David M. Krum

1.9k citations
64 papers · 1.3k · h-index 18

Impact in

Papers in

David M. Krum

56 papers receiving 1.2k citations

Peers

David M. Krum
Comparison fields: 5 of 99
  • Human-Computer Interaction 913
  • Computer Vision and Pattern Recognition 505
  • Cognitive Neuroscience 402
  • Media Technology 136
  • Computer Graphics and Computer-Aided Design 43
Replace Sharif Razzaque with:
Sharif Razzaque United States
Kevin Arthur United States
Régis Kopper United States
Eike Langbehn Germany
Rajiv Dubey United States
Harald Frenz Germany
Pascal Knierim Germany
Christos Mousas United States
John Quarles United States
Frédéric Vexo Switzerland
David M. Krum relative to Sharif Razzaque United States Sharif Razzaque's profile →
Citations per field
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Sharif Razzaque · 1×
Citations per year

Countries citing papers authored by David M. Krum

Since Specialization
Citations

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

Fields of papers citing papers by David M. Krum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Krum. 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 David M. Krum. The network helps show where David M. Krum may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012150
2 2012143
3 2011140
4 2011125
5 200260
6 202055
7 201244
8 200741
9 201138
10 200234
11 200233
12 201233
13 200232
14 201732
15 201626
16 201124
17 200023
18 201222
19 201715
20 200814

About David M. Krum

David M. Krum is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Social Psychology and Artificial Intelligence, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (27 papers), Interactive and Immersive Displays (14 papers), Tactile and Sensory Interactions (14 papers), Augmented Reality Applications (13 papers), Visual perception and processing mechanisms (7 papers), Human-Automation Interaction and Safety (7 papers), Advanced Optical Imaging Technologies (6 papers) and Hand Gesture Recognition Systems (6 papers). The work is most often cited by research in Human-Computer Interaction (913 citations), Computer Vision and Pattern Recognition (505 citations), Cognitive Neuroscience (402 citations), Media Technology (136 citations) and Computer Graphics and Computer-Aided Design (43 citations). David M. Krum has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Mark Bolas, Evan A. Suma, Larry F. Hodges, William Ribarsky, Belinda Lange, Albert Rizzo, Stanley M. Finkelstein, Gerd Bruder, Frank Steinicke and A. Fleming Seay. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications, ACM Transactions on Applied Perception, Computers & Graphics and Frontiers in Psychology.

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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