Uwe Serdült

993 citations
49 papers · 498 · h-index 12

Impact in

Papers in

Uwe Serdült

43 papers receiving 454 citations

Peers

Uwe Serdült
Comparison fields: 5 of 77
  • Communication 171
  • Political Science and International Relations 238
  • Artificial Intelligence 143
  • Statistical and Nonlinear Physics 54
  • Public Administration 12
Replace Fernando Mendez with:
Fernando Mendez Switzerland
Thierry Vedel France
Catie Snow Bailard United States
John Gøtze Denmark
Donatella Selva Italy
Kristina Irion Netherlands
Ulrich Riehm Germany
Tuen‐yu Lau United States
Nadiya Kostyuk United States
Florian Saurwein Austria
Uwe Serdült relative to Fernando Mendez Switzerland Fernando Mendez's profile →
Citations per field
00.5×1.5×2.2×
Fernando Mendez · 1×
Citations per year

Countries citing papers authored by Uwe Serdült

Since Specialization
Citations

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

Fields of papers citing papers by Uwe Serdült

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Uwe Serdült, 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 Uwe Serdült Line = papers co-authored together Uwe Serdült links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201766
2 201561
3
Kaleidoskop Volksrechte : die Institutionen der direkten Demokratie in den schweizerischen Kantonen (1970-1996)
199957
4 201442
5 201231
6 201527
7 201222
8 201420
9 201715
10 201514
11 202214
12 200412
13 20219
14 20228
15 20158
16 19997
17 20217
18 20167
19 20146
20 20216

About Uwe Serdült

Uwe Serdült is a scholar working on Artificial Intelligence, Political Science and International Relations, Sociology and Political Science, Communication and Law, having authored 49 papers that have together received 498 indexed citations. Recurring topics across this work include Social Media and Politics (12 papers), Internet Traffic Analysis and Secure E-voting (9 papers), Public Administration and Political Analysis (7 papers), Sentiment Analysis and Opinion Mining (7 papers), Hate Speech and Cyberbullying Detection (5 papers), Digital Marketing and Social Media (5 papers), Electoral Systems and Political Participation (4 papers) and Law and Political Science (4 papers). The work is most often cited by research in Communication (171 citations), Political Science and International Relations (238 citations), Artificial Intelligence (143 citations), Statistical and Nonlinear Physics (54 citations) and Public Administration (12 citations). Uwe Serdült has collaborated with scholars based in Switzerland, Japan and Indonesia. Frequent co-authors include Micha Germann, Fernando Mendez, Yanina Welp, David García, Frank Schweitzer, Victor V. Kryssanov, Jonathan Wheatley, Christian Hirschi, Budi Setiawan and Thomas Widmer. Their work appears in journals such as Swiss Political Science Review, Representation, Big Data and Cognitive Computing, Applied Sciences 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.

Explore authors with similar magnitude of impact