Matthew Baum

12.6k citations
93 papers · 7.2k indexed · 3 hit papers · h-index 32

Matthew Baum

88 papers receiving 6.6k citations

Hit Papers

Prevalence a...229200120262009201750010001.5k2.0k

Peers

Matthew Baum
Comparison fields: 5 of 156
  • Communication 2.6k
  • Sociology and Political Science 4.6k
  • Development 290
  • Political Science and International Relations 1.9k
  • Literature and Literary Theory 408
Replace Adam J. Berinsky with:
Adam J. Berinsky United States
Jason Reifler United Kingdom
Joshua A. Tucker United States
Neil Malhotra United States
Stuart Soroka United States
Gregory A. Huber United States
Brendan Nyhan United States
Alan S. Gerber United States
Jonathan Nagler United States
W. Russell Neuman United States
Matthew Baum relative to Adam J. Berinsky United States Adam J. Berinsky's profile →
Citations per field
00.5×3.2×
Adam J. Berinsky · 1×
Citations per year

Countries citing papers authored by Matthew Baum

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Baum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20251
4 20251
5 20250
6 202418
7 20238
8 20239
9 202313
10 202216
11 202228
12 202212
13 202113
14 201948
15
The science of fake newsbreakdown →
20182305
16 201813
17 20155
18 201558
19 200874
20 200718

About Matthew Baum

Matthew Baum is a scholar working on Communication, Political Science and International Relations, Health, Sociology and Political Science and Modeling and Simulation, having authored 93 papers that have together received 7.2k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (29 papers), Media Influence and Politics (26 papers), Social Media and Politics (23 papers), Misinformation and Its Impacts (16 papers), Media Studies and Communication (12 papers), Political Influence and Corporate Strategies (11 papers), COVID-19 and Mental Health (8 papers) and Vaccine Coverage and Hesitancy (7 papers). The work is most often cited by research in Communication (2.6k citations), Sociology and Political Science (4.6k citations), Development (290 citations), Political Science and International Relations (1.9k citations) and Literature and Literary Theory (408 citations). Matthew Baum has collaborated with scholars based in United States, Mexico and Netherlands. Frequent co-authors include David A. Lake, Tim Groeling, Philip Potter, David Lazer, Adam J. Berinsky, Emily Thorson, Brendan Nyhan, Steven A. Sloman, Cass R. Sunstein and Yochai Roberts Benkler. Their work appears in journals such as JAMA Network Open, American Journal of Political Science, The Journal of Politics, Political Communication and American Political Science Review.

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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