Jonathan Kropko

750 citations
17 papers · 401 · h-index 9

Impact in

Papers in

Jonathan Kropko

16 papers receiving 377 citations

Peers

Jonathan Kropko
Comparison fields: 5 of 96
  • Statistics and Probability 97
  • Political Science and International Relations 76
  • Economics and Econometrics 85
  • Gender Studies 23
  • Communication 17
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Kropko

Since Specialization
Citations

This map shows the geographic impact of Jonathan Kropko'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 Jonathan Kropko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Kropko more than expected).

Fields of papers citing papers by Jonathan Kropko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Kropko. 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 Jonathan Kropko. The network helps show where Jonathan Kropko may publish in the future.

Co-authors

The 13 scholars most cited alongside Jonathan Kropko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Kropko Line = papers co-authored together Jonathan Kropko links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2020134
2 201367
3 201456
4 201935
5 201724
6 201822
7 201322
8 201814
9 20199
10 20175
11
Multiple Imputation for Continuous and Categorical Data: Comparing Joint and Conditional Approaches
20135
12 20253
13 20162
14 20241
15
Drawing Accurate Inferences About the Differences between Cases in Time-Series Cross-Section Data
20111
16
Duration-Based Quantities of Interest for the Cox Proportional Hazards Model [R package coxed version 0.3.3]
20201
17 20190

About Jonathan Kropko

Jonathan Kropko is a scholar working on Statistics and Probability, Political Science and International Relations, Sociology and Political Science, Artificial Intelligence and Economics and Econometrics, having authored 17 papers that have together received 401 indexed citations. Recurring topics across this work include Statistical Methods and Inference (5 papers), Advanced Causal Inference Techniques (4 papers), Statistical Methods and Bayesian Inference (4 papers), Electoral Systems and Political Participation (3 papers), Social Media and Politics (2 papers), Bayesian Methods and Mixture Models (2 papers), Spatial and Panel Data Analysis (2 papers) and Probability and Risk Models (1 paper). The work is most often cited by research in Statistics and Probability (97 citations), Political Science and International Relations (76 citations), Economics and Econometrics (85 citations), Gender Studies (23 citations) and Communication (17 citations). Jonathan Kropko has collaborated with scholars based in United States, China and United Arab Emirates. Frequent co-authors include Robert Kubinec, Andrew Gelman, Jennifer Hill, Jeffrey J. Harden, Ben Goodrich, Jun S. Liu, Yu‐Sung Su, Trenette T. Clark, Anh B. Nguyen and Kevin K. Banda. Their work appears in journals such as The R Journal, Journal of Communication, Political Analysis, Journal of Psychoactive Drugs and British Journal of Political Science.

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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