Daniel Susser

974 citations
24 papers · 454 indexed · h-index 9
Topics
Ethics and Social Impacts of AI (13 papers)Privacy, Security, and Data Protection (10 papers)Social Media and Politics (5 papers)
Journals
SHILAP Revista de lepidopterologíaThe Hastings Center ReportSurveillance & Society

In The Last Decade

Daniel Susser

21 papers receiving 428 citations

Peers

Daniel Susser
Comparison fields: 5 of 82
  • Sociology and Political Science 225
  • Safety Research 165
  • Artificial Intelligence 97
  • Cognitive Neuroscience 89
  • Information Systems 64
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
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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-authorship network of co-authors of Daniel Susser

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Susser. A scholar is included among the top collaborators of Daniel Susser based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Susser. Daniel Susser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 9
3 1
4 1
5 3
6 9
7 15
8 3
9 0
10 3
11 1
12 1
13 10
14
Online Manipulation: Hidden Influences in a Digital World
19
15 171
16 137
17 7
18 4
19 1
20 3

About Daniel Susser

Daniel Susser is a scholar working on Health Informatics, Safety Research 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) and Social Media and Politics (5 papers). The work is most often cited by research in Safety Research (165 citations), Health Informatics (21 citations) and Communication (40 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, Daniel Schiff, Jennifer K. Wagner, Megan Doerr, Matteo Bonotti, Anne Barnhill and Kristin M. Kostick. Their work appears in journals such as SHILAP Revista de lepidopterología, The Hastings Center Report and Surveillance & 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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