Simon Jackman

9.1k citations
58 papers · 5.9k · 4 hit papers · h-index 29

Impact in

Papers in

Simon Jackman

56 papers receiving 5.4k citations

Simon Jackman's Hit Papers

Bayesian Analysis for the Social Sciences 2009 · 459 citations
4590+7+14Years since publication50010001.5k

Peers

Simon Jackman
Comparison fields: 5 of 192
  • Political Science and International Relations 2.3k
  • Communication 485
  • Statistics and Probability 494
  • General Social Sciences 144
  • Law 412
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Citations per field
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Citations per year

Countries citing papers authored by Simon Jackman

Since Specialization
Citations

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

Fields of papers citing papers by Simon Jackman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Simon Jackman, 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 Simon Jackman Line = papers co-authored together Simon Jackman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Regression Models for Count Data inR
Hit paper breakdown →
20081772
2
The Statistical Analysis of Roll Call Data
Hit paper breakdown →
2004777
3
Bayesian Analysis for the Social Sciences
Hit paper breakdown →
2009459
4
Democracy as a Latent Variable
Hit paper breakdown →
2008405
5 2001200
6 2000183
7
Regression Models for Count Data in R
2008176
8 1998169
9 2003153
10 2017142
11 1994134
12 2013124
13 2005104
14 200094
15 201391
16 200882
17 200464
18 201851
19 200650
20 201048

About Simon Jackman

Simon Jackman is a scholar working on Political Science and International Relations, Sociology and Political Science, Statistics and Probability, Communication and Economics and Econometrics, having authored 58 papers that have together received 5.9k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (31 papers), Social Media and Politics (11 papers), Social and Intergroup Psychology (7 papers), Advanced Causal Inference Techniques (6 papers), Judicial and Constitutional Studies (5 papers), Commonwealth, Australian Politics and Federalism (4 papers), Statistical Methods and Bayesian Inference (4 papers) and Survey Methodology and Nonresponse (4 papers). The work is most often cited by research in Political Science and International Relations (2.3k citations), Communication (485 citations), Statistics and Probability (494 citations), General Social Sciences (144 citations) and Law (412 citations). Simon Jackman has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Achim Zeileis, Christian Kleiber, Joshua D. Clinton, Douglas Rivers, Shawn Treier, Nathaniel Beck, D. Sunshine Hillygus, Bruce Western, Larry M. Bartels and Lynn Vavreck. Their work appears in journals such as Political Analysis, American Journal of Political Science, PS Political Science & Politics, Electoral Studies and Legislative Studies Quarterly.

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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