Micha Germann

684 citations
22 papers · 383 indexed · h-index 12

Micha Germann

21 papers receiving 357 citations

Peers

Micha Germann
Comparison fields: 5 of 42
  • Communication 144
  • Political Science and International Relations 241
  • Sociology and Political Science 165
  • Artificial Intelligence 114
  • Public Administration 8
Replace Espen Geelmuyden Rød with:
Espen Geelmuyden Rød Sweden
Asimina Michailidou Norway
Stefan Marschall Germany
Elena Pavan Italy
Chris Tenove Canada
Catie Snow Bailard United States
Camilo Cristancho Spain
Mihkel Solvak Estonia
Yanina Welp Switzerland
Jeremy Crump United Kingdom
Micha Germann relative to Espen Geelmuyden Rød Sweden Espen Geelmuyden Rød's profile →
Citations per field
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Espen Geelmuyden Rød · 1×
Citations per year

Countries citing papers authored by Micha Germann

Since Specialization
Citations

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

Fields of papers citing papers by Micha Germann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 12 scholars most cited alongside Micha Germann, 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 Micha Germann Line = papers co-authored together Micha Germann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20240
3 20235
4 202218
5 20224
6 20221
7 20216
8 202118
9 202024
10 202012
11 201829
12 201763
13 201632
14 201527
15 201524
16 20146
17 201420
18 201442
19 20125
20
[A simple method for the standardization of clinical photography in periodontia].
19713

About Micha Germann

Micha Germann is a scholar working on Communication, Political Science and International Relations, Anatomy, Development and Sociology and Political Science, having authored 22 papers that have together received 383 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (15 papers), Social Media and Politics (10 papers), Media Influence and Politics (3 papers), Political Conflict and Governance (3 papers), Political Systems and Governance (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Gender Politics and Representation (2 papers) and European Union Policy and Governance (1 paper). The work is most often cited by research in Communication (144 citations), Political Science and International Relations (241 citations), Sociology and Political Science (165 citations), Artificial Intelligence (114 citations) and Public Administration (8 citations). Micha Germann has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Uwe Serdült, Fernando Mendez, Nicholas Sambanis, Kostas Gemenis, Jonathan Wheatley, Sofie Mariën, Adrian Vatter, Julian Bernauer, Marc Bühlmann and Peter B. Rønne. Their work appears in journals such as British Journal of Political Science, Political Communication, European Political Science Review, International Organization and Acta Politica.

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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