Christopher Mann

37 papers receiving 620 citations

Peers

Christopher Mann
Comparison fields: 5 of 100
  • Communication 126
  • Political Science and International Relations 207
  • Sociology and Political Science 214
  • Safety Research 38
  • Reproductive Medicine 28
Replace Akira Ninomiya with:
Akira Ninomiya Japan
Catherine Bromley United Kingdom
Ekin Seçinti United States
Justin Oakley Australia
Anna Winterbottom United Kingdom
Sonja Erikainen United Kingdom
Amy Shields Dobson Australia
Xiying Wang China
David Weaver United States
Ana Cristina Santos Portugal
Christopher Mann relative to Akira Ninomiya Japan Akira Ninomiya's profile →
Citations per field
00.5×3.5×
Akira Ninomiya · 1×
Citations per year

Countries citing papers authored by Christopher Mann

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Mann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Christopher Mann, 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 Christopher Mann Line = papers co-authored together Christopher Mann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201081
2 201069
3 202158
4 202050
5 201337
6 202035
7 202032
8 201424
9 202222
10 201921
11 201120
12 200519
13 200517
14 201815
15 202014
16 201913
17 201513
18 201413
19 202012
20 202311

About Christopher Mann

Christopher Mann is a scholar working on Political Science and International Relations, Communication, Sociology and Political Science, Artificial Intelligence and Psychiatry and Mental health, having authored 40 papers that have together received 660 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (17 papers), Social Media and Politics (15 papers), Media Influence and Politics (6 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Attention Deficit Hyperactivity Disorder (4 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers), Opinion Dynamics and Social Influence (3 papers) and Fiscal Policies and Political Economy (2 papers). The work is most often cited by research in Communication (126 citations), Political Science and International Relations (207 citations), Sociology and Political Science (214 citations), Safety Research (38 citations) and Reproductive Medicine (28 citations). Christopher Mann has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Katja Becker, Ursula Pauli‐Pott, Donald P. Green, Costas Panagopoulos, Alan S. Gerber, Christopher W. Larimer, Lisa Bryant, Molly M. Quinn, Christopher Douglas and Roberto Cardarelli. Their work appears in journals such as Electoral Studies, European Child & Adolescent Psychiatry, Political Behavior, American Politics Research and Journal of Political Marketing.

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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