Gábor Simonovits
- Sociology and Political Science top 5%
- Political Science and International Relations top 2%
- Statistics, Probability and Uncertainty top 1%
- Economics and Econometrics top 5%
- Social Psychology top 10%
- Co-authors
- Neil MalhotraAnnie FrancoGábor KézdiJennifer McCoyLevente LittvayPeter KardošJon A. KrosnickJosh Pasek
- Topics
- Electoral Systems and Political Participation (18 papers)Social and Intergroup Psychology (7 papers)Fiscal Policies and Political Economy (6 papers)
- Partner nations
- United StatesAustriaHungary
In The Last Decade
Gábor Simonovits
29 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Sociology and Political Science 446
- Political Science and International Relations 322
- Statistics, Probability and Uncertainty 274
- Economics and Econometrics 208
- Social Psychology 144
Countries citing papers authored by Gábor Simonovits
This map shows the geographic impact of Gábor Simonovits'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 Gábor Simonovits with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Simonovits more than expected).
Fields of papers citing papers by Gábor Simonovits
This network shows the impact of papers produced by Gábor Simonovits. 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 Gábor Simonovits. The network helps show where Gábor Simonovits may publish in the future.
Co-authorship network of co-authors of Gábor Simonovits
This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Simonovits. A scholar is included among the top collaborators of Gábor Simonovits 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 Gábor Simonovits. Gábor Simonovits 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 | 5 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 12 | |
| 11 | 5 | |
| 12 | 12 | |
| 13 | 7 | |
| 14 | 7 | |
| 15 | 70 | |
| 16 | 82 | |
| 17 | Publication bias in the social sciences: Unlocking the file drawerbreakdown → | 941 |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 37 |
About Gábor Simonovits
Gábor Simonovits is a scholar working on Political Science and International Relations, Gender Studies and Public Administration, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (18 papers), Social and Intergroup Psychology (7 papers) and Fiscal Policies and Political Economy (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (274 citations), General Decision Sciences (44 citations) and Communication (106 citations). Gábor Simonovits has collaborated with scholars based in United States, Austria and Hungary. Frequent co-authors include Neil Malhotra, Annie Franco, Gábor Kézdi, Jennifer McCoy, Levente Littvay, Peter Kardoš, Jon A. Krosnick, Josh Pasek, Eric Chen and Erik Peterson. Their work appears in journals such as Science, Scientific Reports and American Political Science Review.
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.