Filip Matějka

46 total papers · 2.2k total citations
25 papers, 1.1k citations indexed

About

Filip Matějka is a scholar working on Economics and Econometrics, Safety Research and Sociology and Political Science. According to data from OpenAlex, Filip Matějka has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Economics and Econometrics, 7 papers in Safety Research and 5 papers in Sociology and Political Science. Recurrent topics in Filip Matějka's work include Economic theories and models (9 papers), Experimental Behavioral Economics Studies (7 papers) and Media Influence and Politics (5 papers). Filip Matějka is often cited by papers focused on Economic theories and models (9 papers), Experimental Behavioral Economics Studies (7 papers) and Media Influence and Politics (5 papers). Filip Matějka collaborates with scholars based in Czechia, Germany and United States. Filip Matějka's co-authors include Alisdair McKay, Julie Chytilová, Vojtěch Bartoš, Michal Bauer, Mirko Wiederholt, Guido Tabellini, Jakub Steiner, Colin Stewart, Christopher A. Sims and Botond Kőszegi and has published in prestigious journals such as American Economic Review, The Quarterly Journal of Economics and Econometrica.

In The Last Decade

Filip Matějka

25 papers receiving 1.1k citations

Hit Papers

Rational Inattention to D... 2015 2026 2018 2022 2015 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Filip Matějka 651 235 227 220 192 25 1.1k
Yaw Nyarko 694 1.1× 322 1.4× 196 0.9× 169 0.8× 278 1.4× 51 1.3k
W. M. Gorman 1.2k 1.8× 135 0.6× 174 0.8× 158 0.7× 53 0.3× 23 1.4k
Chris D. Orme 780 1.2× 226 1.0× 65 0.3× 580 2.6× 241 1.3× 32 1.3k
Ali al‐Nowaihi 677 1.0× 251 1.1× 106 0.5× 562 2.6× 233 1.2× 45 1.2k
Peter Norman Sørensen 546 0.8× 520 2.2× 140 0.6× 91 0.4× 328 1.7× 33 1.2k
Meghan R. Busse 898 1.4× 162 0.7× 267 1.2× 56 0.3× 67 0.3× 33 1.4k
Luis Rayo 405 0.6× 391 1.7× 182 0.8× 117 0.5× 229 1.2× 24 974
Paul Heidhues 845 1.3× 376 1.6× 102 0.4× 336 1.5× 351 1.8× 56 1.5k
Florian Ederer 663 1.0× 255 1.1× 144 0.6× 92 0.4× 308 1.6× 39 1.3k
Erik Eyster 422 0.6× 342 1.5× 204 0.9× 157 0.7× 356 1.9× 23 949

Countries citing papers authored by Filip Matějka

Since Specialization
Citations

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

Fields of papers citing papers by Filip Matějka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filip Matějka

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

All Works

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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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