Michael Becher

34 papers receiving 1.2k citations

Michael Becher's Hit Papers

Gender differences in COVID-19 attitudes and behavior: Panel evidence from eight countries 2020 · 575 citations
5750+2+4Years since publication100200300400500

Peers

Michael Becher
Comparison fields: 5 of 109
  • Modeling and Simulation 178
  • Health 167
  • Public Administration 64
  • Clinical Psychology 266
  • Applied Psychology 62
Replace Jean‐François Daoust with:
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Countries citing papers authored by Michael Becher

Since Specialization
Citations

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

Fields of papers citing papers by Michael Becher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gender differences in COVID-19 attitudes and behavior: Panel evidence from eight countries
Hit paper breakdown →
2020575
2 2020172
3 202149
4 201343
5 202141
6 200941
7 200837
8 201435
9 202031
10 201127
11 201823
12 201522
13 200718
14 202016
15 201915
16 202213
17 201613
18 202011
19 202310
20 20238

About Michael Becher

Michael Becher is a scholar working on Political Science and International Relations, Economics and Econometrics, Strategy and Management, Sociology and Political Science and Public Administration, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (17 papers), Political Influence and Corporate Strategies (9 papers), Fiscal Policies and Political Economy (8 papers), Social Policy and Reform Studies (8 papers), COVID-19 epidemiological studies (5 papers), Labor Movements and Unions (5 papers), COVID-19 Pandemic Impacts (4 papers) and Gender Politics and Representation (4 papers). The work is most often cited by research in Modeling and Simulation (178 citations), Health (167 citations), Public Administration (64 citations), Clinical Psychology (266 citations) and Applied Psychology (62 citations). Michael Becher has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Sylvain Brouard, Martial Foucault, Vincent Pons, Vincenzo Galasso, Paola Profeta, Pavlos Vasilopoulos, Daniel Stegmueller, Michael Donnelly, Ulrich Sieberer and Flemming Juul Christiansen. Their work appears in journals such as American Journal of Political Science, The Journal of Politics, British Journal of Political Science, International Journal of Production Economics and Canadian Journal of Political Science.

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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