John Mullahy

7.9k citations
77 papers · 5.2k indexed · 3 hit papers · h-index 28

Impact in

Papers in

John Mullahy

74 papers receiving 4.8k citations

Hit Papers

Much ado about two: reconsidering retransformation and the two-part model in health econometrics 1998 · 529 citations
52919862026199920124008001.2k

Peers

John Mullahy
Comparison fields: 5 of 187
  • Statistics and Probability 659
  • Economics and Econometrics 2.2k
  • General Health Professions 1.4k
  • Health 362
  • General Decision Sciences 58
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Citations per field
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Citations per year

Countries citing papers authored by John Mullahy

Since Specialization
Citations

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

Fields of papers citing papers by John Mullahy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202331
2 20230
3 20186
4 201480
5 201421
6 201413
7 201441
8 201321
9 201135
10
Multivariate Fractional Regression Estimation of Econometric Share Models
20102
11 200962
12 2006163
13 20036
14 200268
15
Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice: Comment
20012
16
Much ado about two: reconsidering retransformation and the two-part model in health econometrics
Hit paper breakdown →
1998529
17
Instrumental-Variable Estimation of Count Data Models: Applications to Models of Cigarette Smoking Behavior
19986
18 199811
19 1996166
20
Gender differences in labor market effects of alcoholism
199176

About John Mullahy

John Mullahy is a scholar working on Statistics and Probability, Economics and Econometrics, General Health Professions, Health and Gender Studies, having authored 77 papers that have together received 5.2k indexed citations. Recurring topics across this work include Healthcare Policy and Management (23 papers), Health Systems, Economic Evaluations, Quality of Life (20 papers), Global Health Care Issues (14 papers), Statistical Methods and Bayesian Inference (8 papers), Economic and Environmental Valuation (7 papers), Gender, Labor, and Family Dynamics (7 papers), Health disparities and outcomes (7 papers) and Employment and Welfare Studies (6 papers). The work is most often cited by research in Statistics and Probability (659 citations), Economics and Econometrics (2.2k citations), General Health Professions (1.4k citations), Health (362 citations) and General Decision Sciences (58 citations). John Mullahy has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Aaron A. Stinnett, Jody L. Sindelar, Wang Hong, Paul R. Portney, David A. Kindig, Willard G. Manning, Hong Wang, Anirban Basu, Stéphanie Robert and Edward C. Norton. Their work appears in journals such as Health Economics, Journal of Health Economics, Quality of Life Research, Empirical Economics and Review of Economics of the Household.

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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