Swarup Roy

125 total papers · 1.1k total citations
56 papers, 457 citations indexed

About

Swarup Roy is a scholar working on Molecular Biology, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Swarup Roy has authored 56 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 14 papers in Computational Theory and Mathematics and 12 papers in Information Systems. Recurrent topics in Swarup Roy's work include Bioinformatics and Genomic Networks (28 papers), Gene expression and cancer classification (17 papers) and Gene Regulatory Network Analysis (13 papers). Swarup Roy is often cited by papers focused on Bioinformatics and Genomic Networks (28 papers), Gene expression and cancer classification (17 papers) and Gene Regulatory Network Analysis (13 papers). Swarup Roy collaborates with scholars based in India, United States and Italy. Swarup Roy's co-authors include Jugal Kalita, Dhruba K. Bhattacharyya, Jayanta Kumar Das, Pietro Hiram Guzzi, Abdullah Sheneamer, Pierangelo Veltri, Pabitra Pal Choudhury, Giuseppe Tradigo, Sukumar Nandi and Hirak J. Kashyap and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Gene.

In The Last Decade

Swarup Roy

52 papers receiving 445 citations

Author Peers

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

Author						Papers	Cites
Swarup Roy	231	79	70	63	61	56	457
James M. Hogan	183 0.8×	86 1.1×	36 0.5×	4 0.1×	158 2.6×	59	541
David Hong	55 0.2×	39 0.5×	22 0.3×	29 0.5×	71 1.2×	29	457
Turki Turki	231 1.0×	25 0.3×	109 1.6×	16 0.3×	171 2.8×	52	543
Yanbin Wang	353 1.5×	34 0.4×	140 2.0×	8 0.1×	56 0.9×	40	507
Haiwei Zhang	80 0.3×	38 0.5×	54 0.8×	57 0.9×	158 2.6×	32	467
Michael Wybrow	154 0.7×	36 0.5×	36 0.5×	13 0.2×	57 0.9×	37	500
Vinay Kumar Pathak	64 0.3×	29 0.4×	24 0.3×	96 1.5×	53 0.9×	77	520
Malay Bhattacharyya	261 1.1×	29 0.4×	40 0.6×	13 0.2×	83 1.4×	58	462
Kai Wei	127 0.5×	14 0.2×	54 0.8×	28 0.4×	243 4.0×	37	500
Dong Wang	50 0.2×	139 1.8×	9 0.1×	18 0.3×	80 1.3×	43	430

Countries citing papers authored by Swarup Roy

Since Specialization

Citations

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

Fields of papers citing papers by Swarup Roy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swarup Roy

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