Coady Wing

5.0k citations
66 papers · 2.3k indexed · 1 hit paper · h-index 21

Coady Wing

64 papers receiving 2.2k citations

Hit Papers

Designing Difference in Difference Studies: Best Practice...9732018202620202023250500750

Peers

Coady Wing
Comparison fields: 5 of 157
  • Modeling and Simulation 212
  • Health 255
  • Economics and Econometrics 706
  • General Health Professions 524
  • Transportation 109
Replace Jacob Bor with:
Jacob Bor United States
Emily Lancsar Australia
Stuart Gilmour Japan
Samuel J. Clark United States
Kosali Simon United States
Neeraj Sood United States
Ariel Linden United States
José A. Pagán United States
Pascal Geldsetzer United States
Sebastián Vollmer Germany
Coady Wing relative to Jacob Bor United States Jacob Bor's profile →
Citations per field
00.5×1.5×
Jacob Bor · 1×
Citations per year

Countries citing papers authored by Coady Wing

Since Specialization
Citations

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

Fields of papers citing papers by Coady Wing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20235
4 20231
5 20231
6 20221
7 20214
8 2020219
9
Mandated and Voluntary Social Distancing During The COVID-19 Epidemic: A Review
20202
10
Impacts of State Reopening Policy on Human Mobility
20205
11 20207
12 20196
13 20194
14 20186
15 20164
16 201616
17 201511
18
Physician Practice Patterns
20143
19 201444
20 201312

About Coady Wing

Coady Wing is a scholar working on Modeling and Simulation, Statistics and Probability, Transportation, Economics and Econometrics and Pharmacy, having authored 66 papers that have together received 2.3k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (11 papers), Advanced Causal Inference Techniques (10 papers), Healthcare Policy and Management (9 papers), Obesity, Physical Activity, Diet (8 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers), COVID-19 Pandemic Impacts (7 papers), Urban Transport and Accessibility (6 papers) and Poverty, Education, and Child Welfare (5 papers). The work is most often cited by research in Modeling and Simulation (212 citations), Health (255 citations), Economics and Econometrics (706 citations), General Health Professions (524 citations) and Transportation (109 citations). Coady Wing has collaborated with scholars based in United States, South Africa and Poland. Frequent co-authors include Kosali Simon, Ricardo A. Bello-Gómez, Ana I. Bento, Felipe Lozano‐Rojas, Sumedha Gupta, Thủy Nguyễn, Allison Marier, Yong‐Yeol Ahn, Stephanie DeFlorio-Barker and Samuel Dorevitch. Their work appears in journals such as Health Economics, Health Affairs, Intellectual and developmental disabilities, American Journal of Health Economics and Journal of Policy Analysis and Management.

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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2026