Tobias Widmann

405 total citations
11 papers, 217 citations indexed

About

Tobias Widmann is a scholar working on Sociology and Political Science, Artificial Intelligence and Political Science and International Relations. According to data from OpenAlex, Tobias Widmann has authored 11 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 5 papers in Artificial Intelligence and 4 papers in Political Science and International Relations. Recurrent topics in Tobias Widmann's work include Populism, Right-Wing Movements (4 papers), Computational and Text Analysis Methods (3 papers) and Misinformation and Its Impacts (3 papers). Tobias Widmann is often cited by papers focused on Populism, Right-Wing Movements (4 papers), Computational and Text Analysis Methods (3 papers) and Misinformation and Its Impacts (3 papers). Tobias Widmann collaborates with scholars based in Denmark, Italy and Switzerland. Tobias Widmann's co-authors include Maximilian Wich, Vicente Valentim, Kristina Bakkær Simonsen and Daniele Caramani and has published in prestigious journals such as The Journal of Politics, Comparative Political Studies and Political Psychology.

In The Last Decade

Tobias Widmann

11 papers receiving 201 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tobias Widmann Denmark 5 109 104 52 52 22 11 217
Morgan Marietta United States 9 177 1.6× 66 0.6× 47 0.9× 78 1.5× 7 0.3× 20 250
Tuukka Ylä-Anttila Finland 5 163 1.5× 80 0.8× 45 0.9× 114 2.2× 25 1.1× 11 244
Spyros Kosmidis United Kingdom 10 107 1.0× 156 1.5× 36 0.7× 60 1.2× 9 0.4× 11 243
Gabriella Szabó Hungary 9 140 1.3× 74 0.7× 30 0.6× 133 2.6× 3 0.1× 30 262
Delia Dumitrescu United Kingdom 8 94 0.9× 70 0.7× 19 0.4× 94 1.8× 3 0.1× 19 197
Ilya Yablokov United Kingdom 9 217 2.0× 124 1.2× 40 0.8× 160 3.1× 4 0.2× 18 320
Juha Herkman Finland 9 77 0.7× 120 1.2× 19 0.4× 139 2.7× 3 0.1× 38 234
Epp Lauk Finland 8 72 0.7× 38 0.4× 23 0.4× 77 1.5× 4 0.2× 33 174
Aurélie Campana Canada 11 212 1.9× 125 1.2× 24 0.5× 35 0.7× 4 0.2× 33 286

Countries citing papers authored by Tobias Widmann

Since Specialization
Citations

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

Fields of papers citing papers by Tobias Widmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tobias Widmann

This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Widmann. A scholar is included among the top collaborators of Tobias Widmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tobias Widmann. Tobias Widmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Simonsen, Kristina Bakkær & Tobias Widmann. (2025). When Do Political Parties Moralize?: A Cross-National Study of the Use of Moral Language in Political Communication on Immigration. British Journal of Political Science. 55. 1 indexed citations
2.
Widmann, Tobias & Kristina Bakkær Simonsen. (2024). Setting the tone: the diffusion of moral and moral-emotional appeals across political and public discourse. Political Science Research and Methods. 13(2). 489–496. 2 indexed citations
3.
Caramani, Daniele, et al.. (2024). The Evolution of Global Cleavages: A Historical Analysis of Territorial and Functional World Alignments Based on Automated Text Analysis, 1843–2020. Comparative Political Studies. 58(7). 1495–1532. 1 indexed citations
4.
Widmann, Tobias. (2024). Do Politicians Appeal to Discrete Emotions? The Effect of Wind Turbine Construction on Elite Discourse. The Journal of Politics. 87(1). 335–346. 4 indexed citations
5.
Widmann, Tobias. (2022). Fear, Hope, and COVID‐19: Emotional Elite Rhetoric and Its Impact on the Public During the First Wave of the COVID‐19 Pandemic. Political Psychology. 43(5). 827–850. 26 indexed citations
6.
Widmann, Tobias & Maximilian Wich. (2022). Creating and Comparing Dictionary, Word Embedding, and Transformer-Based Models to Measure Discrete Emotions in German Political Text. Political Analysis. 31(4). 626–641. 46 indexed citations
7.
Widmann, Tobias & Maximilian Wich. (2022). Creating and Comparing Dictionary, Word Embedding, and Transformer-based Models to Measure Discrete Emotions in German Political Text. SSRN Electronic Journal. 2 indexed citations
8.
Valentim, Vicente & Tobias Widmann. (2021). Does Radical-Right Success Make the Political Debate More Negative? Evidence from Emotional Rhetoric in German State Parliaments. Political Behavior. 45(1). 243–264. 38 indexed citations
9.
Widmann, Tobias. (2020). How Emotional Are Populists Really? Factors Explaining Emotional Appeals in the Communication of Political Parties. Political Psychology. 42(1). 163–181. 91 indexed citations
11.

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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