Pablo Jost

911 citations
33 papers · 551 · h-index 14

Impact in

Papers in

Pablo Jost

32 papers receiving 516 citations

Peers

Pablo Jost
Comparison fields: 5 of 53
  • Communication 399
  • Sociology and Political Science 263
  • Gender Studies 54
  • Artificial Intelligence 188
  • Political Science and International Relations 122
Replace Patrícia Rossini with:
Patrícia Rossini United Kingdom
Bryan T. Gervais United States
Arthur D. Santana United States
Márton Bene Hungary
Michael Bossetta Sweden
Karoline Andrea Ihlebæk Norway
Joel Penney United States
Brenda Moon Australia
Qinfeng Zhu Hong Kong
Arnim Bleier Germany
Pablo Jost relative to Patrícia Rossini United Kingdom Patrícia Rossini's profile →
Citations per field
00.5×3.6×
Patrícia Rossini · 1×
Citations per year

Countries citing papers authored by Pablo Jost

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Jost

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Pablo Jost, 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 Pablo Jost Line = papers co-authored together Pablo Jost links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202075
2 201659
3 201848
4
Populism Fuels Love and Anger: The Impact of Message Features on Users’ Reactions on Facebook
202045
5 201944
6 201739
7 201834
8 201826
9 202225
10 202121
11 202216
12 202216
13 202114
14 202213
15 202011
16 202310
17 20188
18 20248
19 20197
20 20236

About Pablo Jost

Pablo Jost is a scholar working on Communication, Sociology and Political Science, Political Science and International Relations, Artificial Intelligence and Gender Studies, having authored 33 papers that have together received 551 indexed citations. Recurring topics across this work include Social Media and Politics (22 papers), Media Studies and Communication (13 papers), Hate Speech and Cyberbullying Detection (9 papers), Populism, Right-Wing Movements (6 papers), Media Influence and Politics (5 papers), Digital Communication and Language (4 papers), Gender, Feminism, and Media (4 papers) and Misinformation and Its Impacts (3 papers). The work is most often cited by research in Communication (399 citations), Sociology and Political Science (263 citations), Gender Studies (54 citations), Artificial Intelligence (188 citations) and Political Science and International Relations (122 citations). Pablo Jost has collaborated with scholars based in Germany, United States and Russia. Frequent co-authors include Marc Ziegele, Marcus Maurer, Jörg Haßler, Simon Kruschinski, Teresa K. Naab, Petro Tolochko, Tobias Heidenreich, Hajo G. Boomgaarden, Jakob‐Moritz Eberl and Nina Springer. Their work appears in journals such as Studies in Communication and Media, Policy & Internet, New Media & Society, Journal of Information Technology & Politics and The International Journal of Press/Politics.

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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