Arip Asadulaev

2.0k total citations
5 papers, 418 citations indexed

About

Arip Asadulaev is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Arip Asadulaev has authored 5 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Artificial Intelligence and 2 papers in Computational Theory and Mathematics. Recurrent topics in Arip Asadulaev's work include Protein Structure and Dynamics (2 papers), Machine Learning in Materials Science (2 papers) and Computational Drug Discovery Methods (2 papers). Arip Asadulaev is often cited by papers focused on Protein Structure and Dynamics (2 papers), Machine Learning in Materials Science (2 papers) and Computational Drug Discovery Methods (2 papers). Arip Asadulaev collaborates with scholars based in Russia, Canada and United Kingdom. Arip Asadulaev's co-authors include Evgeny Putin, Alex Zhavoronkov, Yan A. Ivanenkov, Benjamín Sánchez-Lengeling, Vladimir Aladinskiy, Alán Aspuru‐Guzik, Anastasia V. Aladinskaya, Quentin Vanhaelen, Alex Aliper and Andrey Filchenkov and has published in prestigious journals such as IEEE Access, Journal of Chemical Information and Modeling and Molecular Pharmaceutics.

In The Last Decade

Arip Asadulaev

5 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arip Asadulaev Russia	3	315	252	209	44	30	5	418
Oleksii Prykhodko Sweden	2	388 1.2×	315 1.3×	277 1.3×	35 0.8×	29 1.0×	2	482
Kostas Papadopoulos Sweden	9	364 1.2×	261 1.0×	315 1.5×	63 1.4×	19 0.6×	10	522
Kuzma Khrabrov United States	2	420 1.3×	287 1.1×	328 1.6×	32 0.7×	56 1.9×	4	605
Panagiotis-Christos Kotsias Sweden	3	345 1.1×	271 1.1×	248 1.2×	30 0.7×	15 0.5×	4	420
Jens A. Fuchs Switzerland	6	268 0.9×	192 0.8×	214 1.0×	38 0.9×	13 0.4×	9	368
Simon Johansson Sweden	8	487 1.5×	404 1.6×	330 1.6×	69 1.6×	59 2.0×	19	678
Dávid Lányi Switzerland	5	210 0.7×	217 0.9×	126 0.6×	45 1.0×	83 2.8×	5	370
Benoît Baillif United Kingdom	3	190 0.6×	129 0.5×	168 0.8×	35 0.8×	15 0.5×	4	330
Edvard Lindelöf Sweden	3	221 0.7×	180 0.7×	145 0.7×	17 0.4×	22 0.7×	5	278
Lifan Chen China	10	429 1.4×	183 0.7×	465 2.2×	28 0.6×	32 1.1×	20	663

Countries citing papers authored by Arip Asadulaev

Since Specialization

Citations

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

Fields of papers citing papers by Arip Asadulaev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arip Asadulaev

This figure shows the co-authorship network connecting the top 25 collaborators of Arip Asadulaev. A scholar is included among the top collaborators of Arip Asadulaev 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 Arip Asadulaev. Arip Asadulaev 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.

Asadulaev, Arip, et al.. (2021). SUPPORT FOR COMMUNICATION WITH DEAF AND DUMB PATIENTS VIA FEW-SHOT MACHINE LEARNING. 1 indexed citations

2.

Asadulaev, Arip, et al.. (2020). Exploring and Exploiting Conditioning of Reinforcement Learning Agents. IEEE Access. 8. 211951–211960. 5 indexed citations

3.

Asadulaev, Arip, et al.. (2019). Linear Distillation Learning.. arXiv (Cornell University). 1 indexed citations

4.

Putin, Evgeny, Arip Asadulaev, Yan A. Ivanenkov, et al.. (2018). Reinforced Adversarial Neural Computer for de Novo Molecular Design. Journal of Chemical Information and Modeling. 58(6). 1194–1204. 258 indexed citations

5.

Putin, Evgeny, Arip Asadulaev, Quentin Vanhaelen, et al.. (2018). Adversarial Threshold Neural Computer for Molecular de Novo Design. Molecular Pharmaceutics. 15(10). 4386–4397. 153 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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