Daniel Susser

21 papers receiving 428 citations

Peers

Daniel Susser
Comparison fields: 5 of 82
  • Safety Research 165
  • Health Informatics 21
  • Communication 40
  • Human-Computer Interaction 31
  • Sociology and Political Science 225
Replace Catherine Flick with:
Catherine Flick United Kingdom
Danaë Metaxa United States
Maurice Jakesch United States
Hyesun Choung United States
Anton Vedder Netherlands
Amirhossein Aleyasen United States
Mark Díaz United States
Kanta Dihal United Kingdom
Janghee Cho United States
Bart Schermer Netherlands
Daniel Susser relative to Catherine Flick United Kingdom Catherine Flick's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Susser

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Susser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019171
2 2018137
3 201935
4
Online Manipulation: Hidden Influences in a Digital World
201919
5 202315
6 201913
7 201910
8 20249
9 20239
10 20167
11 20164
12 20204
13 20233
14 20223
15 20153
16 20223
17 20193
18 20251
19 20241
20 20241

About Daniel Susser

Daniel Susser is a scholar working on Sociology and Political Science, Safety Research, Artificial Intelligence, Cognitive Neuroscience and Communication, having authored 24 papers that have together received 454 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (13 papers), Privacy, Security, and Data Protection (10 papers), Social Media and Politics (5 papers), Privacy-Preserving Technologies in Data (5 papers), Artificial Intelligence in Healthcare and Education (3 papers), Hate Speech and Cyberbullying Detection (3 papers), Patient Dignity and Privacy (3 papers) and Misinformation and Its Impacts (2 papers). The work is most often cited by research in Safety Research (165 citations), Health Informatics (21 citations), Communication (40 citations), Human-Computer Interaction (31 citations) and Sociology and Political Science (225 citations). Daniel Susser has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Beate Roessler, Helen Nissenbaum, Laura Y. Cabrera, Sarah Rajtmajer, Megan Doerr, Michelle N. Meyer, Kristin M. Kostick, Jennifer K. Wagner, Anne Barnhill and Matteo Bonotti. Their work appears in journals such as Internet Policy Review, Ethical Theory and Moral Practice, Surveillance & Society, The Hastings Center Report and Journal of Information Policy.

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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