Inés Levin

951 total citations
30 papers, 549 citations indexed

About

Inés Levin is a scholar working on Political Science and International Relations, Sociology and Political Science and Communication. According to data from OpenAlex, Inés Levin has authored 30 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Political Science and International Relations, 16 papers in Sociology and Political Science and 9 papers in Communication. Recurrent topics in Inés Levin's work include Electoral Systems and Political Participation (19 papers), Social Media and Politics (9 papers) and Internet Traffic Analysis and Secure E-voting (8 papers). Inés Levin is often cited by papers focused on Electoral Systems and Political Participation (19 papers), Social Media and Politics (9 papers) and Internet Traffic Analysis and Secure E-voting (8 papers). Inés Levin collaborates with scholars based in United States, United Kingdom and Italy. Inés Levin's co-authors include R. Michael Alvarez, Gabriel Katz, Sean Ingham, Thad E. Hall, Lonna Rae Atkeson, Alexander H. Trechsel, Charles Stewart, Peter Mair, Kristjan Vassil and Joshua A. Tucker and has published in prestigious journals such as PLoS ONE, The Journal of Politics and Social Science Research.

In The Last Decade

Inés Levin

30 papers receiving 516 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inés Levin United States 16 308 246 151 105 50 30 549
Arturas Rozenas United States 12 409 1.3× 623 2.5× 95 0.6× 39 0.4× 79 1.6× 32 816
Gonzalo Rivero United States 10 165 0.5× 312 1.3× 237 1.6× 90 0.9× 57 1.1× 15 572
Yuri Zhukov United States 17 533 1.7× 844 3.4× 72 0.5× 43 0.4× 80 1.6× 41 1.1k
Kristjan Vassil Estonia 12 189 0.6× 161 0.7× 154 1.0× 113 1.1× 28 0.6× 21 420
Ethan C. Busby United States 9 200 0.6× 257 1.0× 87 0.6× 157 1.5× 34 0.7× 20 580
Patrick L. Warren United States 11 102 0.3× 280 1.1× 131 0.9× 56 0.5× 129 2.6× 30 503
Adam R. Brown United States 8 225 0.7× 134 0.5× 217 1.4× 47 0.4× 61 1.2× 22 432
Денис Стукал Russia 8 213 0.7× 723 2.9× 534 3.5× 247 2.4× 17 0.3× 25 997
Mikhail Myagkov United States 13 358 1.2× 456 1.9× 16 0.1× 78 0.7× 113 2.3× 47 744
David Alan Sklansky United States 13 197 0.6× 277 1.1× 13 0.1× 64 0.6× 79 1.6× 45 447

Countries citing papers authored by Inés Levin

Since Specialization
Citations

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

Fields of papers citing papers by Inés Levin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inés Levin

This figure shows the co-authorship network connecting the top 25 collaborators of Inés Levin. A scholar is included among the top collaborators of Inés Levin 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 Inés Levin. Inés Levin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Levin, Inés, Alexandra Filindra, & Jeffrey Kopstein. (2022). Validating and testing a measure of anti‐semitism on support for QAnon and vote intention for Trump in 2020. Social Science Quarterly. 103(4). 794–809. 4 indexed citations
2.
Alvarez, R. Michael, et al.. (2020). Conventional and unconventional participation in Latin America: a hierarchical latent class approach. Political Science Research and Methods. 9(4). 878–888. 4 indexed citations
3.
Alvarez, R. Michael, et al.. (2019). Paying Attention to Inattentive Survey Respondents. Political Analysis. 27(2). 145–162. 69 indexed citations
4.
Alvarez, R. Michael, et al.. (2019). Election forensics: Using machine learning and synthetic data for possible election anomaly detection. PLoS ONE. 14(10). e0223950–e0223950. 13 indexed citations
5.
Alvarez, R. Michael, et al.. (2018). Fraud, convenience, and e-voting: how voting experience shapes opinions about voting technology. Journal of Information Technology & Politics. 15(2). 94–105. 20 indexed citations
6.
Ingham, Sean & Inés Levin. (2018). Can Deliberative Minipublics Influence Public Opinion? Theory and Experimental Evidence. Political Research Quarterly. 71(3). 654–667. 25 indexed citations
7.
Ingham, Sean & Inés Levin. (2018). Can Deliberative Minipublics Influence Public Opinion? Theory and Experimental Evidence. SSRN Electronic Journal. 3 indexed citations
8.
Alvarez, R. Michael, Thad E. Hall, & Inés Levin. (2018). Low-Information Voting: Evidence from Instant-Runoff Elections. SSRN Electronic Journal. 1 indexed citations
9.
Katz, Gabriel & Inés Levin. (2017). Varieties of political support in emerging democracies: A cross-national analysis. Social Science Research. 70. 55–70. 12 indexed citations
10.
Katz, Gabriel & Inés Levin. (2017). Varieties of Political Support in Emerging Democracies: A Cross-National Analysis. SSRN Electronic Journal. 1 indexed citations
11.
Álvarez, Rubén, Gary King, Christopher Warshaw, et al.. (2016). Computational Social Science. Cambridge University Press eBooks. 50 indexed citations
12.
Katz, Gabriel & Inés Levin. (2016). A General Model of Abstention Under Compulsory Voting. Political Science Research and Methods. 6(3). 489–508. 24 indexed citations
13.
Ingham, Sean & Inés Levin. (2016). Effects of Deliberative Minipublics on Public Opinion: Experimental Evidence from a Survey on Social Security Reform. International Journal of Public Opinion Research. edw030–edw030. 20 indexed citations
14.
Katz, Gabriel & Inés Levin. (2015). The Dynamics of Political Support in Emerging Democracies: Evidence from a Natural Disaster in Peru. International Journal of Public Opinion Research. 28(2). 173–195. 17 indexed citations
15.
Levin, Inés, et al.. (2014). From piloting to roll-out: voting experience and trust in the first full e-election in Argentina. 45. 1–10. 14 indexed citations
16.
Alvarez, R. Michael, et al.. (2013). Voting Made Safe and Easy: The Impact of e-voting on Citizen Perceptions. Political Science Research and Methods. 1(1). 117–137. 27 indexed citations
17.
Alvarez, R. Michael, Inés Levin, Alexander H. Trechsel, & Kristjan Vassil. (2013). Voting Advice Applications: How Useful and for Whom?. Journal of Information Technology & Politics. 11(1). 82–101. 21 indexed citations
18.
Alvarez, R. Michael, Thad E. Hall, Inés Levin, & Charles Stewart. (2011). Voter Opinions about Election Reform: Do They Support Making Voting More Convenient?. Election Law Journal Rules Politics and Policy. 10(2). 73–87. 41 indexed citations
19.
Levin, Inés, Gabe Cohn, Peter C. Ordeshook, & R. Michael Alvarez. (2009). Detecting voter fraud in an electronic voting context: an analysis of the unlimited reelection vote in Venezuela. DSpace@MIT (Massachusetts Institute of Technology). 4–4. 17 indexed citations
20.
Levin, Inés & R. Michael Alvarez. (2009). Measuring the Effects of Voter Confidence on Political Participation: An Application to the 2006 Mexican Election. DSpace@MIT (Massachusetts Institute of Technology). 3 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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