Andrew Rusinko

19 total papers · 733 total citations
11 papers, 499 citations indexed

About

Andrew Rusinko is a scholar working on Computational Theory and Mathematics, Spectroscopy and Molecular Biology. According to data from OpenAlex, Andrew Rusinko has authored 11 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 6 papers in Spectroscopy and 5 papers in Molecular Biology. Recurrent topics in Andrew Rusinko's work include Computational Drug Discovery Methods (6 papers), Analytical Chemistry and Chromatography (5 papers) and History and advancements in chemistry (3 papers). Andrew Rusinko is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Analytical Chemistry and Chromatography (5 papers) and History and advancements in chemistry (3 papers). Andrew Rusinko collaborates with scholars based in United States and Germany. Andrew Rusinko's co-authors include S. Stanley Young, Mark W. Farmen, Paul L. Brown, Christophe G Lambert, R. Venkataraghavan, Robert P. Sheridan, Ramaswamy Nilakantan, Douglas M. Hawkins, William Fisanick and Kevin P. Cross and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Chemical Information and Modeling and Journal of Chemical Information and Computer Sciences.

In The Last Decade

Andrew Rusinko

11 papers receiving 445 citations

Author Peers

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

Author Last Decade Papers Cites
Andrew Rusinko 412 261 165 61 59 11 499
Alanas Petrauskas 241 0.6× 211 0.8× 123 0.7× 97 1.6× 36 0.6× 13 571
Gert Strandlund 282 0.7× 236 0.9× 186 1.1× 95 1.6× 43 0.7× 10 606
Markus C. Hemmer 272 0.7× 184 0.7× 123 0.7× 111 1.8× 67 1.1× 11 484
Pranas Japertas 288 0.7× 218 0.8× 128 0.8× 79 1.3× 24 0.4× 18 588
Trevor Heritage 336 0.8× 196 0.8× 89 0.5× 134 2.2× 68 1.2× 18 469
Markus Sitzmann 331 0.8× 290 1.1× 64 0.4× 98 1.6× 87 1.5× 12 525
Anil Kumar Pandey 396 1.0× 217 0.8× 72 0.4× 74 1.2× 148 2.5× 19 591
Wolf‐Dietrich Ihlenfeldt 325 0.8× 301 1.2× 85 0.5× 142 2.3× 111 1.9× 11 574
Nina Nikolova 329 0.8× 182 0.7× 108 0.7× 85 1.4× 79 1.3× 17 517
Arvid Berg 306 0.7× 287 1.1× 108 0.7× 32 0.5× 91 1.5× 7 496

Countries citing papers authored by Andrew Rusinko

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Rusinko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Rusinko

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