Rohan Anil

6.1k total citations · 1 hit paper
5 papers, 2.1k citations indexed

About

Rohan Anil is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Numerical Analysis. According to data from OpenAlex, Rohan Anil has authored 5 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Numerical Analysis. Recurrent topics in Rohan Anil's work include Advanced Neural Network Applications (3 papers), Multimodal Machine Learning Applications (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Rohan Anil is often cited by papers focused on Advanced Neural Network Applications (3 papers), Multimodal Machine Learning Applications (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Rohan Anil collaborates with scholars based in United States and Germany. Rohan Anil's co-authors include Greg S. Corrado, Hemal Shah, Lichan Hong, Tushar Chandra, Levent Koç, Heng-Tze Cheng, Xiaobing Liu, Glen Anderson, Wei Koong Chai and Jeremiah Harmsen and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Rohan Anil

5 papers receiving 2.0k citations

Hit Papers

Wide & Deep Learning for Recommender Systems 2016 2026 2019 2022 2016 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rohan Anil United States 3 1.5k 1.2k 680 281 273 5 2.1k
Vihan Jain United States 9 1.5k 1.0× 1.2k 1.1× 741 1.1× 336 1.2× 280 1.0× 12 2.2k
Hemal Shah United States 5 1.4k 1.0× 1.1k 0.9× 606 0.9× 281 1.0× 273 1.0× 7 2.1k
Heng-Tze Cheng United States 11 1.5k 1.0× 1.3k 1.1× 814 1.2× 326 1.2× 333 1.2× 19 2.4k
Jeremiah Harmsen United States 7 1.5k 1.0× 1.1k 1.0× 959 1.4× 283 1.0× 278 1.0× 7 2.4k
Weike Pan China 25 1.7k 1.2× 1.5k 1.3× 524 0.8× 492 1.8× 300 1.1× 108 2.5k
Levent Koç Türkiye 5 1.5k 1.0× 1.3k 1.1× 611 0.9× 287 1.0× 473 1.7× 6 2.3k
Shoujin Wang China 22 1.1k 0.8× 1.2k 1.0× 404 0.6× 270 1.0× 203 0.7× 103 1.9k
Ruiming Tang China 26 1.6k 1.1× 1.4k 1.2× 548 0.8× 483 1.7× 205 0.8× 150 2.2k
Chen Gao China 25 1.6k 1.1× 1.5k 1.3× 463 0.7× 359 1.3× 215 0.8× 95 2.5k
Peng Jiang China 18 1.5k 1.1× 1.2k 1.1× 476 0.7× 472 1.7× 135 0.5× 58 2.0k

Countries citing papers authored by Rohan Anil

Since Specialization
Citations

This map shows the geographic impact of Rohan Anil'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 Rohan Anil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rohan Anil more than expected).

Fields of papers citing papers by Rohan Anil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rohan Anil. 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 Rohan Anil. The network helps show where Rohan Anil may publish in the future.

Co-authorship network of co-authors of Rohan Anil

This figure shows the co-authorship network connecting the top 25 collaborators of Rohan Anil. A scholar is included among the top collaborators of Rohan Anil 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 Rohan Anil. Rohan Anil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Beyer, Lucas, et al.. (2022). Knowledge distillation: A good teacher is patient and consistent. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10915–10924. 123 indexed citations
2.
Agarwal, Naman, Rohan Anil, Elad Hazan, Tomer Koren, & Cyril Zhang. (2019). Revisiting the Generalization of Adaptive Gradient Methods. 2 indexed citations
3.
Anil, Rohan, Vineet Gupta, Tomer Koren, & Yoram Singer. (2019). Memory-Efficient Adaptive Optimization for Large-Scale Learning.. 3 indexed citations
4.
Anil, Rohan, Vineet Gupta, Tomer Koren, & Yoram Singer. (2019). Memory-Efficient Adaptive Optimization. arXiv (Cornell University). 32. 9746–9755. 2 indexed citations
5.
Cheng, Heng-Tze, Levent Koç, Jeremiah Harmsen, et al.. (2016). Wide & Deep Learning for Recommender Systems. 7–10. 1997 indexed citations breakdown →

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.

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