Christopher Flathmann

745 citations
38 papers · 425 · h-index 13

Impact in

Papers in

Christopher Flathmann

34 papers receiving 413 citations

Peers

Christopher Flathmann
Comparison fields: 5 of 46
  • Health Informatics 51
  • Safety Research 188
  • Social Psychology 259
  • Management Information Systems 41
  • Artificial Intelligence 145
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Beau G. Schelble United States
Zana Buçinca United States
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Suzanne Tolmeijer Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Christopher Flathmann

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Flathmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Christopher Flathmann, 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 Christopher Flathmann Line = papers co-authored together Christopher Flathmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202270
2 202336
3 202335
4 202332
5 202127
6 202326
7 202024
8 202318
9 202216
10 202313
11 202313
12 202313
13 202412
14 20249
15 20229
16 20199
17 20239
18 20198
19 20216
20 20245

About Christopher Flathmann

Christopher Flathmann is a scholar working on Social Psychology, Safety Research, Artificial Intelligence, Management Information Systems and Cognitive Neuroscience, having authored 38 papers that have together received 425 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (27 papers), Team Dynamics and Performance (16 papers), Ethics and Social Impacts of AI (16 papers), Big Data and Business Intelligence (4 papers), Psychology of Moral and Emotional Judgment (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Systems Engineering Methodologies and Applications (3 papers) and Occupational Health and Safety Research (3 papers). The work is most often cited by research in Health Informatics (51 citations), Safety Research (188 citations), Social Psychology (259 citations), Management Information Systems (41 citations) and Artificial Intelligence (145 citations). Christopher Flathmann has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Nathan J. McNeese, Beau G. Schelble, Guo Freeman, Tom O’Neill, Eduardo Salas, Bart P. Knijnenburg, Kapil Chalil Madathil, Rui Zhang, Patrick J. Rosopa and Richard Pak. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, International Journal of Human-Computer Interaction, Computers in Human Behavior, Behaviour and Information Technology and International Journal of Human-Computer Studies.

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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