Daniel Sturman

723 citations
32 papers · 498 · h-index 10

Impact in

Papers in

    • Human-Automation Interaction and Safety 9
    • Deception detection and forensic psychology 4
    • Spam and Phishing Detection 7
    • Information and Cyber Security 3

Daniel Sturman

30 papers receiving 477 citations

Peers

Daniel Sturman
Comparison fields: 5 of 91
  • Human-Computer Interaction 69
  • Information Systems 124
  • Experimental and Cognitive Psychology 63
  • Clinical Psychology 95
  • Information Systems and Management 34
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Citations per year

Countries citing papers authored by Daniel Sturman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sturman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015214
2 201742
3 201836
4 202022
5 201917
6 201917
7 201816
8 202215
9 202213
10 201913
11 20199
12
Perceived utility and feasibility of wearable technologies in higher education
20169
13 20238
14 20198
15 20207
16 20227
17 20247
18 20196
19 20245
20 20245

About Daniel Sturman

Daniel Sturman is a scholar working on Social Psychology, Information Systems, Sociology and Political Science, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 32 papers that have together received 498 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (9 papers), Spam and Phishing Detection (7 papers), Neural and Behavioral Psychology Studies (5 papers), Eating Disorders and Behaviors (4 papers), Deception detection and forensic psychology (4 papers), Misinformation and Its Impacts (4 papers), Evolutionary Psychology and Human Behavior (3 papers) and Information and Cyber Security (3 papers). The work is most often cited by research in Human-Computer Interaction (69 citations), Information Systems (124 citations), Experimental and Cognitive Psychology (63 citations), Clinical Psychology (95 citations) and Information Systems and Management (34 citations). Daniel Sturman has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Matt Bower, Jaime C. Auton, Mark W. Wiggins, Kevin R. Brooks, Ian D. Stephen, Richard J. Stevenson, Jonathan Mond, Shayne Loft, William S. Helton and Piers Bayl‐Smith. Their work appears in journals such as Applied Ergonomics, Frontiers in Psychology, Scientific Reports, Computers & Security and Human Factors The Journal of the Human Factors and Ergonomics 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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