Thomas Halverson

31 papers receiving 723 citations

Peers

Thomas Halverson
Comparison fields: 5 of 93
  • Microbiology 185
  • Urology 113
  • Algebra and Number Theory 66
  • Computational Mathematics 8
  • Discrete Mathematics and Combinatorics 41
Replace K. Ishikawa with:
K. Ishikawa Japan
Masahiko Miyamoto Japan
William A. Pearce United States
Alex Kasman United States
Robert Hunt United States
Jeffrey Brock United States
Robert J. Berman Sweden
W. H. Cockcroft United Kingdom
Daniel M. Elton United Kingdom
Jesús Salas Spain
Thomas Halverson relative to K. Ishikawa Japan K. Ishikawa's profile →
Citations per field
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Citations per year

Countries citing papers authored by Thomas Halverson

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Halverson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Halverson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Halverson Line = papers co-authored together Thomas Halverson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200071
2 199467
3 202165
4 202053
5 200052
6 199949
7 202232
8 201530
9 201529
10 202026
11 202225
12 199624
13 199523
14 202223
15 201223
16 202120
17 201420
18 202117
19 202315
20 202313

About Thomas Halverson

Thomas Halverson is a scholar working on Epidemiology, Rheumatology, Urology, Spectroscopy and Molecular Biology, having authored 32 papers that have together received 750 indexed citations. Recurring topics across this work include Urinary Tract Infections Management (14 papers), Pelvic floor disorders treatments (12 papers), Urinary Bladder and Prostate Research (8 papers), Molecular spectroscopy and chirality (5 papers), Antimicrobial Peptides and Activities (4 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Algebraic structures and combinatorial models (3 papers) and Biochemical and Structural Characterization (3 papers). The work is most often cited by research in Microbiology (185 citations), Urology (113 citations), Algebra and Number Theory (66 citations), Computational Mathematics (8 citations) and Discrete Mathematics and Combinatorics (41 citations). Thomas Halverson has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Bill Poirier, Alan J. Wolfe, J. Michael Conlon, Floyd C. Knoop, Yousef J. Basir, Linda Brubaker, Joseph G. Dulka, Arun Ram, Travis K. Price and Elizabeth R. Mueller. Their work appears in journals such as The Journal of Chemical Physics, Journal of Pediatric Urology, Frontiers in Cellular and Infection Microbiology, The Journal of Urology and International Urogynecology Journal.

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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