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Sanjeev Arora

Active 1987–2026

Also published as
SANJEEV ARORA
259
Papers
36,929
Citations
89
h-index
199
i10-index

Citations

Citations per year for Sanjeev Arora1971: 1 citations1977: 1 citations1987: 1 citations1988: 1 citations1989: 4 citations1990: 6 citations1991: 13 citations1992: 19 citations1993: 57 citations1994: 105 citations1995: 103 citations1996: 100 citations1997: 137 citations1998: 188 citations1999: 178 citations2000: 167 citations2001: 146 citations2002: 161 citations2003: 175 citations2004: 223 citations2005: 289 citations2006: 257 citations2007: 311 citations2008: 305 citations2009: 318 citations2010: 375 citations2011: 489 citations2012: 489 citations2013: 583 citations2014: 645 citations2015: 691 citations2016: 694 citations2017: 641 citations2018: 814 citations2019: 1,297 citations2020: 1,541 citations2021: 1,365 citations2022: 858 citations2023: 882 citations2024: 985 citations2025: 1,078 citations2026: 510 citations1972–1976: no citations, so these years are not shown1978–1986: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 5,326 citing papers, 34% of this breakdownChina: 1,204 citing papers, 7.7% of this breakdownGermany: 933 citing papers, 6% of this breakdownUnited Kingdom: 819 citing papers, 5.2% of this breakdownCanada: 727 citing papers, 4.6% of this breakdownIsrael: 719 citing papers, 4.6% of this breakdownFrance: 599 citing papers, 3.8% of this breakdownIndia: 399 citing papers, 2.5% of this breakdownJapan: 379 citing papers, 2.4% of this breakdownAustralia: 368 citing papers, 2.4% of this breakdownSwitzerland: 355 citing papers, 2.3% of this breakdownNetherlands: 351 citing papers, 2.2% of this breakdown
0%34%Other 22.3%

Institutions

Fields

  • Computer Science67.6%
  • Engineering8.1%
  • Medicine7.3%
  • Decision Sciences2.8%
  • Biochemistry, Genetics and Molecular Biology2.3%
  • Mathematics2.2%
  • Other9.7%

Topics

  • Complexity and Algorithms in Graphs7.1%
  • Advanced Graph Theory Research4.1%
  • Topic Modeling3.4%
  • Cryptography and Data Security2.5%
  • Optimization and Search Problems2.2%
  • Natural Language Processing Techniques2.1%
  • Other78.6%

Coauthors

All papers

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  1. LESS: Selecting Influential Data for Targeted Instruction Tuning

    Authors: Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, Sanjeev Arora, Danqi Chen - ICML 2024 cited by 547

  2. Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving

    Authors: Yong Lin, Shange Tang, Bohan Lyu, Jiayun Wu, Hongzhou Lin, Kaiyu Yang, Jia Li, Mengzhou Xia, Danqi Chen, Sanjeev Arora, Chi Jin - ArXiv.org, CoRR 2025 cited by 103

  3. Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction

    Authors: Yong Lin, Shange Tang, Bohan Lyu, Ziran Yang, Jui-Hui Chung, Haoyu Zhao, Lai Jiang, Yihan Geng, Jiawei Ge, Jingruo Sun, Jiayun Wu, Jiri Gesi, Ximing Lu, David Acuna, Kaiyu Yang, Hongzhou Lin, Yejin Choi, Danqi Chen, Sanjeev Arora, Chi Jin - ArXiv.org, CoRR 2025 cited by 100

  4. A Theory for Emergence of Complex Skills in Language Models

    Authors: Sanjeev Arora, Anirudh Goyal - arXiv (Cornell University), CoRR 2023 cited by 109

  5. A Theoretical Analysis of Contrastive Unsupervised Representation Learning

    Authors: Nikunj Saunshi, Orestis Plevrakis, Sanjeev Arora, Mikhail Khodak, Hrishikesh Khandeparkar - ICML 2019 cited by 910

  6. CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

    Authors: Zirui Wang, Mengzhou Xia, Luxi He, Howard Chen, Yitao Liu, Richard Zhu, Kaiqu Liang, Xindi Wu, Haotian Liu, Sadhika Malladi, Alexis Chevalier, Sanjeev Arora, Danqi Chen - Advances in Neural Information Processing Systems 37, NeurIPS 2024 cited by 237

  7. The Multiplicative Weights Update Method: a Meta-Algorithm and Applications

    Authors: Sanjeev Arora, Elad Hazan, Satyen Kale - Theory of Computing, Theory Comput. 2005 cited by 925

  8. Proof Verification and the Hardness of Approximation Problems

    Authors: Sanjeev Arora, Carsten Lund, Rajeev Motwani, Madhu Sudan, Mario Szegedy - Journal of the ACM, Electron. Colloquium Comput. Complex. 1998 cited by 1,420

  9. Fine-Tuning Language Models with Just Forward Passes

    Authors: Sadhika Malladi, Tianyu Gao, Eshaan Nichani, Alex Damian, Jason D. Lee, Danqi Chen, Sanjeev Arora - Advances in Neural Information Processing Systems 36, NeurIPS 2023 cited by 429

  10. Polynomial Time Approximation Schemes for Euclidean Traveling Salesman and other Geometric Problems

    Authors: Sanjeev Arora - Journal of the ACM, J. ACM 1998 cited by 1,146

  11. Evaluating Gradient Inversion Attacks and Defenses in Federated Learning

    Authors: Yangsibo Huang, Samyak Gupta, Zhao Song, Kai Li, Sanjeev Arora - NeurIPS 2021 cited by 391

  12. Computational Complexity - A Modern Approach

    Authors: Sanjeev Arora, Boaz Barak - Cambridge University Press eBooks 2009 cited by 2,407

  13. A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks

    Authors: Sanjeev Arora, Nadav Cohen, Noah Golowich, Wei Hu - ICLR (Poster) 2018 cited by 350

  14. Probabilistic checking of proofs

    Authors: Sanjeev Arora, Muli Safra - Journal of the ACM 1998 cited by 1,167

  15. What Makes a Reward Model a Good Teacher? An Optimization Perspective

    Authors: Noam Razin, Zixuan Wang, Hubert Strauss, Stanley Wei, Jason D. Lee, Sanjeev Arora - NeurIPS 2025 cited by 44

  16. Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates

    Authors: Kaifeng Lyu, Haoyu Zhao, Xinran Gu, Dingli Yu, Anirudh Goyal, Sanjeev Arora - Advances in Neural Information Processing Systems 37, NeurIPS 2024 cited by 115

  17. Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization

    Authors: Noam Razin, Sadhika Malladi, Adithya Bhaskar, Danqi Chen, Sanjeev Arora, Boris Hanin - ICLR 2025 cited by 67

  18. LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?

    Authors: Zihan Zheng, Zerui Cheng, Zeyu Shen, Shang Zhou, Kaiyuan Liu, Hansen He, Dongruixuan Li, Stanley Wei, Hangyi Hao, Jianzhu Yao, Peiyao Sheng, Zixuan Wang, Wenhao Chai, Aleksandra Korolova, Peter Henderson, Sanjeev Arora, Pramod Viswanath, Jingbo Shang, Saining Xie - NeurIPS 2025 cited by 50

  19. Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving

    Authors: Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, Siyuan Guo, Michal Valko, Timothy P. Lillicrap, Danilo Jimenez Rezende, Yoshua Bengio, Michael C. Mozer, Sanjeev Arora - Advances in Neural Information Processing Systems 37, NeurIPS 2024 cited by 87

  20. An Exponential Learning Rate Schedule for Deep Learning

    Authors: Zhiyuan Li, Sanjeev Arora - ICLR 2020 cited by 274

  21. New Algorithms for Learning in Presence of Errors

    Authors: Sanjeev Arora, Rong Ge - Lecture notes in computer science, ICALP (1) 2011 cited by 240

  22. SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models

    Authors: Dingli Yu, Simran Kaur, Arushi Gupta, Jonah Brown-Cohen, Anirudh Goyal, Sanjeev Arora - ICLR 2024 cited by 76

  23. AI-Assisted Generation of Difficult Math Questions

    Authors: Vedant Shah, Dingli Yu, Kaifeng Lyu, Simon Park, Yu, Jiatong, He, Yinghui, Nan Rosemary Ke, Michael C. Mozer, Yoshua Bengio, Sanjeev Arora, Anirudh Goyal - arXiv (Cornell University), CoRR 2024 cited by 31

  24. Task-Specific Skill Localization in Fine-tuned Language Models

    Authors: Abhishek Panigrahi, Nikunj Saunshi, Haoyu Zhao, Sanjeev Arora - ICML 2023 cited by 118