0647-3 |
18 |
van Eck N.J., Waltman L., van Raan A.F.J., Klautz R.J.M., & Peul W.C . ( 2013). Citation analysis may severely underestimate the impact of clinical research as compared to basic research. PLOS One, 8(4). https://doi.org/10.1371/journal.pone.0062395.
doi: 10.1371/journal.pone.0062761 pmid: 23658649 |
19 |
Walters W.H .( 2014). Do article influence scores overestimate the citation impact of social science journals in subfields that are related to higher-impact natural science disciplines? Journal of Informetrics, 8(2), 421-430. https://doi.org/10.1016/j.joi.2014.02.001.
doi: 10.1016/j.joi.2014.02.001 |
20 |
Zhu Y., & Yan E . ( 2015). Dynamic subfield analysis of disciplines: An examination of the trading impact and knowledge diffusion patterns of computer science. Scientometrics, 104(1), 335-359. https://doi.org/10.1007/s11192-015-1594-6.
doi: 10.1007/s11192-015-1594-6 |
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