Steven V. Jerome

40 total papers · 2.5k total citations
17 papers, 1.6k citations indexed

About

Steven V. Jerome is a scholar working on Computational Theory and Mathematics, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Steven V. Jerome has authored 17 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 7 papers in Molecular Biology and 5 papers in Organic Chemistry. Recurrent topics in Steven V. Jerome's work include Computational Drug Discovery Methods (7 papers), Machine Learning in Materials Science (4 papers) and Advanced Chemical Physics Studies (3 papers). Steven V. Jerome is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Machine Learning in Materials Science (4 papers) and Advanced Chemical Physics Studies (3 papers). Steven V. Jerome collaborates with scholars based in United States, Belgium and India. Steven V. Jerome's co-authors include Christopher J. Cramer, Aleksandr V. Marenich, Donald G. Truhlar, Richard A. Friesner, Matthew P. Repasky, Robert Abel, Karl Leswing, Kun Yao, Brian K. Shoichet and Yang Ying and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.

In The Last Decade

Steven V. Jerome

17 papers receiving 1.6k citations

Hit Papers

Charge Model 5: An Extens... 2012 2026 2016 2021 2012 2021 2023 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Steven V. Jerome 603 445 433 415 279 17 1.6k
Arteum D. Bochevarov 568 0.9× 543 1.2× 832 1.9× 321 0.8× 319 1.1× 25 2.3k
David Rinaldo 551 0.9× 480 1.1× 657 1.5× 258 0.6× 130 0.5× 12 1.9k
Dale A. Braden 448 0.7× 469 1.1× 707 1.6× 193 0.5× 287 1.0× 28 2.0k
Thomas F. Hughes 506 0.8× 650 1.5× 712 1.6× 298 0.7× 268 1.0× 35 2.4k
Carlos H. Faerman 776 1.3× 296 0.7× 478 1.1× 320 0.8× 192 0.7× 28 1.9k
Patric Schyman 484 0.8× 296 0.7× 428 1.0× 310 0.7× 201 0.7× 34 1.6k
Paul Beroza 1.2k 2.1× 278 0.6× 266 0.6× 361 0.9× 384 1.4× 32 1.7k
A. Srinivas Reddy 594 1.0× 243 0.5× 499 1.2× 389 0.9× 204 0.7× 35 1.6k
Jeremy Kua 547 0.9× 737 1.7× 522 1.2× 204 0.5× 371 1.3× 42 2.2k
Eric S. Manas 794 1.3× 298 0.7× 777 1.8× 349 0.8× 275 1.0× 39 2.3k

Countries citing papers authored by Steven V. Jerome

Since Specialization
Citations

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

Fields of papers citing papers by Steven V. Jerome

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven V. Jerome. 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 Steven V. Jerome. The network helps show where Steven V. Jerome may publish in the future.

Co-authorship network of co-authors of Steven V. Jerome

This figure shows the co-authorship network connecting the top 25 collaborators of Steven V. Jerome. A scholar is included among the top collaborators of Steven V. Jerome 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 Steven V. Jerome. Steven V. Jerome 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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