| The Computational Limits of Deep Learning NC Thompson, K Greenewald, K Lee, GF Manso arxiv, https://arxiv.org/abs/2007.05558, 2020 | 1158 | 2020 |
| There’s plenty of room at the Top: What will drive computer performance after Moore’s law? CE Leiserson, NC Thompson, JS Emer, BC Kuszmaul, BW Lampson, ... Science 368 (6495), eaam9744, 2020 | 666 | 2020 |
| The growing influence of industry in AI research N Ahmed, M Wahed, NC Thompson Science 379 (6635), 884-886, 2023 | 266 | 2023 |
| Deep Learning's Diminishing Returns: The Cost of Improvement is Becoming Unsustainable NC Thompson, K Greenewald, K Lee, GF Manso IEEE Spectrum 58 (10), 50-55, 2021 | 239 | 2021 |
| How to measure and draw causal inferences with patent scope JM Kuhn, NC Thompson International Journal of the Economics of Business 26 (1), 5-38, 2019 | 176* | 2019 |
| The decline of computers as a general purpose technology NC Thompson, S Spanuth Communications of the ACM 64 (3), 64-72, 2021 | 147* | 2021 |
| The ai risk repository: A comprehensive meta-review, database, and taxonomy of risks from artificial intelligence P Slattery, AK Saeri, EAC Grundy, J Graham, M Noetel, R Uuk, J Dao, ... arXiv preprint arXiv:2408.12622, 2024 | 131 | 2024 |
| Large Language Model Routing with Benchmark Datasets T Shnitzer, A Ou, M Silva, K Soule, Y Sun, J Solomon, N Thompson, ... arXiv preprint arXiv:2309.15789, 2023 | 129 | 2023 |
| Science is shaped by wikipedia: Evidence from a randomized control trial N Thompson, D Hanley | 116 | 2018 |
| University licensing and the flow of scientific knowledge NC Thompson, AA Ziedonis, DC Mowery Research Policy 47 (6), 1060-1069, 2018 | 82* | 2018 |
| Economic impacts of AI-augmented R&D T Besiroglu, N Emery-Xu, N Thompson Research Policy 53 (7), 105037, 2024 | 71 | 2024 |
| Beyond AI Exposure: Which Tasks are Cost-Effective to Automate with Computer Vision? M Svanberg, W Li, M Fleming, B Goehring, N Thompson Available at SSRN 4700751, 2024 | 71 | 2024 |
| Algorithmic progress in language models A Ho, T Besiroglu, E Erdil, D Owen, R Rahman, ZC Guo, D Atkinson, ... Advances in Neural Information Processing Systems 37, 58245-58283, 2024 | 63 | 2024 |
| The importance of (exponentially more) computing power N Thompson, S Ge, G Filipe Mimeo, 2020 | 50 | 2020 |
| How Fast Do Algorithms Improve? Y Sherry, NC Thompson Proceedings of the IEEE, 2021 | 47 | 2021 |
| Does Winning a Patent Race lead to more follow-on Innovation? NC Thompson, JM Kuhn Journal of Legal Analysis 12, 183-220, 2020 | 47 | 2020 |
| Trial by Internet: A Randomized Field Experiment on Wikipedia’s Influence on Judges’ Legal Reasoning N Thompson, B Flanagan, E Richardson, B McKenzie, X Luo Cambridge Handbook of Experimental Jurisprudence, editor Kevin Tobia …, 2022 | 40* | 2022 |
| Expertise D Autor, N Thompson Journal of the European Economic Association, jvaf023, 2025 | 36 | 2025 |
| The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny? T Besiroglu, SA Bergerson, A Michael, L Heim, X Luo, N Thompson arXiv preprint arXiv:2401.02452, 2024 | 34 | 2024 |
| Why Innovation’s Future Isn’t (Just) Open NC Thompson, D Bonnet, Y Ye MIT Sloan Management Review 61 (Summer 2020), 55-60, 2020 | 31 | 2020 |
Gabriel MansoMIT EECSVerified email at mit.edu
