Robert Kooima

20 papers receiving 269 citations

Peers

Robert Kooima
Comparison fields: 5 of 61
  • Human-Computer Interaction 121
  • Media Technology 127
  • Acoustics and Ultrasonics 9
  • Computer Graphics and Computer-Aided Design 36
  • Computer Vision and Pattern Recognition 94
Replace Javier Girado with:
Javier Girado United States
Sebastian Friston United Kingdom
Fabio Bettio Italy
Evgeniy Upenik Switzerland
Silvia Mabel Castro Argentina
Vamsi Kiran Adhikarla Hungary
Tianyu Huang United States
Guibiao Liao China
Kyoung Shin Park South Korea
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Robert Kooima relative to Javier Girado United States Javier Girado's profile →
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Countries citing papers authored by Robert Kooima

Since Specialization
Citations

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

Fields of papers citing papers by Robert Kooima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200878
2 201850
3 200723
4 201518
5 200918
6 200718
7 201016
8 201314
9 201712
10 20109
11 20066
12 19975
13
Emerging from the CAVE: Collaboration in Ultra High Resolution Environments
20075
14 20075
15 20074
16
LARGE SCALE PROBLEM SOLVING USING AUTOMATIC CODE GENERATION AND DISTRIBUTED VISUALIZATION
20102
17 20092
18 20142
19 20191
20 20101

About Robert Kooima

Robert Kooima is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Cognitive Neuroscience, having authored 22 papers that have together received 289 indexed citations. Recurring topics across this work include Advanced Optical Imaging Technologies (7 papers), Advanced Vision and Imaging (7 papers), Computer Graphics and Visualization Techniques (7 papers), Virtual Reality Applications and Impacts (4 papers), 3D Shape Modeling and Analysis (3 papers), Interactive and Immersive Displays (3 papers), Visual perception and processing mechanisms (3 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Human-Computer Interaction (121 citations), Media Technology (127 citations), Acoustics and Ultrasonics (9 citations), Computer Graphics and Computer-Aided Design (36 citations) and Computer Vision and Pattern Recognition (94 citations). Robert Kooima has collaborated with scholars based in United States, Saudi Arabia and Australia. Frequent co-authors include Thomas A. DeFanti, Daniel J. Sandin, Andrew Johnson, Jason Leigh, Yimin Zhu, Astrid Roetzel, Tracey E. Rizzuto, Javier Girado, Jürgen P. Schulze and Tom Peterka. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Future Generation Computer Systems, Journal of Building Engineering, Computing in Science & Engineering and Lecture notes in computer science.

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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