Filip Matějka

2.2k citations
25 papers · 1.1k indexed · 1 hit paper · h-index 15
Topics
Economic theories and models (9 papers)Experimental Behavioral Economics Studies (7 papers)Media Influence and Politics (5 papers)

In The Last Decade

Filip Matějka

25 papers receiving 1.1k citations

Hit Papers

Rational Inattention to Discrete Choices: A New Foundatio...20152026201820222015100200300

Peers

Filip Matějka
Comparison fields: 5 of 83
  • Economics and Econometrics 656
  • Management Science and Operations Research 234
  • Sociology and Political Science 226
  • General Decision Sciences 222
  • Safety Research 193
Replace Chris D. Orme with:
Chris D. Orme United Kingdom
Olivier Armantier United States
Paul Heidhues Germany
Marcel Boyer Canada
Tanjim Hossain Canada
Marco Mariotti United Kingdom
Ran Spiegler Israel
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Jerry R. Green United States
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Filip Matějka relative to Chris D. Orme United Kingdom Chris D. Orme's profile →
Citations per field
00.5×4.9×
Chris D. Orme · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 3
2 3
3 40
4 34
5 26
6 33
7
Survey: Rational Inattention, a Disciplined Behavioral Model
11
8 6
9 78
10 3
11 182
12
Rational Inattention to Discrete Choices: A New Foundation for the Multinomial Logit Modelbreakdown →
383
13 45
14 76
15 7
16
Attention Discrimination: Theory and Field Experiments
1
17 44
18 21
19 33
20 18

About Filip Matějka

Filip Matějka is a scholar working on General Decision Sciences, Safety Research and Economics and Econometrics, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Economic theories and models (9 papers), Experimental Behavioral Economics Studies (7 papers) and Media Influence and Politics (5 papers). The work is most often cited by research in General Decision Sciences (222 citations), Economics and Econometrics (656 citations) and Safety Research (193 citations). Filip Matějka has collaborated with scholars based in Czechia, Germany and United States. Frequent co-authors include Alisdair McKay, Vojtěch Bartoš, Julie Chytilová, Michal Bauer, Mirko Wiederholt, Guido Tabellini, Colin Stewart, Jakub Steiner, Botond Kőszegi and Christopher A. Sims. Their work appears in journals such as American Economic Review, The Quarterly Journal of Economics and Econometrica.

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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