Robert C. Zeleznik

65 papers receiving 2.8k citations

Peers

Robert C. Zeleznik
Comparison fields: 5 of 91
  • Human-Computer Interaction 1.9k
  • Computer Vision and Pattern Recognition 1.7k
  • Computer Graphics and Computer-Aided Design 762
  • Cognitive Neuroscience 722
  • Computational Mechanics 405
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Citations per field
00.5×4.7×
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Citations per year

Countries citing papers authored by Robert C. Zeleznik

Since Specialization
Citations

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

Fields of papers citing papers by Robert C. Zeleznik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert C. Zeleznik

This figure shows the co-authorship network connecting the top 25 collaborators of Robert C. Zeleznik. A scholar is included among the top collaborators of Robert C. Zeleznik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert C. Zeleznik. Robert C. Zeleznik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 9
3 34
4 118
5 91
6 5
7
Evaluation of techniques for visualizing mathematical expression recognition results
6
8 34
9 96
10
Fluid inking: augmenting the medium of free-form inking with gestures
26
11
Characterizing the Effect of Level of Immersion on a 3D Marking Task
9
12
Particle flurries
6
13 30
14
Pop through button devices for VE navigation and interaction
1
15 162
16 49
17 48
18 23
19
Practically Frameless Rendering
1
20 34

About Robert C. Zeleznik

Robert C. Zeleznik is a scholar working on Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 65 papers that have together received 3.1k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (34 papers), Tactile and Sensory Interactions (21 papers) and Augmented Reality Applications (20 papers). The work is most often cited by research in Human-Computer Interaction (1.9k citations), Computer Graphics and Computer-Aided Design (762 citations) and Computer Vision and Pattern Recognition (1.7k citations). Robert C. Zeleznik has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Kenneth P. Herndon, John F. Hughes, Joseph J. LaViola, Andrew Forsberg, Daniel F. Keefe, Timothy S. Miller, Andries van Dam, Daniel C. Robbins, Andrew Bragdon and Scott S. Snibbe. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and IEEE Transactions on Visualization and Computer Graphics.

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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