Abstract
We investigate whether and in what measure scientists tend to diversify their research activity, and if this tendency varies according to their belonging to different disciplinary areas. We analyze the nature of research diversification along three dimensions: extent of diversification, intensity of diversification, and degree of relatedness of topics in which researchers diversifies. For this purpose we propose three bibliometric indicators, based on the disciplinary placement of scientific output of individual scientists. The empirical investigation shows that the extent of diversification is lowest for scientists in Mathematics and highest in Chemistry; intensity of diversification is lowest in Earth sciences and highest in Industrial and information engineering; and degree of relatedness is lowest in Earth sciences and highest in Chemistry.
Similar content being viewed by others
Notes
For details see http://incites.isiknowledge.com/common/help/h_field_category_wos.html. Last accessed 4 April 2017.
For details see http://www.scopus.tk/2016/06/asjc-code-list.html. Last accessed 4 April 2017.
For the complete list see http://attiministeriali.miur.it/UserFiles/115.htm. Last accessed 4 April 2017.
Mathematics and computer sciences; Physics; Chemistry; Earth sciences; Biology; Medicine; Agricultural and veterinary sciences; Civil engineering; Industrial and information engineering.
http://www.nifu.no/en/statistikk/databaser-og-registre/4897-2/ Last accessed 4 April 2017.
The choice of a publication window quite far in the past is in consideration of a planned follow-up study with the aim of assessing whether interdisciplinary output is more influential in terms of citations: a longer citation window assures more robust and reliable results.
See http://cercauniversita.cineca.it/php5/docenti/cerca.php. Last accessed 4 April, 2017.
Article, reviews, letters and conference proceedings.
Each WoS subject category is associated with a single discipline, i.e., one of: Mathematics; Physics; Chemistry; Earth and space sciences; Biology; Biomedical research; Clinical medicine; Psychology; Engineering; Economics; Law, Political and social sciences; Multidisciplinary sciences; Art and humanities.
For reasons of significance, we omit the SDSs (8 in all) with less than 10 diversified professors.
Here too, we omit the SDSs (8 in all) with less than 10 diversified professors.
References
Abramo, G., D’Angelo, C. A., & Di Costa, F. (2012). Identifying interdisciplinarity through the disciplinary classification of coauthors of scientific publications. Journal of the American Society for Information Science and Technology, 63(11), 2206–2222.
Boulding, K. E. (1956). General systems theory: The skeleton of science. Management Science, 2(3), 197–208.
Bourke, P., & Butler, L. (1998). Institutions and the map of science: Matching university departments and fields of research. Research Policy, 26(6), 711–718.
D’Angelo, C. A., & Abramo, G. (2015). Publication rates in 192 research fields. In A. Salah, Y. Tonta, A. A. A. Salah, & C. Sugimoto (Eds.), Proceedings of the 15 th International Society of Scientometrics and Informetrics Conference–(ISSI–2015) (pp. 909–919). Istanbul: Bogazici University Printhouse.
D’Angelo, C. A., Giuffrida, C., & Abramo, G. (2011). A heuristic approach to author name disambiguation in large-scale bibliometric databases. Journal of the American Society for Information Science and Technology, 62(2), 257–269.
Dorta-González, P., Dorta-González, M. I., Santos-Peñate, D. R., & Suárez-Vega, R. (2014). Journal topic citation potential and between-field comparisons: The topic normalized impact factor. Journal of Informetrics, 8(2), 406–418.
Huutoniemi, K., Klein, J. T., Bruun, H., & Hukkinen, J. (2010). Analyzing interdisciplinarity: Typology and indicators. Research Policy, 39(1), 79–88.
Klein, J. T. (1996). Crossing boundaries: Knowledge, disciplinarities, and interdisciplinarities. Charlottesville, VA: University Press of Virginia.
Klein, J. T. (2008). Evaluation of interdisciplinary and transdisciplinary research: A literature review. American Journal of Preventive Medicine, 35(2), S116–S123.
Mugabushaka, A. M., Kyriakou, A., & Papazoglou, T. (2016). Bibliometric indicators of interdisciplinarity: the potential of the Leinster–Cobbold diversity indices to study disciplinary diversity. Scientometrics, 107(2), 593–607.
Porter, A. L., Cohen, A. S., Roessner, J. D., & Perreault, M. (2007). Measuring researcher interdisciplinarity. Scientometrics, 72(1), 117–147.
Porter, A., & Rafols, I. (2009). Is science becoming more interdisciplinary? Measuring and mapping six research fields over time. Scientometrics, 81(3), 719–745.
Porter, A. L., Roessner, J. D., Cohen, A. S., & Perreault, M. (2006). Interdiscipinary research: Meaning, metrics and nurture. Research Evaluation, 15(3), 187–195.
Price, D. J. D. (1963). Little science, big science. New York: Columbia University Press.
Rafols, I., & Meyer, M. (2010). Diversity measures and network centralities as indicators of interdisciplinarity: Case studies in bionanoscience. Scientometrics, 82(2), 263–287.
Rhoten, D., Caruso, D., & Parker, A. (2003). A multi-method analysis of the social and technical conditions for interdisciplinary collaboration. Hybrid Vigor Institute: NSF BCS-0129573 Final Report.
Rinia, E. J., Van Leeuwen, T. N., Van Vuren, H. G., & Van Raan, A. F. J. (2001). Influence of interdisciplinarity on peer-review and bibliometric evaluations in physics research. Research Policy, 30(3), 357–361.
Rørstad, K., & Aksnes, D. W. (2015). Publication rate expressed by age, gender and academic position-A large-scale analysis of Norwegian academic staff. Journal of Informetrics, 9(2), 317–333.
Schmidt, J. C. (2008). Towards a philosophy of interdisciplinarity. Poiesis and Praxis, 5(1), 53–69.
Schummer, J. (2004). Multidisciplinarity, interdisciplinarity, and patterns of research collaboration in nanoscience and nanotechnology. Scientometrics, 59(3), 425–465.
Stirling, A. (1994). Diversity and ignorance in electricity supply investment: addressing the solution rather than the problem. Energy Policy, 22(3), 195–216.
Stirling, A. (2007). A general framework for analysing diversity in science, technology and society. Journal of the Royal Society, Interface, 4(15), 707–719.
van Raan, A. F. J., & van Leeuwen, T. (2002). Assessment of the scientific basis of interdisciplinarity, applied research. Application of bibliometric methods in Nutrition and Food Research. Research Policy, 31(4), 611–632.
Wagner, C. S., Roessner, J. D., Bobb, K., Klein, J. T., Boyack, K. W., Keyton, J., et al. (2011). Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature. Journal of Informetrics, 5(1), 14–26.
Waltman, L., & van Eck, N. J. (2012). A new methodology for constructing a publication-level classification system of science. Journal of the American Society for Information Science and Technology, 63(12), 2378–2380.
Wang, J., Thijs, B., & Glänzel, W. (2015). Interdisciplinarity and impact: Distinct effects of variety, balance, and disparity. PLoS ONE, 10(5), e0127298.
Wang, Q., & Waltman, L. (2016). Large-scale analysis of the accuracy of the journal classification systems of Web of Science and Scopus. Journal of Informetrics, 10(2), 347–364.
Zhang, L., Rousseau, R., & Glänzel, W. (2016). Diversity of references as an indicator of the interdisciplinarity of journals. Journal of the Association for Information Science and Technology, 67(5), 1257–1265.
Author information
Authors and Affiliations
Corresponding author
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Abramo, G., D’Angelo, C.A. & Di Costa, F. Specialization versus diversification in research activities: the extent, intensity and relatedness of field diversification by individual scientists. Scientometrics 112, 1403–1418 (2017). https://doi.org/10.1007/s11192-017-2426-7
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11192-017-2426-7