Michael Bailey

28 papers receiving 1.6k citations

Michael Bailey's Hit Papers

Social Connectedness: Measurement, Determinants, and Effects 2018 · 369 citations
3690+2+5Years since publication100200300

Peers

Michael Bailey
Comparison fields: 5 of 128
  • Finance 246
  • Accounting 260
  • Economics and Econometrics 465
  • Modeling and Simulation 69
  • Music 50
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Markus Möbius United States
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Countries citing papers authored by Michael Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Michael Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Social Connectedness: Measurement, Determinants, and Effects
Hit paper breakdown →
2018369
2
The Economic Effects of Social Networks: Evidence from the Housing Market
Hit paper breakdown →
2018278
3 1991272
4 1993159
5 2018124
6 201281
7 202071
8 202068
9 199660
10 199753
11 200050
12 200347
13 202227
14 202319
15 202014
16 201614
17 20195
18 20174
19 20194
20
Fiji School of Medicine Diploma in Pharmacy graduates, ten year analysis--where are they now?
20063

About Michael Bailey

Michael Bailey is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics, Economics and Econometrics, Marketing and Media Technology, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include Social Capital and Networks (6 papers), Media Influence and Politics (5 papers), Complex Network Analysis Techniques (5 papers), Advanced Causal Inference Techniques (4 papers), Housing Market and Economics (4 papers), Consumer Market Behavior and Pricing (4 papers), Financial Literacy, Pension, Retirement Analysis (3 papers) and ICT Impact and Policies (3 papers). The work is most often cited by research in Finance (246 citations), Accounting (260 citations), Economics and Econometrics (465 citations), Modeling and Simulation (69 citations) and Music (50 citations). Michael Bailey has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include Herbert W. Marsh, Theresa Kuchler, Johannes Stroebel, Arlene Wong, Ruiqing Cao, Ayman Farahat, Eduardo Dávila, Paul Van de Ven, Laurel Bornholt and Kenneth E. Sinclair. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Review of Economic Studies, Applied Psychological Measurement, Archives of Sexual Behavior and Asia-Pacific Journal of Teacher Education.

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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