Tatishe Nteta
- Sociology and Political Science top 5%
- Political Science and International Relations top 2%
- Gender Studies top 5%
- Communication top 10%
- Social Psychology
- Co-authors
- Brian SchaffnerMatthew C. MacWilliamsKevin WallstenJesse H. RhodesJill S. GreenleeLinda R. TroppYuen J. HuoEfrén O. Pérez
- Topics
- Electoral Systems and Political Participation (18 papers)Gender Politics and Representation (9 papers)Social and Intergroup Psychology (8 papers)
- Partner nations
- United States
In The Last Decade
Tatishe Nteta
27 papers receiving 572 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Sociology and Political Science 395
- Political Science and International Relations 320
- Gender Studies 202
- Communication 69
- Social Psychology 44
Countries citing papers authored by Tatishe Nteta
This map shows the geographic impact of Tatishe Nteta'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 Tatishe Nteta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatishe Nteta more than expected).
Fields of papers citing papers by Tatishe Nteta
This network shows the impact of papers produced by Tatishe Nteta. 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 Tatishe Nteta. The network helps show where Tatishe Nteta may publish in the future.
Co-authorship network of co-authors of Tatishe Nteta
This figure shows the co-authorship network connecting the top 25 collaborators of Tatishe Nteta. A scholar is included among the top collaborators of Tatishe Nteta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tatishe Nteta. Tatishe Nteta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 19 | |
| 11 | 7 | |
| 12 | 30 | |
| 13 | Understanding White Polarization in the 2016 Vote for President: The Sobering Role of Racism and Sexismbreakdown → | 292 |
| 14 | 14 | |
| 15 | 5 | |
| 16 | 18 | |
| 17 | 20 | |
| 18 | 17 | |
| 19 | 36 | |
| 20 | 24 |
About Tatishe Nteta
Tatishe Nteta is a scholar working on Gender Studies, Political Science and International Relations and General Social Sciences, having authored 33 papers that have together received 614 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (18 papers), Gender Politics and Representation (9 papers) and Social and Intergroup Psychology (8 papers). The work is most often cited by research in Gender Studies (202 citations), Political Science and International Relations (320 citations) and Communication (69 citations). Tatishe Nteta has collaborated with scholars based in United States. Frequent co-authors include Brian Schaffner, Matthew C. MacWilliams, Kevin Wallsten, Jesse H. Rhodes, Jill S. Greenlee, Linda R. Tropp, Yuen J. Huo, Efrén O. Pérez, Mia Costa and Seth Goldman. Their work appears in journals such as American Journal of Political Science, The Journal of Politics and Public Opinion 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.