Markus Möbius

41 papers receiving 2.4k citations

Markus Möbius's Hit Papers

Evaluating the fake news problem at the scale of the information ecosystem 2020 · 332 citations
3320+6+13Years since publication100200300400500

Peers

Markus Möbius
Comparison fields: 5 of 119
  • Safety Research 491
  • Communication 414
  • General Decision Sciences 89
  • Marketing 395
  • Sociology and Political Science 1.2k
Replace Daniel Diermeier with:
Daniel Diermeier United States
Nancy R. Buchan United States
Justin M. Rao United States
Peter H. Kim United States
Tanya Rosenblat United States
Vincent Buskens Netherlands
Bruce Barry United States
James R. Larson United States
Richard H. Willis United States
Werner Raub Netherlands
Markus Möbius relative to Daniel Diermeier United States Daniel Diermeier's profile →
Citations per field
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Daniel Diermeier · 1×
Citations per year

Countries citing papers authored by Markus Möbius

Since Specialization
Citations

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

Fields of papers citing papers by Markus Möbius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Why Beauty Matters
Hit paper breakdown →
2006506
2
Evaluating the fake news problem at the scale of the information ecosystem
Hit paper breakdown →
2020332
3 2009322
4 2009275
5 2021109
6 2004101
7 201184
8 200481
9 202171
10 201461
11 201456
12 200747
13 201746
14
The Impact of News Aggregators on Internet News Consumption: The Case of Localization
201243
15 201040
16 200640
17 202239
18 200735
19 202126
20 202122

About Markus Möbius

Markus Möbius is a scholar working on Sociology and Political Science, Management Science and Operations Research, Economics and Econometrics, Safety Research and Marketing, having authored 45 papers that have together received 2.5k indexed citations. Recurring topics across this work include Media Influence and Politics (12 papers), Experimental Behavioral Economics Studies (10 papers), Misinformation and Its Impacts (9 papers), Auction Theory and Applications (7 papers), Consumer Market Behavior and Pricing (7 papers), Game Theory and Applications (6 papers), Social Media and Politics (6 papers) and Opinion Dynamics and Social Influence (5 papers). The work is most often cited by research in Safety Research (491 citations), Communication (414 citations), General Decision Sciences (89 citations), Marketing (395 citations) and Sociology and Political Science (1.2k citations). Markus Möbius has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Tanya Rosenblat, David Rothschild, Duncan J. Watts, Ádám Szeidl, Dean Karlan, Quoc-Anh Do, Jennifer Allen, Stephen Leider, Drew Fudenberg and Glenn Ellison. Their work appears in journals such as American Economic Review, The Quarterly Journal of Economics, Journal of the European Economic Association, Management Science and Proceedings of the National Academy of Sciences.

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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