Philipp Lorenz-Spreen

28 papers receiving 1.1k citations

Philipp Lorenz-Spreen's Hit Papers

A systematic review of worldwide causal and correlational evidence on digital media and democracy 2022 · 137 citations
1370+2+4Years since publication50100150200

Peers

Philipp Lorenz-Spreen
Comparison fields: 5 of 103
  • Communication 347
  • Statistical and Nonlinear Physics 356
  • Sociology and Political Science 704
  • General Decision Sciences 17
  • Safety Research 72
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Countries citing papers authored by Philipp Lorenz-Spreen

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Lorenz-Spreen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philipp Lorenz-Spreen. 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 Philipp Lorenz-Spreen. The network helps show where Philipp Lorenz-Spreen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Modeling Echo Chambers and Polarization Dynamics in Social Networks
Hit paper breakdown →
2020229
2 2019138
3
A systematic review of worldwide causal and correlational evidence on digital media and democracy
Hit paper breakdown →
2022137
4 2020134
5 202172
6 202364
7 202051
8 202150
9 202133
10 202328
11 202325
12 202124
13 202122
14 202220
15 202317
16 202417
17 202213
18 201811
19 202310
20 20209

About Philipp Lorenz-Spreen

Philipp Lorenz-Spreen is a scholar working on Sociology and Political Science, Communication, Statistical and Nonlinear Physics, Artificial Intelligence and Information Systems, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (18 papers), Social Media and Politics (13 papers), Opinion Dynamics and Social Influence (12 papers), Complex Network Analysis Techniques (7 papers), Hate Speech and Cyberbullying Detection (6 papers), Spam and Phishing Detection (2 papers), Psychology of Moral and Emotional Judgment (2 papers) and Media Influence and Politics (2 papers). The work is most often cited by research in Communication (347 citations), Statistical and Nonlinear Physics (356 citations), Sociology and Political Science (704 citations), General Decision Sciences (17 citations) and Safety Research (72 citations). Philipp Lorenz-Spreen has collaborated with scholars based in Germany, Australia and United Kingdom. Frequent co-authors include Ralph Hertwig, Stephan Lewandowsky, Fabian Baumann, Michele Starnini, Igor M. Sokolov, Stefan M. Herzog, Lisa Oswald, Philipp Hövel, Sune Lehmann and Bjarke Mønsted. Their work appears in journals such as Scientific Reports, Nature Human Behaviour, Proceedings of the National Academy of Sciences, Humanities and Social Sciences Communications and Nature Communications.

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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