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.
Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies
Countries citing papers authored by Jens Hainmueller
Since
Specialization
Citations
This map shows the geographic impact of Jens Hainmueller'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 Jens Hainmueller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jens Hainmueller more than expected).
Fields of papers citing papers by Jens Hainmueller
This network shows the impact of papers produced by Jens Hainmueller. 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 Jens Hainmueller. The network helps show where Jens Hainmueller may publish in the future.
Co-authorship network of co-authors of Jens Hainmueller
This figure shows the co-authorship network connecting the top 25 collaborators of Jens Hainmueller.
A scholar is included among the top collaborators of Jens Hainmueller 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 Jens Hainmueller. Jens Hainmueller is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bansak, Kirk, Jens Hainmueller, Daniel J. Hopkins, & Teppei Yamamoto. (2020). Using Conjoint Experiments to Analyze Elections: The Essential Role of the Average Marginal Component Effect (AMCE). SSRN Electronic Journal.6 indexed citations
Bansak, Kirk, Jens Hainmueller, & Dominik Hangartner. (2016). How economic, humanitarian, and religious concerns shape European attitudes toward asylum seekers. London School of Economics and Political Science Research Online (London School of Economics and Political Science).2 indexed citations
13.
Hainmueller, Jens, Daniel J. Hopkins, & Teppei Yamamoto. (2013). Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments. Political Analysis. 22(1). 1–30.1199 indexed citations breakdown →
14.
Eggers, Andrew C. & Jens Hainmueller. (2011). MPs for Sale? Returns to Office in Postwar British Politics. London School of Economics and Political Science Research Online (London School of Economics and Political Science).8 indexed citations
15.
Abadie, Alberto, Alexis Diamond, & Jens Hainmueller. (2011). Synth: An R Package for Synthetic Control Methods in Comparative Case Studies. SHILAP Revista de lepidopterología.35 indexed citations
16.
Abadie, Alberto, Alexis Diamond, & Jens Hainmueller. (2011). SYNTH: Stata module to implement Synthetic Control Methods for Comparative Case Studies. RePEc: Research Papers in Economics.49 indexed citations
17.
Hainmueller, Jens. (2008). Incumbency as a Source of Spillover Effects in Mixed Electoral Systems: Evidence from a Regression-Discontinuity Design. SSRN Electronic Journal.11 indexed citations
18.
Kern, Holger & Jens Hainmueller. (2007). Opium for the Masses: How Foreign Free Media Can Stabilize Authoritarian Regimes. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich).5 indexed citations
19.
Kern, Holger & Jens Hainmueller. (2006). Electoral Balancing, Divided Government, and Midterm Loss in German State Elections. SSRN Electronic Journal.5 indexed citations
20.
Hainmueller, Jens & Michael Hiscox. (2005). Educated Preferences: Explaining Attitudes Toward Immigration in Europe. RePEc: Research Papers in Economics.1 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.