Aurko Roy

3.1k total citations
7 papers, 267 citations indexed

About

Aurko Roy is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Computer Vision and Pattern Recognition. According to data from OpenAlex, Aurko Roy has authored 7 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computational Theory and Mathematics, 2 papers in Numerical Analysis and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Aurko Roy's work include Complexity and Algorithms in Graphs (3 papers), Advanced Optimization Algorithms Research (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Aurko Roy is often cited by papers focused on Complexity and Algorithms in Graphs (3 papers), Advanced Optimization Algorithms Research (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Aurko Roy collaborates with scholars based in United States. Aurko Roy's co-authors include Ian Goodfellow, Colin Raffel, Jacob Buckman, Ofir Nachum, Samy Bengio, Łukasz Kaiser, David Berthelot, Sebastian Pokutta, Ashish Vaswani and Niki Parmar and has published in prestigious journals such as Journal of Machine Learning Research, Mathematical Programming and arXiv (Cornell University).

In The Last Decade

Aurko Roy

7 papers receiving 250 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aurko Roy United States	5	222	85	45	41	36	7	267
Jacob Buckman United States	3	184 0.8×	52 0.6×	42 0.9×	40 1.0×	35 1.0×	3	208
J. Bins Brazil	8	108 0.5×	130 1.5×	26 0.6×	20 0.5×	27 0.8×	14	223
Chun‐Chen Tu United States	4	188 0.8×	51 0.6×	39 0.9×	21 0.5×	27 0.8×	5	205
Xiaojun Jia China	7	237 1.1×	116 1.4×	50 1.1×	30 0.7×	22 0.6×	23	291
Mohammad Samragh United States	9	170 0.8×	56 0.7×	27 0.6×	116 2.8×	14 0.4×	23	264
Sid Ahmed Fezza France	9	128 0.6×	152 1.8×	74 1.6×	31 0.8×	27 0.8×	28	290
Brandon Tran United States	7	158 0.7×	69 0.8×	39 0.9×	11 0.3×	16 0.4×	10	209
Edward Meeds Netherlands	7	141 0.6×	50 0.6×	26 0.6×	11 0.3×	12 0.3×	11	199
Jérémy Jean France	10	208 0.9×	100 1.2×	23 0.5×	43 1.0×	5 0.1×	22	228
Rudy Bunel United Kingdom	5	145 0.7×	52 0.6×	14 0.3×	25 0.6×	5 0.1×	13	175

Countries citing papers authored by Aurko Roy

Since Specialization

Citations

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

Fields of papers citing papers by Aurko Roy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurko Roy

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Buckman, Jacob, Aurko Roy, Colin Raffel, & Ian Goodfellow. (2018). Thermometer Encoding: One Hot Way To Resist Adversarial Examples. International Conference on Learning Representations. 193 indexed citations

2.

Braun, Gábor, Sebastian Pokutta, & Aurko Roy. (2018). Strong reductions for extended formulations. Mathematical Programming. 172(1-2). 591–620. 1 indexed citations

3.

Roy, Aurko, Ashish Vaswani, Niki Parmar, & Arvind Neelakantan. (2018). Towards a better understanding of Vector Quantized Autoencoders. 7 indexed citations

4.

Berthelot, David, Colin Raffel, Aurko Roy, & Ian Goodfellow. (2018). Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer. arXiv (Cornell University). 24 indexed citations

5.

Kaiser, Łukasz, Ofir Nachum, Aurko Roy, & Samy Bengio. (2017). Learning to Remember Rare Events. arXiv (Cornell University). 32 indexed citations

6.

Roy, Aurko & Sebastian Pokutta. (2016). Hierarchical Clustering via Spreading Metrics. Journal of Machine Learning Research. 18(88). 1–2324. 9 indexed citations

7.

Braun, Gábor, et al.. (2016). The matching problem has no small symmetric SDP. Mathematical Programming. 165(2). 643–662. 1 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.

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