Christopher Flathmann

39 papers receiving 533 citations

Peers

Christopher Flathmann
Comparison fields: 5 of 49
  • Health Informatics 56
  • Safety Research 202
  • Social Psychology 286
  • Management Information Systems 47
  • Artificial Intelligence 159
Replace Beau G. Schelble with:
Beau G. Schelble United States
Zana Buçinca United States
Theresa T. Kessler United States
Geoff Musick United States
Leah Chong United States
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Suzanne Tolmeijer Switzerland
Benedikt Leichtmann Germany
Robert H. Wortham United Kingdom
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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 24 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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202286
2 202345
3 202341
4 202340
5 202129
6 202027
7 202327
8 202323
9 202221
10 202418
11 202417
12 202316
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15 202213
16 202412
17 202311
18 201910
19 20199
20 20258

About Christopher Flathmann

Christopher Flathmann is a scholar working on Social Psychology, Safety Research, Artificial Intelligence, Management Information Systems and Control and Systems Engineering, having authored 43 papers that have together received 547 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (27 papers), Team Dynamics and Performance (17 papers), Ethics and Social Impacts of AI (16 papers), Systems Engineering Methodologies and Applications (4 papers), Big Data and Business Intelligence (4 papers), Occupational Health and Safety Research (3 papers), AI in Service Interactions (3 papers) and Innovative Teaching and Learning Methods (3 papers). The work is most often cited by research in Health Informatics (56 citations), Safety Research (202 citations), Social Psychology (286 citations), Management Information Systems (47 citations) and Artificial Intelligence (159 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, Wen Duan, Eduardo Salas, Bart P. Knijnenburg, Kapil Chalil Madathil, Rui Zhang and Patrick J. Rosopa. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Computers in Human Behavior, International Journal of Human-Computer Interaction, International Journal of Human-Computer Studies and Behaviour and Information Technology.

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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