Robert E. Weiss

242 papers receiving 8.3k citations

Robert E. Weiss's Hit Papers

Effect of Emergency Department Crowding on Outcomes of Admitted Patients 2012 · 523 citations
5230+8+16Years since publication200400600

Peers

Robert E. Weiss
Comparison fields: 5 of 220
  • Infectious Diseases 1.5k
  • Statistics and Probability 671
  • Emergency Medicine 592
  • Virology 229
  • General Health Professions 1.1k
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Robert E. Weiss relative to Robert G. Newcombe United Kingdom Robert G. Newcombe's profile →
Citations per field
00.5×3.9×
Robert G. Newcombe · 1×
Citations per year

Countries citing papers authored by Robert E. Weiss

Since Specialization
Citations

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

Fields of papers citing papers by Robert E. Weiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert E. Weiss. 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 Robert E. Weiss. The network helps show where Robert E. Weiss may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 253 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bayesian Selection of Continuous-Time Markov Chain Evolutionary Models
Hit paper breakdown →
2001671
2
Effect of Emergency Department Crowding on Outcomes of Admitted Patients
Hit paper breakdown →
2012523
3 1994365
4 1990331
5 2003263
6 2014205
7 2004195
8 2005160
9 2003150
10 2003150
11 2015143
12 2006141
13 2018141
14 2013121
15 2004107
16 2009105
17 2003102
18 1995100
19 1999100
20 199698

About Robert E. Weiss

Robert E. Weiss is a scholar working on Infectious Diseases, Surgery, Statistics and Probability, General Health Professions and Epidemiology, having authored 253 papers that have together received 8.7k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (37 papers), Statistical Methods and Bayesian Inference (19 papers), HIV, Drug Use, Sexual Risk (16 papers), Adolescent Sexual and Reproductive Health (15 papers), Glaucoma and retinal disorders (14 papers), Cardiovascular Syncope and Autonomic Disorders (13 papers), Bayesian Methods and Mixture Models (13 papers) and Statistical Methods and Inference (11 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Statistics and Probability (671 citations), Emergency Medicine (592 citations), Virology (229 citations) and General Health Professions (1.1k citations). Robert E. Weiss has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Marc A. Suchard, Janet S. Sinsheimer, David W. Scott, David A. Ratkowsky, Mary Jane Rotheram‐Borus, Pamina M. Gorbach, Benjamin Sun, Steven M. Asch, Dallas Swendeman and Charlotte G. Neumann. Their work appears in journals such as The Journal of Urology, Annals of Emergency Medicine, Journal of the American Statistical Association, AIDS and Behavior and JAIDS Journal of Acquired Immune Deficiency Syndromes.

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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