Kabir Khanna
- Sociology and Political Science top 5%
- Political Science and International Relations top 5%
- Communication top 5%
- Economics and Econometrics
- Artificial Intelligence
- Co-authors
- Gaurav SoodKosuke ImaiMarkus PriorLaura L. CarstensenGregory R. Samanez‐LarkinSasha E. B. GibbsBrian Knutson
- Topics
- Electoral Systems and Political Participation (3 papers)Media Influence and Politics (3 papers)Social and Intergroup Psychology (2 papers)
- Partner nations
- United States
In The Last Decade
Kabir Khanna
5 papers receiving 427 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Sociology and Political Science 274
- Political Science and International Relations 194
- Communication 114
- Economics and Econometrics 57
- Artificial Intelligence 49
Countries citing papers authored by Kabir Khanna
This map shows the geographic impact of Kabir Khanna'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 Kabir Khanna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kabir Khanna more than expected).
Fields of papers citing papers by Kabir Khanna
This network shows the impact of papers produced by Kabir Khanna. 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 Kabir Khanna. The network helps show where Kabir Khanna may publish in the future.
Co-authorship network of co-authors of Kabir Khanna
This figure shows the co-authorship network connecting the top 25 collaborators of Kabir Khanna. A scholar is included among the top collaborators of Kabir Khanna 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 Kabir Khanna. Kabir Khanna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Who are You? Bayesian Prediction of Racial Category Using Surname and Geolocation [R package wru version 0.1-12] | 3 |
| 2 | 52 | |
| 3 | Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Recordsbreakdown → | 151 |
| 4 | You Cannot be Serious: The Impact of Accuracy Incentives on Partisan Bias in Reports of Economic Perceptionsbreakdown → | 214 |
| 5 | 24 |
About Kabir Khanna
Kabir Khanna is a scholar working on Political Science and International Relations, Law and Sociology and Political Science, having authored 5 papers that have together received 444 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (3 papers), Media Influence and Politics (3 papers) and Social and Intergroup Psychology (2 papers). The work is most often cited by research in Communication (114 citations), General Decision Sciences (16 citations) and Political Science and International Relations (194 citations). Kabir Khanna has collaborated with scholars based in United States. Frequent co-authors include Gaurav Sood, Kosuke Imai, Markus Prior, Laura L. Carstensen, Gregory R. Samanez‐Larkin, Sasha E. B. Gibbs and Brian Knutson. Their work appears in journals such as Nature Neuroscience, Political Analysis and Political Behavior.
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.