Michael E. Sobel

19.6k citations
63 papers · 14.9k indexed · 3 hit papers · h-index 26

Michael E. Sobel

63 papers receiving 13.8k citations

Hit Papers

Direct and Indirect Effects in Linear Structural Equation...55119822026199620112.5k5.0k7.5k10.0k

Peers

Michael E. Sobel
Comparison fields: 5 of 202
  • Organizational Behavior and Human Resource Management 2.5k
  • Applied Psychology 839
  • Social Psychology 2.9k
  • Statistics and Probability 1.1k
  • Clinical Psychology 2.6k
Replace Thomas D. Cook with:
Thomas D. Cook United States
James H. Steiger Canada
Leona S. Aiken United States
Dag Sörbom Sweden
Chondra M. Lockwood United States
Douglas G. Bonett United States
Roderick P. McDonald Australia
Anthony J. Onwuegbuzie United States
Patricia Cohen United States
Charles E. Lance United States
Michael E. Sobel relative to Thomas D. Cook United States Thomas D. Cook's profile →
Citations per field
00.5×1.6×
Thomas D. Cook · 1×
Citations per year

Countries citing papers authored by Michael E. Sobel

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Sobel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Sobel. 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 Michael E. Sobel. The network helps show where Michael E. Sobel may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202220
2 20202
3 201614
4 201413
5 201223
6 20129
7 20102
8 20052
9 2001112
10 1995138
11 19925
12 19926
13 1990160
14 1990193
15 198738
16 19867
17 19854
18 198411
19 198319
20 19815

About Michael E. Sobel

Michael E. Sobel is a scholar working on Statistics and Probability, General Social Sciences and Health, having authored 63 papers that have together received 14.9k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (12 papers), Statistical Methods and Bayesian Inference (10 papers), Statistical Methods and Inference (10 papers), Urban, Neighborhood, and Segregation Studies (7 papers), Intergenerational and Educational Inequality Studies (6 papers), Electoral Systems and Political Participation (5 papers), Advanced Statistical Methods and Models (5 papers) and Health disparities and outcomes (5 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (2.5k citations), Applied Psychology (839 citations) and Social Psychology (2.9k citations). Michael E. Sobel has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Gerhard Arminger, Clifford C. Clogg, Alan Agresti, Clement A. Stone, George W. Bohrnstedt, Ted Mouw, Otis Dudley Duncan, Michael Hout, Andrew Gelman and Steven Kou. Their work appears in journals such as Journal of the American Statistical Association, Sociological Methodology, Sociological Methods & Research, American Sociological Review and Contemporary Sociology A Journal of Reviews.

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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