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A Nobel opportunity for interdisciplinarity

Nature Physicsvolume 14pages10751078 (2018) | Download Citation

Despite the growing interdisciplinarity of research, the Nobel Prize consolidates the traditional disciplinary categorization of science. There is, in fact, an opportunity for the most revered scientific reward to mirror the current research landscape.

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All data generated or analysed during this study are included in the supplementary information files of this published article.

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The authors thank H.-W. Shen for providing the data set of Nobel Prize-winning papers, F. Musciotto for Web of Science data extraction, and M. Iori, F. Battiston and A.-L. Barabási for helpful comments. R.S. and M.S. acknowledge support from AFOSR grant FA9550-15-1-0077 and from the Templeton Foundation grant no. 61066. R.S. acknowledges support from AFOSR grant FA9550-15-1-0364 and from the Central European University Intellectual Themes Initiative ‘Just Data’.

Author information


  1. Department of Network and Data Science, Central European University, Budapest, Hungary

    • Michael Szell
    •  & Roberta Sinatra
  2. Center for Complex Network Research, Northeastern University, Boston, MA, USA

    • Michael Szell
    •  & Roberta Sinatra
  3. Complexity Science Hub, Vienna, Austria

    • Michael Szell
    •  & Roberta Sinatra
  4. MTA KRTK Agglomeration and Social Networks Lendulet Research Group, Centre for Economic and Regional Studies, Hungarian Academy of Sciences, Budapest, Hungary

    • Michael Szell
  5. Northwestern Institute on Complex Systems (NICO) and Kellogg School of Management, Northwestern University, Evanston, IL, USA

    • Yifang Ma
  6. Key Laboratory of Mathematics, Informatics and Behavioral Semantics, Ministry of Education, Beijing, China

    • Yifang Ma
  7. Department of Mathematics, Central European University, Budapest, Hungary

    • Roberta Sinatra
  8. ISI Foundation, Torino, Italy

    • Roberta Sinatra


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Corresponding author

Correspondence to Roberta Sinatra.

Supplementary information

  1. Supplementary Information

    Supplementary Figures and Notes

  2. Supplementary Dataset 1

    Bibliographic information of the 220 papers with interdisciplinary impact found among the top 10,000 cited papers, including identified subfields

  3. Supplementary Dataset 2

    Field-specific citations of the top 10,000 cited papers

  4. Supplementary Dataset 3

    Bibliographic information of the Nobel Prize-winning papers, including field-specific citations and laureates

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