Peter Congdon

7.2k total citations · 2 hit papers
201 papers, 5.2k citations indexed

About

Peter Congdon is a scholar working on Health, Economics and Econometrics and General Health Professions. According to data from OpenAlex, Peter Congdon has authored 201 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Health, 69 papers in Economics and Econometrics and 57 papers in General Health Professions. Recurrent topics in Peter Congdon's work include Health disparities and outcomes (89 papers), Spatial and Panel Data Analysis (45 papers) and Global Health Care Issues (35 papers). Peter Congdon is often cited by papers focused on Health disparities and outcomes (89 papers), Spatial and Panel Data Analysis (45 papers) and Global Health Care Issues (35 papers). Peter Congdon collaborates with scholars based in United Kingdom, United States and Australia. Peter Congdon's co-authors include Gregory Camilli, Sarah Curtis, Susanna Shouls, Cathie Elder, Kathryn Hill, Batia Laufer, James Fagg, Humphrey Southall, Stephen Stansfeld and Alison Copeland and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Epidemiology and Biometrics.

In The Last Decade

Peter Congdon

187 papers receiving 4.8k citations

Hit Papers

Application of a Method of Estimating DIF for Polytomous ... 1999 2026 2008 2017 1999 2002 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Congdon United Kingdom 31 1.1k 1.0k 744 670 595 201 5.2k
Jon Rasbash United Kingdom 32 488 0.4× 563 0.6× 580 0.8× 779 1.2× 880 1.5× 52 4.7k
Nathaniel Schenker United States 26 401 0.4× 647 0.6× 612 0.8× 1.4k 2.0× 605 1.0× 65 6.7k
Peter Lynn United Kingdom 28 465 0.4× 583 0.6× 643 0.9× 578 0.9× 1.4k 2.4× 101 4.8k
Greg Ridgeway United States 35 592 0.5× 500 0.5× 540 0.7× 724 1.1× 1.5k 2.6× 104 5.4k
Joseph M. Hilbe United States 27 291 0.3× 729 0.7× 849 1.1× 756 1.1× 1.1k 1.9× 95 8.6k
Anders Skrondal Norway 48 620 0.6× 970 1.0× 1.1k 1.5× 1.6k 2.4× 1.3k 2.1× 100 9.6k
Brian Francis United Kingdom 44 512 0.5× 592 0.6× 438 0.6× 1.6k 2.4× 1.5k 2.5× 233 10.5k
Thomas Lumley New Zealand 39 357 0.3× 874 0.9× 682 0.9× 1.2k 1.7× 424 0.7× 163 8.9k
David Spiegelhalter United Kingdom 33 494 0.5× 510 0.5× 843 1.1× 791 1.2× 1.3k 2.2× 77 7.5k
Virginia A. Clark United States 48 543 0.5× 1.2k 1.2× 356 0.5× 513 0.8× 761 1.3× 133 8.4k

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-authorship network of co-authors of Peter Congdon

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Congdon. A scholar is included among the top collaborators of Peter Congdon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Congdon. Peter Congdon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ku, Benson S., et al.. (2024). The association between county-level mental health provider shortage areas and suicide rates in the United States during the COVID-19 pandemic. General Hospital Psychiatry. 88. 48–50. 1 indexed citations
2.
Goicoa, T., et al.. (2024). A fast approach for analyzing spatio-temporal patterns in ischemic heart disease mortality across US counties (1999–2021). Spatial and Spatio-temporal Epidemiology. 52. 100700–100700.
3.
Congdon, Peter. (2021). A Model for Spatially Disaggregated Trends and Forecasts of Diabetes Prevalence. Journal of Data Science. 10(4). 579–595.
5.
Congdon, Peter. (2020). A diabetes risk index for small areas in England. Health & Place. 63. 102340–102340. 4 indexed citations
6.
Curtis, Sarah, et al.. (2019). Individual and local area factors associated with self-reported wellbeing, perceived social cohesion and sense of attachment to one’s community : analysis of the Understanding Society Survey.. Durham Research Online (Durham University). 3 indexed citations
7.
Andreon, S. & Peter Congdon. (2014). The insignificant evolution of the richness-mass relation of galaxy clusters. Springer Link (Chiba Institute of Technology). 23 indexed citations
8.
Congdon, Peter. (2014). Applied Bayesian Modelling. Wiley series in probability and statistics. 102 indexed citations
9.
Congdon, Peter. (2014). Modelling changes in small area disability free life expectancy: trends in London wards between 2001 and 2011. Statistics in Medicine. 33(29). 5138–5150. 5 indexed citations
10.
Congdon, Peter. (2013). A Model for Spatially Varying Crime Rates in English Districts: The Effects of Social Capital, Fragmentation, Deprivation and Urbanicity. Revista Catalana de Dret Públic. 2. 138–152. 4 indexed citations
11.
Congdon, Peter & Christopher Lloyd. (2011). A spatial random-effects model for interzone flows: commuting in Northern Ireland. Journal of Applied Statistics. 39(1). 199–213. 1 indexed citations
12.
Congdon, Peter. (2010). Assessing Differential Area Mortality Trends via Bayesian Random Effects. Communication in Statistics- Theory and Methods. 39(12). 2205–2230. 1 indexed citations
13.
Congdon, Peter. (2010). The Spatial Pattern of Suicide in the US in Relation to Deprivation, Fragmentation and Rurality. Urban Studies. 48(10). 2101–2122. 46 indexed citations
14.
Congdon, Peter. (2006). Bayesian Statistical Modelling. Wiley series in probability and statistics. 380 indexed citations
15.
Congdon, Peter. (2006). Modelling multiple hospital outcomes: the impact of small area and primary care practice variation.. International Journal of Health Geographics. 5(1). 50–50. 10 indexed citations
16.
Elder, Catherine, Tim McNamara, & Peter Congdon. (2003). Rasch techniques for detecting bias in performance assessments: an example comparing the performance of native and non-native speakers on a test of academic English.. PubMed. 4(2). 181–97. 27 indexed citations
17.
Elder, Catherine, Tim McNamara, & Peter Congdon. (2003). Understanding Rasch Measurement: Rasch Techniques for Detecting Bias in Performance Assessments: An Example Comparing the Performance of Native and Non-native Speakers on a Test of Academic English.. 4(2). 7 indexed citations
18.
Congdon, Peter. (2001). Predicting adverse infant health outcomes using routine screening variables: Modelling the impact of interdependent risk factors. Journal of Applied Statistics. 28(2). 183–197. 2 indexed citations
19.
Congdon, Peter, et al.. (1989). Growth and change in a core region : the case of South East England. 10 indexed citations
20.
Congdon, Peter, et al.. (1983). Mineral content of the forearms of babies born to Asian and white mothers.. BMJ. 286(6373). 1233–1235. 52 indexed citations

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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