Lev Reyzin

1.9k total citations
30 papers, 589 citations indexed

About

Lev Reyzin is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Lev Reyzin has authored 30 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 7 papers in Computer Networks and Communications. Recurrent topics in Lev Reyzin's work include Machine Learning and Algorithms (18 papers), Complexity and Algorithms in Graphs (9 papers) and Machine Learning and Data Classification (8 papers). Lev Reyzin is often cited by papers focused on Machine Learning and Algorithms (18 papers), Complexity and Algorithms in Graphs (9 papers) and Machine Learning and Data Classification (8 papers). Lev Reyzin collaborates with scholars based in United States. Lev Reyzin's co-authors include Robert E. Schapire, Lihong Li, Wei Chu, Vitaly Feldman, Elena Grigorescu, Ying Xiao, Santosh Vempala, Satyen Kale, Nikhil Srivastava and James Aspnes and has published in prestigious journals such as Nature, Journal of the ACM and Machine Learning.

In The Last Decade

Lev Reyzin

28 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lev Reyzin United States	8	379	254	117	91	82	30	589
Tor Lattimore Canada	9	315 0.8×	376 1.5×	178 1.5×	28 0.3×	130 1.6×	32	630
Zohar Karnin United States	13	281 0.7×	123 0.5×	101 0.9×	38 0.4×	21 0.3×	39	478
Branislav Kveton United States	13	428 1.1×	273 1.1×	215 1.8×	64 0.7×	95 1.2×	68	672
Walid Krichene United States	12	297 0.8×	196 0.8×	62 0.5×	84 0.9×	29 0.4×	31	615
Yasin Abbasi-Yadkori United States	9	328 0.9×	400 1.6×	140 1.2×	32 0.4×	103 1.3×	23	549
Souptik Datta United States	7	648 1.7×	54 0.2×	262 2.2×	76 0.8×	55 0.7×	12	856
Debmalya Panigrahi United States	15	140 0.4×	104 0.4×	381 3.3×	36 0.4×	92 1.1×	71	613
Zirui Zhou Canada	11	523 1.4×	34 0.1×	105 0.9×	63 0.7×	73 0.9×	26	775
Alexander Ivrii United States	9	268 0.7×	39 0.2×	49 0.4×	91 1.0×	26 0.3×	21	477
Eugene Fink United States	13	421 1.1×	58 0.2×	156 1.3×	83 0.9×	13 0.2×	66	713

Countries citing papers authored by Lev Reyzin

Since Specialization

Citations

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

Fields of papers citing papers by Lev Reyzin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lev Reyzin

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

All Works

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20 of 20 papers shown

Blum, Avrim, et al.. (2021). Communication-Aware Collaborative Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 35(8). 6786–6793.

Reyzin, Lev, et al.. (2019). Crowdsourced PAC Learning under Classification Noise. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 7. 41–49. 6 indexed citations

Cole, Sam, Shmuel Friedland, & Lev Reyzin. (2017). A simple spectral algorithm for recovering planted partitions. Special Matrices. 5(1). 139–157. 3 indexed citations

Reyzin, Lev, et al.. (2017). Improved algorithms for distributed boosting. 1. 806–813. 7 indexed citations

Hanneke, Steve & Lev Reyzin. (2017). Proceedings of the 28th International Conference on Algorithmic Learning Theory. 4 indexed citations

Reyzin, Lev, et al.. (2016). Recovering Social Networks by Observing Votes. Adaptive Agents and Multi-Agents Systems. 376–384. 2 indexed citations

Reyzin, Lev, et al.. (2016). Recovering Social Networks by Observing Votes. 376–384. 1 indexed citations

Huang, Yi, Brian W. Powers, & Lev Reyzin. (2015). Training-time optimization of a budgeted booster. International Conference on Artificial Intelligence. 3583–3589. 1 indexed citations

Liu, Anqi, Lev Reyzin, & Brian D. Ziebart. (2015). Shift-Pessimistic Active Learning Using Robust Bias-Aware Prediction. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 7 indexed citations

10.

Ben-David, Shalev & Lev Reyzin. (2014). Data stability in clustering: A closer look. Theoretical Computer Science. 558. 51–61. 6 indexed citations

11.

Reyzin, Lev. (2014). On Boosting Sparse Parities. Proceedings of the AAAI Conference on Artificial Intelligence. 28(1). 1 indexed citations

12.

Angluin, Dana, James Aspnes, & Lev Reyzin. (2013). Network construction with subgraph connectivity constraints. Journal of Combinatorial Optimization. 29(2). 418–432. 7 indexed citations

13.

Reyzin, Lev. (2011). Boosting on a Budget: Sampling for Feature-Efficient Prediction. International Conference on Machine Learning. 529–536. 12 indexed citations

14.

Kale, Satyen, Lev Reyzin, & Robert E. Schapire. (2010). Non-Stochastic Bandit Slate Problems. Neural Information Processing Systems. 23. 1054–1062. 32 indexed citations

15.

Angluin, Dana, James Aspnes, & Lev Reyzin. (2010). Optimally learning social networks with activations and suppressions. Theoretical Computer Science. 411(29-30). 2729–2740. 1 indexed citations

16.

Reyzin, Lev. (2010). Boosting on a Feature Budget. 1 indexed citations

17.

Angluin, Dana, James Aspnes, Chen Jiang, David Eisenstat, & Lev Reyzin. (2008). Learning Acyclic Probabilistic Circuits Using Test Paths. Journal of Machine Learning Research. 10(65). 169–180. 1 indexed citations

18.

Angluin, Dana, James Aspnes, Chen Jiang, & Lev Reyzin. (2008). Learning large-alphabet and analog circuits with value injection queries. Machine Learning. 72(1-2). 113–138. 2 indexed citations

19.

Reyzin, Lev & Nikhil Srivastava. (2006). On the longest path algorithm for reconstructing trees from distance matrices. Information Processing Letters. 101(3). 98–100. 8 indexed citations

20.

Reyzin, Lev & Robert E. Schapire. (2006). How boosting the margin can also boost classifier complexity. 753–760. 148 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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