Neil Malhotra
- Communication top 0.2%
- Social Media and Politics 21
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- Electoral Systems and Political Participation 58
- Sociology and Political Science top 0.1%
- Media Influence and Politics 17
- Social and Intergroup Psychology 13
- Political Conflict and Governance 8
- Gender Studies top 0.5%
- Public Administration top 2%
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- Political Influence and Corporate Strategies 12
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- Fiscal Policies and Political Economy 8
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- Experimental Behavioral Economics Studies 7
Neil Malhotra
100 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Communication 1.7k
- Political Science and International Relations 3.6k
- Sociology and Political Science 4.4k
- Gender Studies 614
- Public Administration 217
Countries citing papers authored by Neil Malhotra
This map shows the geographic impact of Neil Malhotra'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 Neil Malhotra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Malhotra more than expected).
Fields of papers citing papers by Neil Malhotra
This network shows the impact of papers produced by Neil Malhotra. 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 Neil Malhotra. The network helps show where Neil Malhotra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Neil Malhotra, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 13 | |
| 4 | 2019 | 11 | |
| 5 | The Economic Consequences of Partisanship in a Polarized Erabreakdown → | 2017 | 239 |
| 6 | 2017 | 70 | |
| 7 | 2017 | 42 | |
| 8 | Publication bias in the social sciences: Unlocking the file drawerbreakdown → | 2014 | 941 |
| 9 | 2014 | 30 | |
| 10 | 2012 | 6 | |
| 11 | Political Sorting in Social Relationships: Evidence from an Online Dating Community | 2012 | 6 |
| 12 | 2012 | 40 | |
| 13 | DRAFT. PLEASE DO NOT CITE OR CIRCULATE WITHOUT PERMISSION.∗ | 2011 | 1 |
| 14 | 2011 | 20 | |
| 15 | 2010 | 125 | |
| 16 | Optimal Design of Branching Questions to Measure Bipolar Constructs | 2009 | 0 |
| 17 | Can October Surprise? A Natural Experiment Assessing Late Campaign Effects | 2008 | 1 |
| 18 | Completion Time and Response Order Effects in Web Surveys | 2008 | 2 |
| 19 | 2008 | 161 | |
| 20 | Procedures for Updating Classification Systems: A Study of Biotechnology and the Standard Occupational Classification System | 2007 | 1 |
About Neil Malhotra
Neil Malhotra is a scholar working on Communication, Political Science and International Relations and General Decision Sciences, having authored 105 papers that have together received 8.3k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (58 papers), Social Media and Politics (21 papers), Media Influence and Politics (17 papers), Social and Intergroup Psychology (13 papers), Political Influence and Corporate Strategies (12 papers), Fiscal Policies and Political Economy (8 papers), Political Conflict and Governance (8 papers) and Experimental Behavioral Economics Studies (7 papers). The work is most often cited by research in Communication (1.7k citations), Political Science and International Relations (3.6k citations) and Sociology and Political Science (4.4k citations). Neil Malhotra has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Andrew Healy, Matthew Levendusky, Gábor Simonovits, Annie Franco, Sean Westwood, Yphtach Lelkes, Shanto Iyengar, Cecilia Hyunjung Mo, Alexander Kuo and Yotam Margalit. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.
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.