Pavel Sidorov

42 total papers · 765 total citations
20 papers, 469 citations indexed

About

Pavel Sidorov is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Pavel Sidorov has authored 20 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 11 papers in Materials Chemistry and 8 papers in Molecular Biology. Recurrent topics in Pavel Sidorov's work include Computational Drug Discovery Methods (15 papers), Machine Learning in Materials Science (9 papers) and Malaria Research and Control (3 papers). Pavel Sidorov is often cited by papers focused on Computational Drug Discovery Methods (15 papers), Machine Learning in Materials Science (9 papers) and Malaria Research and Control (3 papers). Pavel Sidorov collaborates with scholars based in France, Russia and Japan. Pavel Sidorov's co-authors include Alexandre Varnek, Pedro J. Ballester, Gilles Marcou, Dragos Horvath, Eddy Pasquier, Stefan Naulaerts, Timur Gimadiev, Timur Madzhidov, Ramil Nugmanov and Elisabeth Davioud–Charvet and has published in prestigious journals such as Angewandte Chemie International Edition, Bioinformatics and Scientific Reports.

In The Last Decade

Pavel Sidorov

18 papers receiving 464 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Pavel Sidorov	305	251	200	52	38	20	469
Jean-Paul Ebejer	181 0.6×	195 0.8×	97 0.5×	52 1.0×	33 0.9×	20	456
Nikolay Kochev	275 0.9×	230 0.9×	185 0.9×	50 1.0×	25 0.7×	27	517
Regina Politi	172 0.6×	294 1.2×	141 0.7×	44 0.8×	24 0.6×	12	495
Riccardo Concu	231 0.8×	276 1.1×	106 0.5×	44 0.8×	47 1.2×	28	516
Oliver Wieder	303 1.0×	188 0.7×	225 1.1×	39 0.8×	21 0.6×	9	448
Daniil Polykovskiy	323 1.1×	269 1.1×	218 1.1×	13 0.3×	17 0.4×	14	548
Catrin Hasselgren	199 0.7×	157 0.6×	73 0.4×	89 1.7×	31 0.8×	27	530
Uta Lessel	192 0.6×	354 1.4×	96 0.5×	59 1.1×	47 1.2×	23	484
Markus Sitzmann	331 1.1×	290 1.2×	87 0.4×	98 1.9×	42 1.1×	12	525
Ang Gao	217 0.7×	171 0.7×	114 0.6×	63 1.2×	6 0.2×	18	505

Countries citing papers authored by Pavel Sidorov

Since Specialization

Citations

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

Fields of papers citing papers by Pavel Sidorov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Sidorov

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

All Works

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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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