William J. Congdon
- Economics and Econometrics top 2%
- General Decision Sciences top 2%
- General Health Professions top 10%
- Sociology and Political Science top 10%
- Accounting top 5%
- Co-authors
- Sendhil MullainathanMaya ShankarRichard H. ThalerShlomo BenartziJohn BeshearsCass R. SunsteinKatherine L. MilkmanJeffrey R. Kling
- Topics
- Financial Literacy, Pension, Retirement Analysis (7 papers)Healthcare Policy and Management (4 papers)Decision-Making and Behavioral Economics (4 papers)
- Journals
- Psychological ScienceThe Annals of the American Academy of Political and Social ScienceMilbank Quarterly
- Partner nations
- United States
In The Last Decade
William J. Congdon
13 papers receiving 947 citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Economics and Econometrics 519
- General Decision Sciences 184
- General Health Professions 175
- Sociology and Political Science 159
- Accounting 157
Countries citing papers authored by William J. Congdon
This map shows the geographic impact of William J. 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 William J. Congdon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Congdon more than expected).
Fields of papers citing papers by William J. Congdon
This network shows the impact of papers produced by William J. 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 William J. Congdon. The network helps show where William J. Congdon may publish in the future.
Co-authorship network of co-authors of William J. Congdon
This figure shows the co-authorship network connecting the top 25 collaborators of William J. Congdon. A scholar is included among the top collaborators of William J. 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 William J. Congdon. William J. Congdon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 12 | |
| 3 | 4 | |
| 4 | 37 | |
| 5 | Should Governments Invest More in Nudging?breakdown → | 485 |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 102 | |
| 9 | The Long-Term Effects of Moving to Opportunity on Adult Health and Economic Self-Sufficiency | 44 |
| 10 | 42 | |
| 11 | 99 | |
| 12 | Policy and Choice: Public Finance through the Lens of Behavioral Economics | 92 |
| 13 | 58 | |
| 14 | 32 |
About William J. Congdon
William J. Congdon is a scholar working on General Decision Sciences, Accounting and Applied Psychology, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Financial Literacy, Pension, Retirement Analysis (7 papers), Healthcare Policy and Management (4 papers) and Decision-Making and Behavioral Economics (4 papers). The work is most often cited by research in General Decision Sciences (184 citations), Applied Psychology (108 citations) and Economics and Econometrics (519 citations). William J. Congdon has collaborated with scholars based in United States. Frequent co-authors include Sendhil Mullainathan, Maya Shankar, Richard H. Thaler, Shlomo Benartzi, John Beshears, Cass R. Sunstein, Katherine L. Milkman, Jeffrey R. Kling, Katherine Baicker and Joshua Schwartzstein. Their work appears in journals such as Psychological Science, The Annals of the American Academy of Political and Social Science and Milbank Quarterly.
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.