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The exponential growth in scientific publications poses a severe challenge for human researchers.
J. R. Quinlan, Induction of decision trees, Machine Learning 1
1986
Earlier work this paper cites.
L. Page, S. Brin, R. Motwani, and T. Winograd, The pagerank citation ranking : Bringing order to the web, Stanford InfoLab (1999)
1999
Earlier work this paper cites.
T. Fawcett, Roc graphs: Notes and practical considerations for researchers, Machine learning 31
2004
Earlier work this paper cites.
L. Fu and C. Aliferis, Using content-based and bibliometric features for machine learning models to predict citation counts in the biomedical literature, Scientometrics 85
2010
Earlier work this paper cites.
S. Rose, D. Engel, N. Cramer, and W. Cowley, Automatic keyword extraction from individual documents, Text mining: applications and theory , 1 (2010)
2010
Earlier work this paper cites.
V. Nair and G. E. Hinton, Rectified linear units improve restricted boltzmann machines, in International conference on machine learning (ICML) (2010)
2010
Earlier work this paper cites.
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, et al. , Scikit-learn: Machine learning in python, Journal of machine learning research 12
2011
Earlier work this paper cites.
D. Wang, C. Song, and A.-L. Barabási, Quantifying long-term scientific impact, Science 342
2013
Earlier work this paper cites.
T. Yu, G. Yu, P.-Y. Li, and L. Wang, Citation impact prediction for scientific papers using stepwise regression analysis, Scientometrics 101
2014
Earlier work this paper cites.
A. Rzhetsky, J. G. Foster, I. T. Foster, and J. A. Evans, Choosing experiments to accelerate collective discovery, Proc. Natl. Acad. Sci. USA 112
2015
Earlier work this paper cites.
Q. Ke, E. Ferrara, F. Radicchi, and A. Flammini, Defining and identifying sleeping beauties in science, Proc. Natl. Acad. Sci. USA 112
2015
Earlier work this paper cites.
C. Stegehuis, N. Litvak, and L. Waltman, Predicting the long-term citation impact of recent publications, Journal of informetrics 9
2015
Earlier work this paper cites.
2015
Earlier work this paper cites.
2015
Earlier work this paper cites.
J. G. Foster, A. Rzhetsky, and J. A. Evans, Tradition and innovation in scientists’ research strategies, American Sociological Review 80
2015
Earlier work this paper cites.
V. Martínez, F. Berzal, and J.-C. Cubero, A survey of link prediction in complex networks, ACM computing surveys (CSUR) 49
2016
Earlier work this paper cites.
R. Sinatra, D. Wang, P. Deville, C. Song, and A.-L. Barabási, Quantifying the evolution of individual scientific impact, Science 354
2016
Earlier work this paper cites.
A.-L. Barabási, Network Science (Cambridge University Press, 2016)
2016
Earlier work this paper cites.
2016
Earlier work this paper cites.
Challenge the impact factor, Nature Biomedical Engineering 1
2017
Earlier work this paper cites.
X. Bai, H. Liu, F. Zhang, Z. Ning, X. Kong, I. Lee, and F. Xia, An overview on evaluating and predicting scholarly article impact, Information 8
2017
Earlier work this paper cites.
L. Weihs and O. Etzioni, Learning to predict citation-based impact measures, in 2017 ACM/IEEE joint conference on digital libraries (JCDL) (IEEE, 2017) pp. 1–10
2017
Cited alongside, same era.
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. u. Kaiser, and I. Polosukhin, Attention is all you need, in Advances in Neural Information Processing Systems , Vol. 30, edited by I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Curran Associates, Inc., 2017)
2017
Cited alongside, same era.
A. A. Salatino, F. Osborne, and E. Motta, How are topics born? understanding the research dynamics preceding the emergence of new areas, PeerJ Computer Science 3
2017
Cited alongside, same era.
S. Fortunato, C. T. Bergstrom, K. Börner, J. A. Evans, D. Helbing, S. Milojević, A. M. Petersen, F. Radicchi, R. Sinatra, B. Uzzi, et al. , Science of science, Science 359
2018
Cited alongside, same era.
L. Bornmann, R. Haunschild, and R. Mutz, Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases, Humanities and Social Sciences Communications 8
2021
Later among the works it cites.
J. W. Weis and J. M. Jacobson, Learning on knowledge graph dynamics provides an early warning of impactful research, Nature Biotechnology 39
2021
Later among the works it cites.
E. J. Bergholtz, J. C. Budich, and F. K. Kunst, Exceptional topology of non-hermitian systems, Rev. Mod. Phys. 93
2021
Later among the works it cites.
Y. Lu, Predicting research trends in artificial intelligence with gradient boosting decision trees and time-aware graph neural networks, in 2021 IEEE International Conference on Big Data (Big Data) (IEEE, 2021) pp. 5809–5814
2021
Later among the works it cites.
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A.-L. Barabási, The formula: The universal laws of success (Hachette UK, 2018)
2018
Cited alongside, same era.
B. P. Abbott, R. Abbott, T. D. Abbott, F. Acernese, K. Ackley, C. Adams, T. Adams, P. Addesso, R. X. Adhikari, V. B. Adya, et al. (LIGO Scientific Collaboration and Virgo Collaboration), Constraints on cosmic strings using data from the first advanced ligo observing run, Phys. Rev. D 97
2018
Cited alongside, same era.
E. van Nieuwenburg, E. Bairey, and G. Refael, Learning phase transitions from dynamics, Phys. Rev. B 98
2018
Cited alongside, same era.
Y. Rong, Y. Hu, A. Mei, H. Tan, M. I. Saidaminov, S. I. Seok, M. D. McGehee, E. H. Sargent, and H. Han, Challenges for commercializing perovskite solar cells, Science 361
2018
Cited alongside, same era.
G. H. Nguyen, J. B. Lee, R. A. Rossi, N. K. Ahmed, E. Koh, and S. Kim, Continuous-time dynamic network embeddings, in Companion proceedings of the the web conference 2018 (2018) pp. 969–976
2018
Cited alongside, same era.
A. A. Salatino, F. Osborne, and E. Motta, Augur: forecasting the emergence of new research topics, in Proceedings of the 18th ACM/IEEE on joint conference on digital libraries (2018) pp. 303–312
2018
Cited alongside, same era.
M. R. Frank, D. Wang, M. Cebrian, and I. Rahwan, The evolution of citation graphs in artificial intelligence research, Nature Machine Intelligence 1
2019
Cited alongside, same era.
L. Wu, D. Wang, and J. A. Evans, Large teams develop and small teams disrupt science and technology, Nature 566
2019
Cited alongside, same era.
F. Battiston, E. Amico, A. Barrat, G. Bianconi, G. Ferraz de Arruda, B. Franceschiello, I. Iacopini, S. Kéfi, V. Latora, Y. Moreno, et al. , The physics of higher-order interactions in complex systems, Nature Physics 17
2021
Later among the works it cites.
J. G. Foster, F. Shi, and J. Evans, Surprise! measuring novelty as expectation violation, SocArXiv 2t46f (2021)
2021
Later among the works it cites.
M. Krenn, R. Pollice, S. Y. Guo, M. Aldeghi, A. Cervera-Lierta, P. Friederich, G. dos Passos Gomes, F. Häse, A. Jinich, A. Nigam, et al. , On scientific understanding with artificial intelligence, Nature Reviews Physics 4
2022
Later among the works it cites.
2022
Later among the works it cites.
A. V. Belikov, A. Rzhetsky, and J. Evans, Prediction of robust scientific facts from literature, Nature Machine Intelligence 4
2022
Later among the works it cites.
OpenAI, Gpt-4 technical report, arXiv:2303.08774 (2023)
2023
Later among the works it cites.
Google, Gemini: a family of highly capable multimodal models, arXiv:2312.11805 (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
W. Xia, T. Li, and C. Li, A review of scientific impact prediction: tasks, features and methods, Scientometrics 128
2023
Later among the works it cites.
2023
Later among the works it cites.
J. Sourati and J. A. Evans, Accelerating science with human-aware artificial intelligence, Nature Human Behaviour 7
2023
Later among the works it cites.
Z. Lin, Y. Yin, L. Liu, and D. Wang, Sciscinet: A large-scale open data lake for the science of science research, Scientific Data 10
2023
Later among the works it cites.
F. Shi and J. Evans, Surprising combinations of research contents and contexts are related to impact and emerge with scientific outsiders from distant disciplines, Nature Communications 14
2023
Later among the works it cites.
The many facets of impact, Nature Reviews Physics 6
2024
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2024
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F. Frohnert, X. Gu, M. Krenn, and E. van Nieuwenburg, Discovering emergent connections in quantum physics research via dynamic word embeddings, Machine Learning: Science and Technology 10.1088/2632-2153/adb00a (2025)
2025
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