Jakob‐Moritz Eberl

2.7k citations
48 papers · 1.6k · 2 hit papers · h-index 21

Impact in

Papers in

Jakob‐Moritz Eberl

47 papers receiving 1.5k citations

Jakob‐Moritz Eberl's Hit Papers

From populism to the “plandemic”: why populists believe in COVID-19 conspiracies 2021 · 153 citations
1530+2+5Years since publication100200300

Peers

Jakob‐Moritz Eberl
Comparison fields: 5 of 88
  • Communication 639
  • General Social Sciences 104
  • Sociology and Political Science 928
  • Political Science and International Relations 430
  • Health 122
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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-authors

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

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The European media discourse on immigration and its effects: a literature review
Hit paper breakdown →
2018327
2
From populism to the “plandemic”: why populists believe in COVID-19 conspiracies
Hit paper breakdown →
2021153
3 201992
4 201585
5 202181
6 202075
7 202074
8 202062
9 202060
10 202345
11 201941
12 202139
13 202036
14 202034
15 201633
16 202229
17 202122
18 201922
19 201821
20 202320

About Jakob‐Moritz Eberl

Jakob‐Moritz Eberl is a scholar working on Sociology and Political Science, Political Science and International Relations, Communication, Artificial Intelligence and General Social Sciences, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Social Media and Politics (15 papers), Electoral Systems and Political Participation (12 papers), Populism, Right-Wing Movements (9 papers), Media Studies and Communication (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 (639 citations), General Social Sciences (104 citations), Sociology and Political Science (928 citations), Political Science and International Relations (430 citations) and Health (122 citations). Jakob‐Moritz Eberl has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Hajo G. Boomgaarden, Tobias Heidenreich, Fabienne Lind, Esther Greussing, Robert Huber, Markus Wagner, Nora Theorin, Christine E. Meltzer, Christian Schemer and Jesper Strömbäck. Their work appears in journals such as The International Journal of Press/Politics, International journal of communication, Party Politics, Journalism Studies and Electoral Studies.

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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