Arkady Epshteyn

713 citations
7 papers · 56 indexed · h-index 5
Topics
Machine Learning and Algorithms (2 papers)Reinforcement Learning in Robotics (2 papers)Advanced Control Systems Optimization (1 paper)
Journals
Journal of Artificial Intelligence ResearchNeural Information Processing SystemsSoviet Geography
Partner nations
United StatesIndia

In The Last Decade

Arkady Epshteyn

7 papers receiving 53 citations

Peers

Arkady Epshteyn
Comparison fields: 5 of 34
  • Artificial Intelligence 42
  • Computer Vision and Pattern Recognition 10
  • Molecular Biology 7
  • Modeling and Simulation 7
  • Management Science and Operations Research 6
Replace Gauthier Gidel with:
Gauthier Gidel Canada
Mikal Ziane France
Yodsawalai Chodpathumwan United States
Mirco Speretta United States
Konstantina Palla United Kingdom
Florian Reinfrank Austria
Stéphane Gançarski France
Anton Mityagin United States
Rahul Kidambi United States
Shay Hummel Israel
Arkady Epshteyn relative to Gauthier Gidel Canada Gauthier Gidel's profile →
Citations per field
00.5×
Gauthier Gidel · 1×
Citations per year

Countries citing papers authored by Arkady Epshteyn

Since Specialization
Citations

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

Fields of papers citing papers by Arkady Epshteyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arkady Epshteyn

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 9
2
Interpretable sequence learning for COVID-19 forecasting
9
3 20
4
Combining prior knowledge and data: beyond the bayesian framework
1
5 10
6 6
7 1

About Arkady Epshteyn

Arkady Epshteyn is a scholar working on Software, Health Information Management and Artificial Intelligence, having authored 7 papers that have together received 56 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (2 papers), Reinforcement Learning in Robotics (2 papers) and Advanced Control Systems Optimization (1 paper). The work is most often cited by research in Modeling and Simulation (7 citations), Artificial Intelligence (42 citations) and Software (2 citations). Arkady Epshteyn has collaborated with scholars based in United States and India. Frequent co-authors include Gerald DeJong, Adam P. Vogel, Sercan Ö. Arık, Shashank Singh, Hootan Nakhost, Vikas Menon, Jinsung Yoon, Tomas Pfister, Rajarishi Sinha and Leyou Zhang. Their work appears in journals such as Journal of Artificial Intelligence Research, Neural Information Processing Systems and Soviet Geography.

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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