Avneesh Sud

2.1k total citations · 1 hit paper
43 papers, 1.3k citations indexed

About

Avneesh Sud is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Avneesh Sud has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 18 papers in Computer Graphics and Computer-Aided Design and 9 papers in Computational Mechanics. Recurrent topics in Avneesh Sud's work include Computational Geometry and Mesh Generation (13 papers), Computer Graphics and Visualization Techniques (11 papers) and Advanced Vision and Imaging (10 papers). Avneesh Sud is often cited by papers focused on Computational Geometry and Mesh Generation (13 papers), Computer Graphics and Visualization Techniques (11 papers) and Advanced Vision and Imaging (10 papers). Avneesh Sud collaborates with scholars based in United States, Italy and United Kingdom. Avneesh Sud's co-authors include Dinesh Manocha, Naga K. Govindaraju, Russell Gayle, Kyle Genova, Ming C. Lin, Forrester Cole, Thomas Funkhouser, Aaron Sarna, Miguel Á. Otaduy and Erik C. Andersen and has published in prestigious journals such as Scientific Reports, ACM Transactions on Graphics and Computer Graphics Forum.

In The Last Decade

Avneesh Sud

40 papers receiving 1.2k citations

Hit Papers

Local Deep Implicit Functions for 3D Shape 2020 2026 2022 2024 2020 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Local Deep Implicit Functions for 3D Shape
    2020 229 citations Kyle Genova, Forrester Cole et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Avneesh Sud United States 19 882 524 412 196 177 43 1.3k
Tokiichiro Takahashi Japan 13 764 0.9× 731 1.4× 525 1.3× 195 1.0× 46 0.3× 83 1.4k
Sung‐Eui Yoon South Korea 32 2.1k 2.3× 1.2k 2.3× 598 1.5× 220 1.1× 65 0.4× 148 2.7k
Philip M. Hubbard United States 12 785 0.9× 694 1.3× 250 0.6× 182 0.9× 37 0.2× 18 1.2k
Vivek Kwatra United States 14 2.8k 3.2× 1.1k 2.1× 604 1.5× 108 0.6× 49 0.3× 23 3.2k
James T. Klosowski United States 17 1.3k 1.4× 907 1.7× 329 0.8× 166 0.8× 36 0.2× 35 1.9k
Zulfiqar Habib Pakistan 24 1.1k 1.2× 189 0.4× 336 0.8× 226 1.2× 44 0.2× 85 1.6k
Sudhir P. Mudur Canada 18 465 0.5× 324 0.6× 310 0.8× 128 0.7× 17 0.1× 115 993
Guodong Rong United States 12 286 0.3× 269 0.5× 163 0.4× 100 0.5× 28 0.2× 16 752
Johannes Behr Germany 15 913 1.0× 1.1k 2.0× 1.1k 2.7× 68 0.3× 19 0.1× 45 2.0k
George Vogiatzis United Kingdom 19 1.7k 1.9× 634 1.2× 372 0.9× 69 0.4× 50 0.3× 39 2.1k

Countries citing papers authored by Avneesh Sud

Since Specialization
Citations

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

Fields of papers citing papers by Avneesh Sud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Avneesh Sud

This figure shows the co-authorship network connecting the top 25 collaborators of Avneesh Sud. A scholar is included among the top collaborators of Avneesh Sud 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 Avneesh Sud. Avneesh Sud 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
1.
2.
Cazenavette, George, Avneesh Sud, Thomas Leung, & Ben Usman. (2024). FakeInversion: Learning to Detect Images from Unseen Text-to-Image Models by Inverting Stable Diffusion. 10759–10769. 6 indexed citations
3.
Hu, Bo, Bryan Seybold, Shan Yang, et al.. (2023). 3D mouse pose from single-view video and a new dataset. Scientific Reports. 13(1). 13554–13554. 2 indexed citations
4.
Cole, Forrester, Kyle Genova, Avneesh Sud, Daniel Vlasic, & Zhoutong Zhang. (2021). Differentiable Surface Rendering via Non-Differentiable Sampling. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 6068–6077. 30 indexed citations
5.
Genova, Kyle, Forrester Cole, Avneesh Sud, Aaron Sarna, & Thomas Funkhouser. (2020). Local Deep Implicit Functions for 3D Shape. 4856–4865. 229 indexed citations breakdown →
6.
Genova, Kyle, Forrester Cole, Avneesh Sud, Aaron Sarna, & Thomas Funkhouser. (2019). Deep Structured Implicit Functions. arXiv (Cornell University). 10 indexed citations
7.
Govindaraju, Naga K., Avneesh Sud, Sung‐Eui Yoon, & Dinesh Manocha. (2011). Parallel Occlusion Culling for InteractiveWalkthroughs using Multiple GPUs. KAIST Institutional Repository (KAIST). 115(3). 605–10.
8.
Sud, Avneesh, et al.. (2010). Fast Dynamic Voronoi Treemaps. 21 indexed citations
9.
Kim, Theodore, et al.. (2007). Fast Simulation of Laplacian Growth. IEEE Computer Graphics and Applications. 27(2). 68–76. 6 indexed citations
10.
Gayle, Russell, Stéphane Redon, Avneesh Sud, Ming C. Lin, & Dinesh Manocha. (2007). Efficient Motion Planning of Highly Articulated Chains using Physics-based Sampling. Proceedings - IEEE International Conference on Robotics and Automation/Proceedings. 3319–3326. 17 indexed citations
11.
Sud, Avneesh, Naga K. Govindaraju, Russell Gayle, Erik C. Andersen, & Dinesh Manocha. (2007). Surface distance maps. 35–35. 4 indexed citations
12.
Sud, Avneesh, Erik C. Andersen, Sean Curtis, Ming C. Lin, & Dinesh Manocha. (2007). Real-time Path Planning for Virtual Agents in Dynamic Environments. 91–98. 66 indexed citations
13.
Manocha, Dinesh & Avneesh Sud. (2006). Efficient computation of discrete voronoi diagram and homotopy-preserving simplified medial axis of a three-dimensional polyhedron. 1 indexed citations
14.
Sud, Avneesh, et al.. (2006). Fast proximity computation among deformable models using discrete Voronoi diagrams. ACM Transactions on Graphics. 25(3). 1144–1153. 61 indexed citations
15.
Sud, Avneesh, et al.. (2006). Fast proximity computation among deformable models using discrete voronoi diagrams. 176–176. 18 indexed citations
16.
Otaduy, Miguel Á., Nitin Jain, Avneesh Sud, & Ming C. Lin. (2005). Haptic display of interaction between textured models. 133–133. 40 indexed citations
17.
Otaduy, Miguel Á., Nitin Jain, Avneesh Sud, & Ming C. Lin. (2004). Haptic rendering of interaction between textured models. 46–46. 3 indexed citations
18.
Govindaraju, Naga K., Avneesh Sud, Russell Gayle, et al.. (2004). Accelerating Line of Sight Computation Using Graphics Processing Units. Defense Technical Information Center (DTIC). 13 indexed citations
19.
Govindaraju, Naga K., Brandon Lloyd, Sung‐Eui Yoon, Avneesh Sud, & Dinesh Manocha. (2003). Interactive shadow generation in complex environments. 501–510. 26 indexed citations
20.
Baxter, William, Avneesh Sud, Naga K. Govindaraju, & Dinesh Manocha. (2002). GigaWalk: interactive walkthrough of complex environments. 203–214. 62 indexed citations

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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