Daniel Sturman

723 citations
30 papers · 434 · h-index 10

Impact in

Papers in

Daniel Sturman

29 papers receiving 417 citations

Peers

Daniel Sturman
Comparison fields: 5 of 86
  • Human-Computer Interaction 51
  • Clinical Psychology 94
  • Experimental and Cognitive Psychology 60
  • Information Systems and Management 29
  • Information Systems 87
Replace Heidi M. Weeks with:
Heidi M. Weeks United States
Li Cheng United States
Kirsikka Kaipainen Finland
Oronzo Parlangeli Italy
Olga Mégalakaki France
Pamela Schraedley United States
Robert R. Morris United States
Charlotte D. W. Vinkers Netherlands
Sandra Roth Switzerland
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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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015164
2 201742
3 201836
4 202022
5 201916
6 201816
7 201916
8 202214
9 202213
10 201913
11 20199
12 20238
13 20198
14 20227
15 20247
16 20196
17
Perceived utility and feasibility of wearable technologies in higher education
20166
18 20245
19 20245
20 20204

About Daniel Sturman

Daniel Sturman is a scholar working on Social Psychology, Sociology and Political Science, Information Systems, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 30 papers that have together received 434 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (9 papers), Neural and Behavioral Psychology Studies (5 papers), Spam and Phishing Detection (5 papers), Eating Disorders and Behaviors (4 papers), Evolutionary Psychology and Human Behavior (3 papers), Deception detection and forensic psychology (3 papers), Misinformation and Its Impacts (3 papers) and Cognitive Functions and Memory (2 papers). The work is most often cited by research in Human-Computer Interaction (51 citations), Clinical Psychology (94 citations), Experimental and Cognitive Psychology (60 citations), Information Systems and Management (29 citations) and Information Systems (87 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, Jonathan Mond, Richard J. Stevenson, Shayne Loft, William S. Helton and Johanna Westbrook. Their work appears in journals such as Applied Ergonomics, Human Factors The Journal of the Human Factors and Ergonomics Society, Computers & Security, Frontiers in Psychology and Scientific Reports.

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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