Oron Anschel

519 total citations
5 papers, 207 citations indexed

About

Oron Anschel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Oron Anschel has authored 5 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Computational Theory and Mathematics. Recurrent topics in Oron Anschel's work include Evolutionary Algorithms and Applications (2 papers), Reinforcement Learning in Robotics (2 papers) and VLSI and FPGA Design Techniques (1 paper). Oron Anschel is often cited by papers focused on Evolutionary Algorithms and Applications (2 papers), Reinforcement Learning in Robotics (2 papers) and VLSI and FPGA Design Techniques (1 paper). Oron Anschel collaborates with scholars based in United States and Israel. Oron Anschel's co-authors include Nir Baram, Nahum Shimkin, Roee Litman, R. Manmatha, Ron Litman, Shahar Tsiper, Shie Mannor, Manoj Aggarwal, Gérard Medioni and Igor Kviatkovsky and has published in prestigious journals such as arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

Oron Anschel

4 papers receiving 198 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oron Anschel United States	4	113	100	29	18	18	5	207
Junhyuk Oh United States	8	173 1.5×	105 1.1×	37 1.3×	17 0.9×	4 0.2×	16	251
Xitong Gao China	8	104 0.9×	92 0.9×	13 0.4×	12 0.7×	9 0.5×	20	208
Kimin Lee South Korea	10	115 1.0×	60 0.6×	19 0.7×	6 0.3×	8 0.4×	31	211
Ürün Doǧan United States	8	120 1.1×	68 0.7×	29 1.0×	6 0.3×	5 0.3×	14	190
N. Wakami Japan	6	95 0.8×	42 0.4×	36 1.2×	14 0.8×	28 1.6×	10	183
Inas Jawad Kadhim Iraq	6	43 0.4×	367 3.7×	14 0.5×	7 0.4×	19 1.1×	15	422
Liu Yu China	6	117 1.0×	163 1.6×	6 0.2×	30 1.7×	7 0.4×	17	247
Jacob Menick United Kingdom	4	120 1.1×	61 0.6×	11 0.4×	13 0.7×	2 0.1×	6	173
Zhiping Xiao China	4	98 0.9×	38 0.4×	14 0.5×	13 0.7×	5 0.3×	12	188

Countries citing papers authored by Oron Anschel

Since Specialization

Citations

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

Fields of papers citing papers by Oron Anschel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oron Anschel

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

All Works

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5 of 5 papers shown

1.

Anschel, Oron, et al.. (2025). Group-Aware Reinforcement Learning for Output Diversity in Large Language Models. 32382–32403.

2.

Litman, Ron, et al.. (2020). SCATTER: Selective Context Attentional Scene Text Recognizer. 11959–11969. 87 indexed citations

3.

Baram, Nir, et al.. (2017). End-to-End Differentiable Adversarial Imitation Learning. International Conference on Machine Learning. 390–399. 30 indexed citations

4.

Anschel, Oron, Nir Baram, & Nahum Shimkin. (2016). Deep Reinforcement Learning with Averaged Target DQN.. arXiv (Cornell University). 8 indexed citations

5.

Anschel, Oron, Nir Baram, & Nahum Shimkin. (2016). Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning. arXiv (Cornell University). 176–185. 82 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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