Daniel Kreiss

4.4k citations
64 papers · 2.0k · 1 hit paper · h-index 21

Impact in

Papers in

Daniel Kreiss

59 papers receiving 1.9k citations

Daniel Kreiss's Hit Papers

A review and provocation: On polarization and platforms 2023 · 56 citations
560+1+2Years since publication1020304050

Peers

Daniel Kreiss
Comparison fields: 5 of 74
  • Communication 1.4k
  • Political Science and International Relations 522
  • Sociology and Political Science 911
  • Gender Studies 181
  • Artificial Intelligence 325
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Citations per year

Countries citing papers authored by Daniel Kreiss

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kreiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014208
2 2017202
3 2017181
4 2012163
5 2020140
6 2016133
7 201093
8
Prototype Politics: Technology-Intensive Campaigning and the Data of Democracy
201659
9
A review and provocation: On polarization and platforms
Hit paper breakdown →
202356
10 201953
11 201652
12 202049
13 202147
14 202340
15 201636
16 201335
17 201934
18 201725
19 201722
20 201720

About Daniel Kreiss

Daniel Kreiss is a scholar working on Communication, Sociology and Political Science, Political Science and International Relations, Artificial Intelligence and Philosophy, having authored 64 papers that have together received 2.0k indexed citations. Recurring topics across this work include Social Media and Politics (42 papers), Media Studies and Communication (22 papers), Electoral Systems and Political Participation (10 papers), Hate Speech and Cyberbullying Detection (8 papers), Rhetoric and Communication Studies (6 papers), Populism, Right-Wing Movements (5 papers), Social and Cultural Dynamics (5 papers) and Gender, Feminism, and Media (4 papers). The work is most often cited by research in Communication (1.4k citations), Political Science and International Relations (522 citations), Sociology and Political Science (911 citations), Gender Studies (181 citations) and Artificial Intelligence (325 citations). Daniel Kreiss has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Shannon C. McGregor, Regina G. Lawrence, Alice Marwick, Deen Freelon, Fred Turner, Megan Finn, Sarah J. Jackson, Philip N. Howard, C. W. Anderson and Rachel Kuo. Their work appears in journals such as Political Communication, New Media & Society, International journal of communication, Journal of Information Technology & Politics and Social Media + Society.

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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