Dan Belov

1.3k total citations
3 papers, 335 citations indexed

About

Dan Belov is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Dan Belov has authored 3 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Artificial Intelligence and 1 paper in Computational Theory and Mathematics. Recurrent topics in Dan Belov's work include Zebrafish Biomedical Research Applications (1 paper), Computational Drug Discovery Methods (1 paper) and Reinforcement Learning in Robotics (1 paper). Dan Belov is often cited by papers focused on Zebrafish Biomedical Research Applications (1 paper), Computational Drug Discovery Methods (1 paper) and Reinforcement Learning in Robotics (1 paper). Dan Belov collaborates with scholars based in United States. Dan Belov's co-authors include Morgan Lawrenz, Vijay S. Pande, Gregory R. Bowman, Diwakar Shukla, Russ B. Altman, David E. Konerding, Kai Kohlhoff, Siqi Liu, Seb Noury and Gordon Plotkin and has published in prestigious journals such as Nature Chemistry and arXiv (Cornell University).

In The Last Decade

Dan Belov

3 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Belov United States	3	305	82	69	62	44	3	335
Nathaniel Stanley Spain	8	264 0.9×	93 1.1×	34 0.5×	26 0.4×	51 1.2×	8	320
Vincent T. Metzger United States	7	308 1.0×	79 1.0×	36 0.5×	51 0.8×	21 0.5×	9	379
Balaji Selvam United States	14	331 1.1×	95 1.2×	35 0.5×	43 0.7×	27 0.6×	41	460
Sonya M. Hanson United States	14	337 1.1×	70 0.9×	23 0.3×	63 1.0×	57 1.3×	32	564
Basak Isin United States	7	344 1.1×	117 1.4×	35 0.5×	53 0.9×	64 1.5×	7	417
Germano Heinzelmann Brazil	12	345 1.1×	115 1.4×	92 1.3×	89 1.4×	74 1.7×	25	477
Mauricio Esguerra Sweden	9	487 1.6×	164 2.0×	58 0.8×	102 1.6×	41 0.9×	12	563
Ji Young Lee United States	11	375 1.2×	113 1.4×	37 0.5×	86 1.4×	43 1.0×	22	499
Stefano Raniolo Switzerland	9	358 1.2×	31 0.4×	31 0.4×	105 1.7×	73 1.7×	14	439
Maxime Louet France	12	340 1.1×	108 1.3×	40 0.6×	50 0.8×	19 0.4×	25	465

Countries citing papers authored by Dan Belov

Since Specialization

Citations

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

Fields of papers citing papers by Dan Belov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Belov

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

All Works

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3 of 3 papers shown

1.

Song, Hao, Abbas Abdolmaleki, Jost Tobias Springenberg, et al.. (2020). V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control. arXiv (Cornell University). 3 indexed citations

2.

Vytiniotis, Dimitrios, et al.. (2019). The Differentiable Curry. 2 indexed citations

3.

Kohlhoff, Kai, Diwakar Shukla, Morgan Lawrenz, et al.. (2013). Cloud-based simulations on Google Exacycle reveal ligand modulation of GPCR activation pathways. Nature Chemistry. 6(1). 15–21. 330 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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