Dmitry Repchevsky

31 total papers · 524 total citations
3 papers, 142 citations indexed

About

Dmitry Repchevsky is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, Dmitry Repchevsky has authored 3 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Artificial Intelligence and 1 paper in Information Systems and Management. Recurrent topics in Dmitry Repchevsky's work include Biomedical Text Mining and Ontologies (2 papers), Semantic Web and Ontologies (2 papers) and Bioinformatics and Genomic Networks (1 paper). Dmitry Repchevsky is often cited by papers focused on Biomedical Text Mining and Ontologies (2 papers), Semantic Web and Ontologies (2 papers) and Bioinformatics and Genomic Networks (1 paper). Dmitry Repchevsky collaborates with scholars based in Spain. Dmitry Repchevsky's co-authors include Josep Lluís Gelpí, Adam Hospital, Tim Meyer, Alberto Pérez, Marco D’Abramo, Carles Ferrer‐Costa, Manuel Rueda, Jordi Camps, Oliver Carrillo and Osnat Hakimi and has published in prestigious journals such as PLoS ONE, Advanced Functional Materials and Structure.

In The Last Decade

Dmitry Repchevsky

3 papers receiving 142 citations

Author Peers

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

Author						Papers	Cites
Dmitry Repchevsky	113	50	17	16	15	3	142
Raul Sala	154 1.4×	96 1.9×	9 0.5×	6 0.4×	4 0.3×	4	218
Erik Brauner	129 1.1×	10 0.2×	11 0.6×	12 0.8×	17 1.1×	5	213
Adam J. Pratt	139 1.2×	35 0.7×	30 1.8×	4 0.3×	10 0.7×	3	168
Laia Codó	98 0.9×	15 0.3×	6 0.4×	18 1.1×	5 0.3×	6	138
Bernd Roechert	185 1.6×	10 0.2×	24 1.4×	7 0.4×	18 1.2×	3	221
Gabrielle A. Reeves	249 2.2×	67 1.3×	12 0.7×	11 0.7×	7 0.5×	7	262
Anant Kharkar	193 1.7×	40 0.8×	6 0.4×	3 0.2×	17 1.1×	3	261
L. Launer	146 1.3×	162 3.2×	18 1.1×	8 0.5×		3	213
Yasuyo Ikegawa	128 1.1×	59 1.2×	7 0.4×	4 0.3×	3 0.2×	6	152
Carl J. Negro	65 0.6×	24 0.5×	6 0.4×	6 0.4×	4 0.3×	4	131

Countries citing papers authored by Dmitry Repchevsky

Since Specialization

Citations

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

Fields of papers citing papers by Dmitry Repchevsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitry Repchevsky

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