Cullen D. Jackson

28 papers receiving 367 citations

Peers

Cullen D. Jackson
Comparison fields: 5 of 101
  • Computer Graphics and Computer-Aided Design 85
  • Human-Computer Interaction 89
  • Health Informatics 20
  • Computer Vision and Pattern Recognition 200
  • Cognitive Neuroscience 49
Replace Santiago González Izard with:
Santiago González Izard Spain
Torsten Ullrich Austria
Andreas Simon Germany
Silvio Rizzi United States
Shujie Deng United Kingdom
Monique Meuschke Germany
Jaime Gallego Spain
Giovanni Pintore Italy
He Zhu China
Carol Hunter Australia
Cullen D. Jackson relative to Santiago González Izard Spain Santiago González Izard's profile →
Citations per field
00.5×4.3×
Santiago González Izard · 1×
Citations per year

Countries citing papers authored by Cullen D. Jackson

Since Specialization
Citations

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

Fields of papers citing papers by Cullen D. Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cullen D. Jackson. 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 Cullen D. Jackson. The network helps show where Cullen D. Jackson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004112
2 200662
3 201924
4 198624
5 202423
6 200822
7 202020
8 200314
9 201812
10 200312
11 202210
12 20197
13 20037
14 20086
15 20246
16 20214
17 20233
18 20113
19 20232
20 20252

About Cullen D. Jackson

Cullen D. Jackson is a scholar working on Computer Vision and Pattern Recognition, Surgery, Human-Computer Interaction, Social Psychology and Control and Systems Engineering, having authored 31 papers that have together received 388 indexed citations. Recurring topics across this work include Surgical Simulation and Training (6 papers), Virtual Reality Applications and Impacts (5 papers), Data Visualization and Analytics (4 papers), Human-Automation Interaction and Safety (3 papers), Computer Graphics and Visualization Techniques (3 papers), Augmented Reality Applications (3 papers), Simulation-Based Education in Healthcare (2 papers) and Human Motion and Animation (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (85 citations), Human-Computer Interaction (89 citations), Health Informatics (20 citations), Computer Vision and Pattern Recognition (200 citations) and Cognitive Neuroscience (49 citations). Cullen D. Jackson has collaborated with scholars based in United States, Italy and China. Frequent co-authors include David H. Laidlaw, M. J. Tarr, Robert M. Kirby, James S. Davidson, Timothy S. Miller, W. H. Warren, Çağatay Demiralp, Daniel Acevedo, Daniel F. Keefe and Sudeep Hegde. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Journal of Cardiothoracic and Vascular Anesthesia, Surgical Endoscopy, Applied Ergonomics and The American Journal of Gastroenterology.

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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