Fridolin Linder

15 papers receiving 273 citations

Peers

Fridolin Linder
Comparison fields: 5 of 83
  • General Social Sciences 41
  • Public Administration 28
  • Political Science and International Relations 123
  • Communication 24
  • Strategy and Management 46
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James Cross United States
Ronny Patz Germany
Micha Germann Switzerland
Klaus Schubert Germany
Till Blume Germany
Suzanna Linn United States
Philip O. Paolino United States
David Muchlinski United States
Alfred G. Cuzán United States
Mary Grisez Kweit United States
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Citations per year

Countries citing papers authored by Fridolin Linder

Since Specialization
Citations

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

Fields of papers citing papers by Fridolin Linder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Fridolin Linder, 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 Fridolin Linder Line = papers co-authored together Fridolin Linder links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201661
2 201847
3 201945
4 202041
5 202024
6 201824
7 201523
8 20217
9 20235
10 20175
11 20153
12 20152
13 20181
14
Inferring Latent Diffusion Networks [R package NetworkInference version 1.2.4]
20191
15
Privacy Protection for Natural Language: Neural Generative Models for Synthetic Text Data.
20161
16 20240

About Fridolin Linder

Fridolin Linder is a scholar working on Political Science and International Relations, Sociology and Political Science, Artificial Intelligence, General Social Sciences and Law, having authored 16 papers that have together received 290 indexed citations. Recurring topics across this work include Computational and Text Analysis Methods (4 papers), Policy Transfer and Learning (4 papers), Electoral Systems and Political Participation (3 papers), Judicial and Constitutional Studies (3 papers), Political Influence and Corporate Strategies (2 papers), demographic modeling and climate adaptation (2 papers), Media Influence and Politics (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in General Social Sciences (41 citations), Public Administration (28 citations), Political Science and International Relations (123 citations), Communication (24 citations) and Strategy and Management (46 citations). Fridolin Linder has collaborated with scholars based in United States, United Kingdom and Philippines. Frequent co-authors include Zachary Jones, Bruce Desmarais, Walter R. Mebane, Frederick J. Boehmke, Jeffrey J. Harden, Hanna Wallach, Matthew G. Burgess, Vishakh Padmakumar, Jonathan Nagler and Joshua A. Tucker. Their work appears in journals such as Policy Studies Journal, The Journal of Politics, Political Analysis, Journal of Information Technology & Politics and PLoS ONE.

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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