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The effect of multidisciplinary collaborations on research diversification

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Abstract

This work verifies whether research diversification by a scientist is in some measure related to their collaboration with multidisciplinary teams. The analysis considers the publications achieved by 5300 Italian academics in the sciences over the period 2004–2008. The findings show that a scientist’s outputs resulting from research diversification are more often than not the result of collaborations with multidisciplinary teams. The effect becomes more pronounced with larger and particularly with more diversified teams. This phenomenon is observed both at the overall level and for the disciplinary macro-areas.

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Notes

  1. A 5-year publication period is considered adequate to reduce the problem of paucity of publications and year-dependent fluctuations with systematic effects on results (Abramo et al. 2012).

  2. The percentages of Italian social science professors (by field) who have none of their 2001–2004 outputs covered by WoS, are: political economy, 66.2%; economic policy, 75.0%; finance, 69.2%; history of economic thought, 86.7%; econometrics, 28.0%; applied economics, 77.4%; business administration, 96.0%; corporate finance, 87.2%; financial management, 100.0%; business organisation, 81.4%; economics of financial intermediaries, 95.3%; economic history, 95.3%; commodity studies, 67.9% (D’Angelo and Abramo 2015).

  3. Mathematics and computer science, 2.74; physics, 4.54; chemistry, 4.83; earth sciences, 4.03; biology, 5.07; medicine, 6.13; agricultural and veterinary sciences, 4.52; civil engineering, 2.87; industrial and information engineering, 3.47.

  4. http://cercauniversita.cineca.it/php5/docenti/cerca.php . Last Accessed 14 Mar 2018.

  5. The harmonic average of precision and recall (F-measure) of authorships, as disambiguated by the algorithm, is around 97% (2% margin of error, 98% confidence interval).

  6. This step is conducted by: (1) identifying the scientist's production over the period of interest, as indexed in the WoS; (2) associate the publications with the subject categories of the hosting journals; (3) identify the subject category with the largest share of the scientist's publications.

  7. The macro-areas are: mathematics; physics; chemistry; earth and space sciences; biology; biomedical research; clinical medicine; engineering. Our assignment of SCs to macro-areas follows a pattern previously published on the website of ISI Journal Citation Reports, but no longer available on the current Clarivate portal. There are no cases in which an SC is assigned to more than one macro-area.

  8. There could be cases of academics with two or more core fields, i.e. with publications evenly distributed among them.

References

  • Abramo, G., & D’Angelo, C. A. (2014). How do you define and measure research productivity? Scientometrics, 101(2), 1129–1144.

    Article  Google Scholar 

  • Abramo, G., & D’Angelo, C. A. (2017a). Gender differences in research diversification behavior. In Proceedings of the 16th international society of scientometrics and informetrics conference—(ISSI—2017), 16–20 Oct 2017. Wuhan.

  • Abramo, G., & D’Angelo, C. A. (2017b). Does your surname affect the citability of your publications? Journal of Informetrics, 11(1), 121–127.

    Article  Google Scholar 

  • Abramo, G., D’Angelo, C. A., & Cicero, T. (2012). What is the appropriate length of the publication period over which to assess research performance? Scientometrics, 93(3), 1005–1017.

    Article  Google Scholar 

  • Abramo, G., D’Angelo, C. A., & Di Costa, F. (2017a). Diversification vs. specialization in research: Which strategy pays off? Working paper.

  • Abramo, G., D’Angelo, C. A., & Di Costa, F. (2017b). Do interdisciplinary research teams deliver higher gains to science? Scientometrics, 111(1), 317–336.

    Article  Google Scholar 

  • Abramo, G., D’Angelo, C. A., & Di Costa, F. (2017c). The effects of gender, age and academic rank on research diversification. Scientometrics, 114, 1–15.

    Google Scholar 

  • Abramo, G., D’Angelo, C. A., & Di Costa, F. (2017d). Authorship analysis of specialized vs. diversified research output. Working paper.

  • Abramo, G., D’Angelo, C. A., & Murgia, G. (2013). The collaboration behaviors of scientists in Italy: A field level analysis. Journal of Informetrics, 7(2), 442–454.

    Article  Google Scholar 

  • Adelman, M. A. (1969). Comment on the “H” concentration measure as a numbers-equivalent. The Review of Economics and Statistics, 51, 99–101.

    Article  Google Scholar 

  • Boh, W. F., Ren, Y., Kiesler, S., & Bussjaeger, R. (2007). Expertise and collaboration in the geographically dispersed organization. Organization Science, 18(4), 595–612.

    Article  Google Scholar 

  • Bozeman, B., & Corley, E. (2004). Scientists’ collaboration strategies: Implications for scientific and technical human capital. Research Policy, 33(4), 599–616.

    Article  Google Scholar 

  • Clark, B. Y., & Llorens, J. J. (2012). Investments in scientific research: Examining the funding threshold effects on scientific collaboration and variation by academic discipline. Policy Studies Journal, 40(4), 698–729.

    Article  Google Scholar 

  • Cummings, J. N., & Kiesler, S. (2005). Collaborative research across disciplinary and organizational boundaries. Social Studies of Science, 35(5), 703–722.

    Article  Google Scholar 

  • 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 15th international society of scientometrics and informetrics conference—(ISSI—2015) (pp. 909–919). Istanbul: Bogazici University Printhouse.

    Google Scholar 

  • D’Angelo, C. A., Giuffrida, C., & Abramo, G. (2011). A heuristic approach to author name disambiguation in bibliometrics databases for large-scale research assessments. Journal of the American Society for Information Science and Technology, 62(2), 257–269.

    Article  Google Scholar 

  • Darbellay, F. (2015). Rethinking inter- and transdisciplinarity: Undisciplined knowledge and the emergence of a new thought style. Futures, 65, 163–174.

    Article  Google Scholar 

  • He, Z. L., Geng, X. S., & Campbell-Hunt, C. (2009). Research collaboration and research output: A longitudinal study of 65 biomedical scientists in a New Zealand university. Research Policy, 38(2), 306–317.

    Article  Google Scholar 

  • Jones, B. F., Wuchty, S., & Uzzi, B. (2008). Multi-university research teams: Shifting impact, geography, and stratification in science. Science, 322(5905), 1259–1262.

    Article  Google Scholar 

  • Katz, J. S., & Martin, B. R. (1997). What is research collaboration? Research Policy, 26(1), 1–18.

    Article  Google Scholar 

  • Klein, J. T. (2008). Evaluation of interdisciplinary and transdisciplinary research: A literature review. American Journal of Preventive Medicine, 35(2), S116–S123.

    Article  Google Scholar 

  • Lee, S., & Bozeman, B. (2005). The impact of research collaboration on scientific productivity. Social Studies of Science, 35(5), 673–702.

    Article  Google Scholar 

  • Mizukami, Y., Mizutani, Y., Honda, K., Suzuki, S., & Nakano, J. (2017). An international research comparative study of the degree of cooperation between disciplines within mathematics and mathematical sciences: Proposal and application of new indices for identifying the specialized field of researchers. Behaviormetrika, 44(2), 385–403.

    Article  Google Scholar 

  • Mo, G. Y. (2016). Examining cross-disciplinary communication’s impact on multidisciplinary collaborations: Implications for innovations. Information, Communication and Society, 19(9), 1250–1266.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Nature News (2015). Why interdisciplinary research matters. Nature, 525(7569), 305.

    Article  Google Scholar 

  • Shimada, Y., & Suzuki, J. (2017). Promoting scientodiversity inspired by biodiversity. Scientometrics, 113, 1–17.

    Article  Google Scholar 

  • Stokols, D., Fuqua, J., Gress, J., Harvey, R., Phillips, K., Baezconde-Garbanati, L., et al. (2003). Evaluating transdisciplinary science. Nicotine and Tobacco Research, 5(6), 21–39.

    Article  Google Scholar 

  • Strober, M. (2006). Habits of the mind: Challenges for multidisciplinary engagement. Social Epistemology, 20(3–4), 315–331.

    Article  Google Scholar 

  • Viseu, A. (2015). Integration of social science into research is crucial. Nature, 525(7569), 291.

    Article  Google Scholar 

  • Weingart, P. (2000). Interdisciplinarity: The paradoxical discourse. In Peter Weingart & Nico Stehr (Eds.), Practicing interdisciplinarity (pp. 25–41). Toronto: University of Toronto Press Inc.

    Google Scholar 

  • Wray, K. B. (2005). Rethinking scientific specialization. Social Studies of Science, 35(1), 151–164.

    Article  Google Scholar 

  • Ynalvez, M. A., & Shrum, W. M. (2011). Professional networks, scientific collaboration, and publication productivity in resource-constrained research institutions in a developing country. Research Policy, 40(2), 204–216.

    Article  Google Scholar 

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Abramo, G., D’Angelo, C.A. & Di Costa, F. The effect of multidisciplinary collaborations on research diversification. Scientometrics 116, 423–433 (2018). https://doi.org/10.1007/s11192-018-2746-2

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