John C. Dill

63 papers receiving 1.5k citations

Peers

John C. Dill
Comparison fields: 5 of 146
  • Human-Computer Interaction 251
  • Developmental Neuroscience 131
  • Computer Graphics and Computer-Aided Design 102
  • Computer Vision and Pattern Recognition 543
  • Cellular and Molecular Neuroscience 414
Replace Ryan J. Farrell with:
Ryan J. Farrell United States
Chenyang Si China
Ying Nian Wu United States
Liya Ding China
Richard Allen Young United States
Gal Chechik Israel
Mike Roberts United States
Fredrik Bengtsson Sweden
Kazushi Ikeda Japan
Luís Magalhães Portugal
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Citations per field
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Citations per year

Countries citing papers authored by John C. Dill

Since Specialization
Citations

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

Fields of papers citing papers by John C. Dill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Dill. 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 John C. Dill. The network helps show where John C. Dill may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011259
2 2008195
3 1996175
4 199597
5 196987
6 201076
7 200276
8 200960
9 198146
10 198139
11 200030
12 200329
13 199329
14 200328
15 200228
16 200426
17
CZWeb: Fish-Eye Views for Visualizing the World-Wide Web.
199725
18 197020
19 200719
20 200218

About John C. Dill

John C. Dill is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Computer Graphics and Computer-Aided Design, Computational Mechanics and Mechanical Engineering, having authored 66 papers that have together received 1.6k indexed citations. Recurring topics across this work include Data Visualization and Analytics (18 papers), Teleoperation and Haptic Systems (10 papers), Augmented Reality Applications (9 papers), Computer Graphics and Visualization Techniques (7 papers), 3D Shape Modeling and Analysis (7 papers), Advanced Numerical Analysis Techniques (7 papers), Surgical Simulation and Training (6 papers) and Multimedia Communication and Technology (6 papers). The work is most often cited by research in Human-Computer Interaction (251 citations), Developmental Neuroscience (131 citations), Computer Graphics and Computer-Aided Design (102 citations), Computer Vision and Pattern Recognition (543 citations) and Cellular and Molecular Neuroscience (414 citations). John C. Dill has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Shuxin Li, Shahram Payandeh, Lyn Bartram, Hongyu Wang, Feng‐Quan Zhou, Gilbert D. McCann, Robert M. Bachoo, Xiaoli Yang, Colin Swindells and Zhengping Zuo. Their work appears in journals such as IEEE Computer Graphics and Applications, Journal of Neuroscience, Robotica, Communications of the ACM and Journal of the Association for Information Systems.

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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