Todd Williamson

1.4k citations
59 papers · 1.0k indexed · h-index 17

Todd Williamson

55 papers receiving 952 citations

Peers

Todd Williamson
Comparison fields: 5 of 123
  • Urology 210
  • Rheumatology 241
  • Numerical Analysis 77
  • Geometry and Topology 102
  • Family Practice 20
Replace Maurizio Sessa with:
Maurizio Sessa Denmark
Kent H. Summers United States
Rebekka Sterchi Switzerland
Kristy Iglay United States
Martin Carlsson United States
Takashi Owada Japan
Serena Pecchioli Italy
David M Coulter New Zealand
Christopher S. Coffey United States
Jian Ying United States
Todd Williamson relative to Maurizio Sessa Denmark Maurizio Sessa's profile →
Citations per field
00.5×9.6×
Maurizio Sessa · 1×
Citations per year

Countries citing papers authored by Todd Williamson

Since Specialization
Citations

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

Fields of papers citing papers by Todd Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Todd Williamson, 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 Todd Williamson Line = papers co-authored together Todd Williamson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20240
5 20231
6 20237
7 20227
8 201124
9 20102
10 201025
11 200584
12 200545
13 200366
14 200221
15 20016
16 19933
17 198926
18 198815
19 19787
20 1973111

About Todd Williamson

Todd Williamson is a scholar working on Urology, Gastroenterology, Numerical Analysis, Rheumatology and Nephrology, having authored 59 papers that have together received 1.0k indexed citations. Recurring topics across this work include Urinary Bladder and Prostate Research (8 papers), Pelvic floor disorders treatments (7 papers), Optimization and Variational Analysis (5 papers), Chronic Kidney Disease and Diabetes (5 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Helicobacter pylori-related gastroenterology studies (5 papers), Urinary Tract Infections Management (5 papers) and Acne and Rosacea Treatments and Effects (5 papers). The work is most often cited by research in Urology (210 citations), Rheumatology (241 citations), Numerical Analysis (77 citations), Geometry and Topology (102 citations) and Family Practice (20 citations). Todd Williamson has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include W. V. Petryshyn, Howard G. Birnbaum, Theodore Darkow, Enid M. Hunkeler, Scott Bull, Clayton R. Rowland, Stephen W. Hurt, Vijay N. Joish, Tracy Waldman and Jasmina Ivanova. Their work appears in journals such as Journal of Managed Care & Specialty Pharmacy, Value in Health, Journal of Diabetes and its Complications, Journal of Occupational and Environmental Medicine and Journal of Mathematical Analysis and Applications.

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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