Thomas M. Meyer

2.8k total citations
56 papers, 1.3k citations indexed

About

Thomas M. Meyer is a scholar working on Political Science and International Relations, Strategy and Management and Communication. According to data from OpenAlex, Thomas M. Meyer has authored 56 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Political Science and International Relations, 24 papers in Strategy and Management and 13 papers in Communication. Recurrent topics in Thomas M. Meyer's work include Electoral Systems and Political Participation (33 papers), Political Influence and Corporate Strategies (24 papers) and Social Media and Politics (13 papers). Thomas M. Meyer is often cited by papers focused on Electoral Systems and Political Participation (33 papers), Political Influence and Corporate Strategies (24 papers) and Social Media and Politics (13 papers). Thomas M. Meyer collaborates with scholars based in Austria, Germany and Netherlands. Thomas M. Meyer's co-authors include Markus Wagner, Alejandro Ecker, Wolfgang C. Müller, Martin Haselmayer, Lewis P. Hinchman, Ralf Steinmetz, Carolina Plescia, Laurenz Ennser‐Jedenastik, Heiko Giebler and Ulrich Sieberer and has published in prestigious journals such as ACM SIGCOMM Computer Communication Review, The Journal of Politics and Comparative Political Studies.

In The Last Decade

Thomas M. Meyer

52 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas M. Meyer Austria 20 1.0k 400 385 376 120 56 1.3k
Anke Tresch Switzerland 18 891 0.9× 487 1.2× 350 0.9× 431 1.1× 126 1.1× 44 1.2k
Simon Otjes Netherlands 20 1.2k 1.1× 241 0.6× 406 1.1× 426 1.1× 94 0.8× 114 1.4k
Hans‐Jörg Trenz Norway 20 794 0.8× 339 0.8× 412 1.1× 280 0.7× 41 0.3× 72 1.2k
Emiliano Grossman France 17 579 0.6× 117 0.3× 209 0.5× 266 0.7× 59 0.5× 62 955
Kenneth Janda United States 14 1.1k 1.0× 194 0.5× 413 1.1× 353 0.9× 122 1.0× 45 1.3k
Martha Joynt Kumar United States 11 449 0.4× 567 1.4× 430 1.1× 149 0.4× 51 0.4× 37 997
Justin H. Kirkland United States 14 445 0.4× 133 0.3× 236 0.6× 176 0.5× 100 0.8× 38 654
Daniel E. Bergan United States 13 380 0.4× 377 0.9× 592 1.5× 144 0.4× 67 0.6× 46 895
Kees Aarts Netherlands 16 689 0.7× 342 0.9× 444 1.2× 83 0.2× 49 0.4× 66 1.0k
Karlheinz Reif Germany 10 1.7k 1.6× 270 0.7× 373 1.0× 344 0.9× 93 0.8× 17 1.9k

Countries citing papers authored by Thomas M. Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Thomas M. Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas M. Meyer. 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 Thomas M. Meyer. The network helps show where Thomas M. Meyer may publish in the future.

Co-authorship network of co-authors of Thomas M. Meyer

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas M. Meyer. A scholar is included among the top collaborators of Thomas M. Meyer 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 Thomas M. Meyer. Thomas M. Meyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ecker, Alejandro, Thomas M. Meyer, & Carolina Plescia. (2024). Do voters prefer logrolling to compromise in parliamentary democracies?. Electoral Studies. 93. 102889–102889.
2.
Meyer, Thomas M., et al.. (2023). Rebuilding the coalition ship at sea: how uncertainty and complexity drive the reform of portfolio design in coalition cabinets. West European Politics. 47(1). 142–163. 4 indexed citations
3.
Wagner, Markus & Thomas M. Meyer. (2023). How do Voters Form Perceptions of Party Positions?. British Journal of Political Science. 53(4). 1351–1362. 8 indexed citations
4.
Ecker, Alejandro, et al.. (2022). Coalition Mood in European Parliamentary Democracies. British Journal of Political Science. 53(1). 104–121. 12 indexed citations
5.
Gattermann, Katjana, et al.. (2021). Who won the election? Explaining news coverage of election results in multi‐party systems. European Journal of Political Research. 61(4). 857–877. 7 indexed citations
6.
Plescia, Carolina, Alejandro Ecker, & Thomas M. Meyer. (2021). Do party supporters accept policy compromises in coalition governments?. European Journal of Political Research. 61(1). 214–229. 20 indexed citations
7.
Meyer, Thomas M., et al.. (2020). Disseminating legislative debates: How legislators communicate the parliamentary agenda. Party Politics. 28(2). 365–376. 9 indexed citations
8.
Sieberer, Ulrich, Thomas M. Meyer, Hanna Bäck, et al.. (2019). The Political Dynamics of Portfolio Design in European Democracies. British Journal of Political Science. 51(2). 772–787. 44 indexed citations
9.
Ecker, Alejandro & Thomas M. Meyer. (2017). Coalition Bargaining Duration in Multiparty Democracies. British Journal of Political Science. 50(1). 261–280. 31 indexed citations
10.
Meyer, Thomas M. & Markus Wagner. (2017). It Sounds Like They are Moving: Understanding and Modeling Emphasis-Based Policy Change. Political Science Research and Methods. 7(4). 757–774. 24 indexed citations
11.
Ennser‐Jedenastik, Laurenz & Thomas M. Meyer. (2017). The Impact of Party Cues on Manual Coding of Political Texts. Political Science Research and Methods. 6(3). 625–633. 8 indexed citations
12.
Meyer, Thomas M., Martin Haselmayer, & Markus Wagner. (2017). Who Gets into the Papers? Party Campaign Messages and the Media. British Journal of Political Science. 50(1). 281–302. 35 indexed citations
13.
Müller, Wolfgang C., Martin Dolezal, Laurenz Ennser‐Jedenastik, et al.. (2017). AUTNES Content Analysis of Party Manifestos 2013. GESIS Data Archive. 2 indexed citations
14.
Haselmayer, Martin, Thomas M. Meyer, & Markus Wagner. (2017). Fighting for attention: Media coverage of negative campaign messages. Party Politics. 25(3). 412–423. 48 indexed citations
15.
Ecker, Alejandro, Thomas M. Meyer, & Wolfgang C. Müller. (2015). The distribution of individual cabinet positions in coalition governments: A sequential approach. European Journal of Political Research. 54(4). 802–818. 35 indexed citations
16.
Meyer, Thomas M. & Markus Wagner. (2015). Issue Engagement in Election Campaigns The Impact of Electoral Incentives and Organizational Constraints. Political Science Research and Methods. 4(3). 555–571. 41 indexed citations
17.
Wagner, Markus & Thomas M. Meyer. (2015). Negative Issue Ownership. West European Politics. 38(4). 797–816. 9 indexed citations
18.
Meyer, Thomas M.. (2014). The Origins of Leo Strauss’s Political Philosophy. Idealistic Studies. 44(2). 209–223. 1 indexed citations
19.
Meyer, Thomas M.. (2011). Theorie der Sozialen Demokratie. VS Verlag für Sozialwissenschaften eBooks. 3 indexed citations
20.
Steinmetz, Ralf & Thomas M. Meyer. (2005). Modelling Distributed Multimedia Applications. 337–349. 1 indexed citations

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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