Soumya Paul

52 total papers · 405 total citations
21 papers, 143 citations indexed

About

Soumya Paul is a scholar working on Artificial Intelligence, Management Science and Operations Research and Molecular Biology. According to data from OpenAlex, Soumya Paul has authored 21 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 4 papers in Molecular Biology. Recurrent topics in Soumya Paul's work include Game Theory and Applications (7 papers), Gene Regulatory Network Analysis (4 papers) and Multi-Agent Systems and Negotiation (4 papers). Soumya Paul is often cited by papers focused on Game Theory and Applications (7 papers), Gene Regulatory Network Analysis (4 papers) and Multi-Agent Systems and Negotiation (4 papers). Soumya Paul collaborates with scholars based in France, Luxembourg and India. Soumya Paul's co-authors include Marcel Böhme, Nicholas Asher, Jun Pang, Andrzej Mizera, Alexis Baudin, R. Ramanujam, Julie Hunter, Philippe Müller, Stergos Afantenos and Markus Guhe and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Transactions on Software Engineering.

In The Last Decade

Soumya Paul

18 papers receiving 132 citations

Author Peers

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

Author						Papers	Cites
Soumya Paul	49	45	31	29	21	21	143
Nicholas Allen	38 0.8×	35 0.8×	75 2.4×	43 1.5×	37 1.8×	17	167
Dai Quoc Nguyen	33 0.7×	166 3.7×	15 0.5×	92 3.2×	46 2.2×	17	242
Christopher S. Mellish	21 0.4×	140 3.1×	9 0.3×	37 1.3×	6 0.3×	20	224
Yu Wang	52 1.1×	113 2.5×	15 0.5×	88 3.0×	30 1.4×	21	220
Suzan Üsküdarlı	21 0.4×	123 2.7×	27 0.9×	32 1.1×	3 0.1×	33	169
Stefan Naujokat	65 1.3×	62 1.4×	23 0.7×	50 1.7×	4 0.2×	20	141
Arun Tejasvi Chaganty	10 0.2×	179 4.0×	8 0.3×	31 1.1×	12 0.6×	16	216
Edgars Celms	35 0.7×	33 0.7×	31 1.0×	47 1.6×	2 0.1×	22	108
Rani Nelken	6 0.1×	201 4.5×	12 0.4×	28 1.0×	14 0.7×	18	234
Wim Vanhoof	37 0.8×	56 1.2×	8 0.3×	23 0.8×	4 0.2×	20	110

Countries citing papers authored by Soumya Paul

Since Specialization

Citations

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

Fields of papers citing papers by Soumya Paul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soumya Paul

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