Jakob‐Moritz Eberl

2.6k citations
48 papers · 1.5k indexed · 2 hit papers · h-index 21

Jakob‐Moritz Eberl

47 papers receiving 1.4k citations

Hit Papers

From populism to the “plandemic”: why populists believ...1502018202620202023100200300

Peers

Jakob‐Moritz Eberl
Comparison fields: 5 of 93
  • Communication 625
  • General Social Sciences 104
  • Sociology and Political Science 930
  • Political Science and International Relations 421
  • Health 137
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Countries citing papers authored by Jakob‐Moritz Eberl

Since Specialization
Citations

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

Fields of papers citing papers by Jakob‐Moritz Eberl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jakob‐Moritz Eberl. 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 Jakob‐Moritz Eberl. The network helps show where Jakob‐Moritz Eberl may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 20243
4 20243
5 202340
6 202229
7 202212
8 20217
9
From populism to the “plandemic”: why populists believe in COVID-19 conspiraciesbreakdown →
2021150
10 202121
11 202017
12 202019
13 202031
14 202062
15 202070
16 20205
17 202060
18 202075
19 201941
20
Computational Communication Science| When the Journey Is as Important as the Goal: A Roadmap to Multilingual Dictionary Construction
20194

About Jakob‐Moritz Eberl

Jakob‐Moritz Eberl is a scholar working on Communication, General Social Sciences, Political Science and International Relations, Modeling and Simulation and Sociology and Political Science, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Social Media and Politics (15 papers), Electoral Systems and Political Participation (12 papers), Media Studies and Communication (9 papers), Populism, Right-Wing Movements (9 papers), Misinformation and Its Impacts (8 papers), Media Influence and Politics (7 papers), Computational and Text Analysis Methods (6 papers) and Migration, Refugees, and Integration (6 papers). The work is most often cited by research in Communication (625 citations), General Social Sciences (104 citations), Sociology and Political Science (930 citations), Political Science and International Relations (421 citations) and Health (137 citations). Jakob‐Moritz Eberl has collaborated with scholars based in Austria, Germany and Sweden. Frequent co-authors include Hajo G. Boomgaarden, Tobias Heidenreich, Fabienne Lind, Esther Greussing, Robert Huber, Markus Wagner, Christine E. Meltzer, Christian Schemer, Nora Theorin and Jesper Strömbäck. Their work appears in journals such as The International Journal of Press/Politics, International journal of communication, Journal of Ethnic and Migration Studies, Journalism Studies and Journal of Elections Public Opinion and Parties.

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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