Greg Stoddard

61 papers receiving 1.4k citations

Peers

Greg Stoddard
Comparison fields: 5 of 146
  • Applied Microbiology and Biotechnology 29
  • Transplantation 29
  • Public Health, Environmental and Occupational Health 224
  • Obstetrics and Gynecology 54
  • Nephrology 47
Replace Abdulqadir J. Nashwan with:
Abdulqadir J. Nashwan Qatar
Catherine L. Smith Australia
David Tovey United Kingdom
Ann Farrell United States
Vinod Ravindran India
Tracy Hampton United States
Michael Ott Canada
Julie Marsh Australia
Sang Hui Chu South Korea
Pamela Royle United Kingdom
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Citations per field
00.5×10×20×29×
Abdulqadir J. Nashwan · 1×
Citations per year

Countries citing papers authored by Greg Stoddard

Since Specialization
Citations

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

Fields of papers citing papers by Greg Stoddard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013181
2 200883
3 201782
4 200577
5 201169
6 201961
7 200759
8 200549
9 201648
10 201645
11 201735
12 201334
13 200634
14 202032
15 201331
16 201830
17 201929
18
A fast bandit algorithm for recommendations to users with heterogeneous tastes
201325
19 201725
20 201525

About Greg Stoddard

Greg Stoddard is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Surgery, Neurology and Sociology and Political Science, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Respiratory viral infections research (3 papers), Heart Failure Treatment and Management (3 papers), Opinion Dynamics and Social Influence (3 papers), Experimental Behavioral Economics Studies (2 papers), Game Theory and Applications (2 papers), Media Influence and Politics (2 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (29 citations), Transplantation (29 citations), Public Health, Environmental and Occupational Health (224 citations), Obstetrics and Gynecology (54 citations) and Nephrology (47 citations). Greg Stoddard has collaborated with scholars based in United States, United Kingdom and Vietnam. Frequent co-authors include Mark A. Munger, David W. Grainger, Akram M. Shaaban, Przemysław Radwański, Cassandra E. Deering‐Rice, Matthew H. Samore, Eric R. Coon, Pushmeet Kohli, Mahyar Salek and Nicole Immorlica. Their work appears in journals such as PEDIATRICS, International Journal of Radiation Oncology*Biology*Physics, Journal of Medical Internet Research, JAMA Network Open and JAMA Pediatrics.

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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