Donald C. Baumer
Impact in
- Language and Linguistics top 5%
- Syntax, Semantics, Linguistic Variation
- Language, Discourse, Communication Strategies
- Linguistics and Language top 5%
- Linguistic Variation and Morphology
Papers in
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- Electoral Systems and Political Participation 3
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- Social Media and Politics 2
- Co-authors
- David Montero Sánchez (2 shared papers)Michael J. Scanlon (2 shared papers)Robert Kluender (1 shared paper)Maria Polinsky (1 shared paper)Nayoung Kwon (1 shared paper)Carl E. Van Horn (4 shared papers)Edward Cavin (1 shared paper)
- Journals
- PS Political Science & Politics (2 papers)The Journal of Human Resources (1 paper)Journal of Policy Analysis and Management (1 paper)The Social Science Journal (1 paper)American Politics Quarterly (1 paper)
- Partner nations
- United States
In The Last Decade
Donald C. Baumer
9 papers receiving 272 citations
Peers
Comparison fields: 5 of 44
- Language and Linguistics 195
- Linguistics and Language 68
- Experimental and Cognitive Psychology 108
- Developmental and Educational Psychology 83
- Cognitive Neuroscience 98
Countries citing papers authored by Donald C. Baumer
This map shows the geographic impact of Donald C. Baumer'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 Donald C. Baumer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald C. Baumer more than expected).
Fields of papers citing papers by Donald C. Baumer
This network shows the impact of papers produced by Donald C. Baumer. 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 Donald C. Baumer. The network helps show where Donald C. Baumer may publish in the future.
Co-authors
The 7 scholars most cited alongside Donald C. Baumer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Proceedings of the 25th West Coast Conference on Formal Linguistics | 2006 | 216 |
| 2 | Subject preference in Korean | 2006 | 57 |
| 3 | 1995 | 25 | |
| 4 | 1985 | 18 | |
| 5 | 2007 | 6 | |
| 6 | 2015 | 5 | |
| 7 | 1979 | 3 | |
| 8 | 2014 | 3 | |
| 9 | 2005 | 1 | |
| 10 | 2014 | 1 | |
| 11 | 1991 | 0 |
About Donald C. Baumer
Donald C. Baumer is a scholar working on Political Science and International Relations, Communication, Gender Studies, Sociology and Political Science and Cognitive Neuroscience, having authored 11 papers that have together received 335 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (3 papers), Social Media and Politics (2 papers), Language, Discourse, Communication Strategies (1 paper), Syntax, Semantics, Linguistic Variation (1 paper), Gender, Labor, and Family Dynamics (1 paper), Higher Education Research Studies (1 paper), Fiscal Policy and Economic Growth (1 paper) and Poverty, Education, and Child Welfare (1 paper). The work is most often cited by research in Language and Linguistics (195 citations), Linguistics and Language (68 citations), Experimental and Cognitive Psychology (108 citations), Developmental and Educational Psychology (83 citations) and Cognitive Neuroscience (98 citations). Donald C. Baumer has collaborated with scholars based in United States. Frequent co-authors include David Montero Sánchez, Michael J. Scanlon, Robert Kluender, Maria Polinsky, Nayoung Kwon, Carl E. Van Horn and Edward Cavin. Their work appears in journals such as PS Political Science & Politics, The Journal of Human Resources, Journal of Policy Analysis and Management, The Social Science Journal and American Politics Quarterly.
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.