Kabir Khanna

794 total citations · 2 hit papers
5 papers, 444 citations indexed

About

Kabir Khanna is a scholar working on Sociology and Political Science, Political Science and International Relations and Cognitive Neuroscience. According to data from OpenAlex, Kabir Khanna has authored 5 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Sociology and Political Science, 3 papers in Political Science and International Relations and 1 paper in Cognitive Neuroscience. Recurrent topics in Kabir Khanna's work include Electoral Systems and Political Participation (3 papers), Media Influence and Politics (3 papers) and Social and Intergroup Psychology (2 papers). Kabir Khanna is often cited by papers focused on Electoral Systems and Political Participation (3 papers), Media Influence and Politics (3 papers) and Social and Intergroup Psychology (2 papers). Kabir Khanna collaborates with scholars based in United States. Kabir Khanna's co-authors include Gaurav Sood, Kosuke Imai, Markus Prior, Laura L. Carstensen, Brian Knutson, Gregory R. Samanez‐Larkin and Sasha E. B. Gibbs and has published in prestigious journals such as Nature Neuroscience, Political Analysis and Political Behavior.

In The Last Decade

Kabir Khanna

5 papers receiving 427 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

You Cannot be Serious: The Impact of Accuracy Incentives on Partisan Bias in Reports of Economic Perceptions

2015 214 citations Markus Prior, Gaurav Sood et al. Quarterly Journal of Political Science profile →
Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Records

2016 151 citations Kosuke Imai, Kabir Khanna Political Analysis profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kabir Khanna United States	4	274	194	114	57	49	5	444
Michelle Torres United States	5	321 1.2×	223 1.1×	78 0.7×	71 1.2×	28 0.6×	9	555
Douglas J. Ahler United States	6	379 1.4×	349 1.8×	222 1.9×	29 0.5×	26 0.5×	11	608
Christopher Hare United States	10	200 0.7×	276 1.4×	107 0.9×	54 0.9×	24 0.5×	27	504
Julie Wronski United States	9	323 1.2×	265 1.4×	125 1.1×	23 0.4×	18 0.4×	12	485
Cengiz Erişen Türkiye	13	428 1.6×	294 1.5×	114 1.0×	18 0.3×	48 1.0×	35	605
Cheryl Boudreau United States	10	184 0.7×	230 1.2×	73 0.6×	52 0.9×	15 0.3×	40	411
Joshua Robison Denmark	14	289 1.1×	270 1.4×	182 1.6×	29 0.5×	23 0.5×	31	491
Federico Vegetti Italy	11	400 1.5×	257 1.3×	179 1.6×	26 0.5×	113 2.3×	21	599
Martin Bisgaard Denmark	6	315 1.1×	395 2.0×	173 1.5×	75 1.3×	24 0.5×	7	563
Daniel R. Biggers United States	12	223 0.8×	318 1.6×	89 0.8×	51 0.9×	29 0.6×	23	430

Countries citing papers authored by Kabir Khanna

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Khanna, Kabir & Kosuke Imai. (2021). Who are You? Bayesian Prediction of Racial Category Using Surname and Geolocation [R package wru version 0.1-12]. 3 indexed citations

2.

Khanna, Kabir & Gaurav Sood. (2017). Motivated Responding in Studies of Factual Learning. Political Behavior. 40(1). 79–101. 52 indexed citations

3.

Imai, Kosuke & Kabir Khanna. (2016). Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Records. Political Analysis. 24(2). 263–272. 151 indexed citations breakdown →

4.

Prior, Markus, Gaurav Sood, & Kabir Khanna. (2015). You Cannot be Serious: The Impact of Accuracy Incentives on Partisan Bias in Reports of Economic Perceptions. Quarterly Journal of Political Science. 10(4). 489–518. 214 indexed citations breakdown →

5.

Samanez‐Larkin, Gregory R., et al.. (2007). Anticipation of monetary gain but not loss in healthy older adults. Nature Neuroscience. 10(6). 787–791. 24 indexed citations

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.

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