Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
ConViT: improving vision transformers with soft convolutional inductive biases*
2022478 citationsStéphane d’Ascoli, Hugo Touvron et al.Journal of Statistical Mechanics Theory and Experimentprofile →
Human-level performance in 3D multiplayer games with population-based reinforcement learning
2019349 citationsMax Jaderberg, Wojciech Marian Czarnecki et al.Scienceprofile →
Citations per year, relative to Ari S. Morcos Ari S. Morcos (= 1×)
peers
Francesco Orabona
Countries citing papers authored by Ari S. Morcos
Since
Specialization
Citations
This map shows the geographic impact of Ari S. Morcos's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ari S. Morcos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ari S. Morcos more than expected).
This network shows the impact of papers produced by Ari S. Morcos. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ari S. Morcos. The network helps show where Ari S. Morcos may publish in the future.
Co-authorship network of co-authors of Ari S. Morcos
This figure shows the co-authorship network connecting the top 25 collaborators of Ari S. Morcos.
A scholar is included among the top collaborators of Ari S. Morcos based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Ari S. Morcos. Ari S. Morcos is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
d’Ascoli, Stéphane, Hugo Touvron, Matthew L. Leavitt, et al.. (2022). ConViT: improving vision transformers with soft convolutional inductive biases*. Journal of Statistical Mechanics Theory and Experiment. 2022(11). 114005–114005.478 indexed citations breakdown →
5.
Frankle, Jonathan, David J. Schwab, & Ari S. Morcos. (2021). Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs. arXiv (Cornell University).2 indexed citations
Shen, Sheng, Alexei Baevski, Ari S. Morcos, et al.. (2021). Reservoir Transformers. 4294–4309.7 indexed citations
8.
Morcos, Ari S., et al.. (2020). The Generalization-Stability Tradeoff In Neural Network Pruning. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 33. 20852–20864.2 indexed citations
9.
Shen, Sheng, Alexei Baevski, Ari S. Morcos, et al.. (2020). Reservoir Transformer. arXiv (Cornell University).3 indexed citations
10.
Yu, Haonan, Sergey Edunov, Yuandong Tian, & Ari S. Morcos. (2020). Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP. arXiv (Cornell University).12 indexed citations
Morcos, Ari S., Haonan Yu, M. Paganini, & Yuandong Tian. (2019). One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers. Neural Information Processing Systems. 32. 4932–4942.17 indexed citations
13.
Jaderberg, Max, Wojciech Marian Czarnecki, Iain Dunning, et al.. (2019). Human-level performance in 3D multiplayer games with population-based reinforcement learning. Science. 364(6443). 859–865.349 indexed citations breakdown →
14.
Wijmans, Erik, Abhishek Kadian, Ari S. Morcos, et al.. (2019). Decentralized Distributed PPO: Solving PointGoal Navigation. arXiv (Cornell University).8 indexed citations
15.
Hill, Felix, Adam Santoro, David G. T. Barrett, Ari S. Morcos, & Timothy Lillicrap. (2019). Learning to Make Analogies by Contrasting Abstract Relational Structure. International Conference on Learning Representations.13 indexed citations
16.
Morcos, Ari S., David G. T. Barrett, Neil C. Rabinowitz, & Matthew Botvinick. (2018). On the importance of single directions for generalization. arXiv (Cornell University).15 indexed citations
17.
Ruderman, Avraham, Neil C. Rabinowitz, Ari S. Morcos, & Daniel Zoran. (2018). Learned Deformation Stability in Convolutional Neural Networks.. arXiv (Cornell University).6 indexed citations
18.
Barrett, David G. T., Felix Hill, Adam Santoro, Ari S. Morcos, & Timothy Lillicrap. (2018). Measuring abstract reasoning in neural networks. arXiv (Cornell University). 511–520.55 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.