Peter Congdon

189 papers receiving 4.8k citations

Peter Congdon's Hit Papers

Bayesian Statistical Modelling 2002 · 517 citations
5170+9+18Years since publication100200300400500

Peers

Peter Congdon
Comparison fields: 5 of 200
  • Health 770
  • Statistics and Probability 657
  • Transportation 300
  • General Health Professions 682
  • Management Science and Operations Research 355
Replace Annette J. Dobson with:
Annette J. Dobson Australia
Joseph M. Hilbe United States
Anders Skrondal Norway
Karin Groothuis‐Oudshoorn Netherlands
Jon Rasbash United Kingdom
Greg Ridgeway United States
Lance A. Waller United States
Peter Lynn United Kingdom
Scott Menard United States
John Mullahy United States
Peter Congdon relative to Annette J. Dobson Australia Annette J. Dobson's profile →
Citations per field
00.5×1.5×2.0×
Annette J. Dobson · 1×
Citations per year

Countries citing papers authored by Peter Congdon

Since Specialization
Citations

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

Fields of papers citing papers by Peter Congdon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 202 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Application of a Method of Estimating DIF for Polytomous Test Items
Hit paper breakdown →
1999565
2
Bayesian Statistical Modelling
Hit paper breakdown →
2002517
3 2003455
4 2006384
5 2004185
6 1996153
7 1996131
8 2010122
9 2005106
10 2014103
11 200382
12 200482
13 200680
14 201965
15 201257
16 199355
17 200455
18 198352
19 198848
20 201047

About Peter Congdon

Peter Congdon is a scholar working on Health, Economics and Econometrics, General Health Professions, Demography and Sociology and Political Science, having authored 202 papers that have together received 5.2k indexed citations. Recurring topics across this work include Health disparities and outcomes (82 papers), Spatial and Panel Data Analysis (45 papers), Urban, Neighborhood, and Segregation Studies (34 papers), Global Health Care Issues (31 papers), Insurance, Mortality, Demography, Risk Management (29 papers), demographic modeling and climate adaptation (27 papers), Statistical Methods and Bayesian Inference (22 papers) and Data-Driven Disease Surveillance (18 papers). The work is most often cited by research in Health (770 citations), Statistics and Probability (657 citations), Transportation (300 citations), General Health Professions (682 citations) and Management Science and Operations Research (355 citations). Peter Congdon has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Gregory Camilli, Sarah Curtis, Susanna Shouls, Batia Laufer, Kathryn Hill, Cathie Elder, James Fagg, Humphrey Southall, Stephen Stansfeld and Alison Copeland. Their work appears in journals such as Health & Place, International Journal of Environmental Research and Public Health, Urban Studies, Computational Statistics & Data Analysis and Journal of Geographical Systems.

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.

Explore authors with similar magnitude of impact