Harshil Shah

50 total papers · 795 total citations
23 papers, 453 citations indexed

About

Harshil Shah is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Harshil Shah has authored 23 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Harshil Shah's work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Mass Spectrometry Techniques and Applications (2 papers). Harshil Shah is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Mass Spectrometry Techniques and Applications (2 papers). Harshil Shah collaborates with scholars based in United States, India and United Kingdom. Harshil Shah's co-authors include John R. Yates, Claire Delahunty, Jolene K. Diedrich, Johannes A. Hewel, John D. Venable, Yu Gao, Lujian Liao, Xiaolu Han, Tao Xu and Bryan R. Fonslow and has published in prestigious journals such as Bioinformatics, IEEE Computer Graphics and Applications and Journal of Proteomics.

In The Last Decade

Harshil Shah

18 papers receiving 452 citations

Author Peers

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

Author Last Decade Papers Cites
Harshil Shah 294 65 60 33 28 23 453
Egor Vorontsov 412 1.4× 73 1.1× 100 1.7× 17 0.5× 32 1.1× 33 547
Alexander Schmidt 408 1.4× 40 0.6× 63 1.1× 15 0.5× 15 0.5× 21 502
Ranen Aviner 373 1.3× 37 0.6× 71 1.2× 36 1.1× 20 0.7× 13 472
Jennifer R. Hryhorenko 307 1.0× 96 1.5× 82 1.4× 20 0.6× 42 1.5× 19 406
Girish S. Ratnaparkhi 412 1.4× 37 0.6× 80 1.3× 22 0.7× 24 0.9× 40 542
Artur Piróg 315 1.1× 65 1.0× 47 0.8× 58 1.8× 20 0.7× 10 436
Richard H. Carson 285 1.0× 102 1.6× 96 1.6× 17 0.5× 35 1.3× 13 404
Dmitri Tolkatchev 292 1.0× 28 0.4× 60 1.0× 24 0.7× 62 2.2× 27 477
Janet N.Y. Chan 416 1.4× 18 0.3× 71 1.2× 22 0.7× 21 0.8× 13 485
Yasutsugu Nakashima 366 1.2× 20 0.3× 76 1.3× 24 0.7× 31 1.1× 19 461

Countries citing papers authored by Harshil Shah

Since Specialization
Citations

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

Fields of papers citing papers by Harshil Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harshil Shah

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