Anjul Patney

35 papers receiving 1.4k citations

Hit Papers

Towards foveated rendering for gaze-tracked virtual reality20162026201920222016100200300

Peers

Anjul Patney
Comparison fields: 5 of 95
  • Computer Vision and Pattern Recognition 838
  • Computer Graphics and Computer-Aided Design 463
  • Human-Computer Interaction 446
  • Computational Mechanics 232
  • Cognitive Neuroscience 227
Replace Chris Wyman with:
Chris Wyman United States
Morgan McGuire United States
Anton Kaplanyan Germany
Bo Sun China
Hendrik P. A. Lensch Germany
Michael F. Deering United States
Xiaowu Chen China
Rafał Mantiuk United Kingdom
Matthias B. Hullin Germany
Vincent Sitzmann United States
Anjul Patney relative to Chris Wyman United States Chris Wyman's profile →
Citations per field
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Chris Wyman · 1×
Citations per year

Countries citing papers authored by Anjul Patney

Since Specialization
Citations

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

Fields of papers citing papers by Anjul Patney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anjul Patney

This figure shows the co-authorship network connecting the top 25 collaborators of Anjul Patney. A scholar is included among the top collaborators of Anjul Patney 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 Anjul Patney. Anjul Patney 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 8
2 96
3 3
4 27
5 1
6
Semi-Supervised StyleGAN for Disentanglement Learning
18
7 13
8
Proceedings of High Performance Graphics
2
9 138
10 81
11 12
12
Maximal Poisson-Disk Sampling.
0
13 13
14 75
15 55
16 21
17 1
18 20
19 25
20 7

About Anjul Patney

Anjul Patney is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (13 papers), Computational Geometry and Mesh Generation (10 papers) and Visual Attention and Saliency Detection (9 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (463 citations), Human-Computer Interaction (446 citations) and Computer Vision and Pattern Recognition (838 citations). Anjul Patney has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include John D. Owens, David Luebke, Joohwan Kim, Anton Kaplanyan, Aaron Lefohn, Marco Salvi, Chris Wyman, Mohamed S. Ebeida, Scott A. Mitchell and Andrew Davidson. Their work appears in journals such as IEEE Transactions on Image Processing, ACM Transactions on Graphics and International Journal for Numerical Methods in Engineering.

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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