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Science of science
Open accessAbstract
The whys and wherefores of SciSci: The science of science (SciSci) is based on a transdisciplinary approach that uses large data sets to study the mechanisms underlying the doing of science—from the choice of a research problem to career trajectories and progress within a field. In a Review, Fortunato et al. explain that the underlying rationale is that with a deeper understanding of the precursors of impactful science, it will be possible to develop systems and policies that improve each scientist's ability to succeed and enhance the prospects of science as a whole. Science , this issue p. eaao0185
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“the cumulative nature of scientific research [12] makes the knowledge ecosystem vulnerable to perpetuating errors [13], [14]”
From LLM hallucinations in the wild: Large-scale evidence from non-existent citations (2026) · cites this paper as [12]
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“Specifically, we believe that practices fundamental to the business models of paper mills leave a collaboration fingerprint that can be identified using techniques familiar to the ‘Science of Science’12.”
From Identifying fabricated networks within authorship-for-sale enterprises (2024) · cites this paper as [12]
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Molnár, P., & Pintér, H. (2019) · Információs Társadalom · doi:10.22503/inftars.xix.2019.1.2 · Cited by 1
An examination of citation-based impact of the computational biology conferences
Naidu, J. S., Delano, J., Mathews, S., & Predrag Radivojac, A. (2020) · Bioinformatics · doi:10.1093/bioinformatics/btaa071 · Cited by 1
The COVID-19 Pandemic: Exploring Its Future through Rhizomatic Thinking
Jayasinghe, S. (2022) · World Futures · doi:10.1080/02604027.2021.2014748 · Cited by 1
“Reductionism and holism (or systems thinking) form two of the predominant paradigms in science (Capra & Luisi, 2016, Fortunato et al., 2018).”
BackgroundCustomizable Automated High Content Image Acquisition and Analysis for Tissue Biopsies
Neal, C. A., Hodge, J., Zamierowski, D. S., & Mellott, A. J. (2022) · Microscopy Today · doi:10.1017/s155192952200044x · Cited by 1
Revealing role of the Korean Physics Society with keyword co-occurrence network
Jo, S., Park, C., Lee, J., Yoon, J., & Jung, W. (2022) · Journal of the Korean Physical Society · doi:10.1007/s40042-022-00548-1 · Cited by 1
Research on Overlapping Communities in Scientific Cooperation Network
Wu, F., Yang, C. Q., Zheng, X., Li, D., & Chen, K. (2022) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2281/1/012013 · Cited by 1
“It is found that in the scientific cooperation network, scientists belonging to the same community usually have the same position on scientific issues or belong to the same research sub field [1].”
BackgroundPredictive analysis of multiple future scientific impacts by embedding a heterogeneous network
Ochi, M., Shiro, M., Mori, J., & Sakata, I. (2022) · PLoS ONE · doi:10.1371/journal.pone.0274253 · Cited by 1
O’Shaughnessy, S. M., Dimagli, A., Kachulis, B., Rahouma, M., Demetres, M. R., Govea, N., & Rong, L. Q. (2022) · British Journal of Anaesthesia · doi:10.1016/j.bja.2022.09.008 · Cited by 1
Song, J., He, Y., Sun, X., & Huang, D. (2022) · IEEE/ACIS International Conference on Computer and Information Science (ICIS) · doi:10.1109/icis54925.2022.9882413 · Cited by 1
Reflexões sobre avaliação da produção científica – um olhar especial para o Brasil
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Franzoni, C., & Stephan, P. E. (2022) · Research Policy · doi:10.1016/j.respol.2022.104710 · Cited by 1
Chang, E. M., & Mao, C. (2023) · Systemic Practice and Action Research · doi:10.1007/s11213-022-09629-5 · Cited by 1
“With the modernization of research paradigms and scientific interactions, scientific technology emerges faster and faster, forming a complex knowledge system through self-organizing and continuous evolution (Fortunato et al. 2018).”
BackgroundResearch collaboration networks in Latin American geography education
Campos, A. C. (2023) · Revista Geográfica · doi:10.35424/regeo.166.2023.3124 · Cited by 2
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Azevedo, B., Cunha, F., & Branco, P. (2023) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-031-28993-4_41 · Cited by 1
Lessons from shortcomings in machine learning for medical imaging
Varoquaux, G. P., & Cheplygina, V. (2023) · OECD eBooks · doi:10.1787/b885eecd-en · Cited by 2
Simple algorithm for judging equivalence of differential-algebraic equation systems
Kato, S., Zhang, C., & Kano, M. (2023) · Scientific Reports · doi:10.1038/s41598-023-38254-y · Cited by 1
“The method has two assumptions to be removed: (1) any equation is solvable for one variable, and (2) the number of solutions for each equation is one.”
MethodShe is an Expert in this Research Field: The Signal of Recent Publications' Relevance
Zeevi, G., & Mokryn, O. (2023) · Northeast Journal of Complex Systems · doi:10.22191/nejcs/vol5/iss1/7/ · Cited by 1
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Mreła, A., Osińska, V., & Sokołov, O. (2022) · Bulletin of the Polish Academy of Sciences Technical Sciences · doi:10.24425/bpasts.2022.141988 · Cited by 1
“But only a few articles will receive the greatest number of citations related to a new idea; the most widely known pioneer works directly reporting the discovery [28].”
Background
Metadata
- Authors
- Fortunato, S., Bergstrom, C. T., Börner, K., Evans, J. A., Helbing, D., Milojević, S., Petersen, A. M., Radicchi, F., Sinatra, R., Uzzi, B., Vespignani, A., Waltman, L., Wang, D., & Barabási, A.-L.
- Affiliations
- Indiana University Bloomington (US)
- University of Washington (US)
- University of Chicago (US)
- ETH Zurich (CH)
- University of California, Merced (US)
- Northeastern University (US)
- Northwestern University (US)
- Leiden University (NL)
- Center for Network Science, Central European University, Budapest 1052, Hungary.
- Corresponding author
- Fortunato, Santo
- ORCID
- Venue
- Science
- Published
- 2018-03-02
- Volume
- 359
- Issue
- 6379
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC5949209
- OpenAlex
- W2793071066
- Cited by
- 1,497
- References
- 113
- Citations by year
- 2026: 222 · 2025: 223 · 2024: 223 · 2023: 197 · 2022: 164 · 2021: 180 · 2020: 126 · 2019: 113 · 2018: 43
- FWCI
- 22.72
- Type
- journal article
- Language
- en
- Open access
- Licence
- other-oa
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, other-oa)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- IUScholarWorks Open (Indiana University) (submittedVersion)
- Funders
- NIH Office of the Director (P01 AG039347, U01CA198934, IIS-0910664)
- NSF Office of the Director (NCSE 1538763, EAGER1566393, NCN CP Supplement 1553044)
- AFOSR (FA9550-15-1-0077, FA9550-15-1-0162, FA9550-17-1-0089)
- European Commission (641191)
- Air Force Office of Scientific Research (FA9550-15-1-0364)
- Army Research Office (W911NF-15-1-0577)
- Topics
- Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Research, Science, and Academia
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Keywords
- science of science, research output, science policy, scientific careers, research funding, research frontiers
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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