Pradeep Sen

4.5k total citations · 2 hit papers
78 papers, 2.9k citations indexed

About

Pradeep Sen is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Pradeep Sen has authored 78 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 35 papers in Computer Graphics and Computer-Aided Design and 25 papers in Computational Mechanics. Recurrent topics in Pradeep Sen's work include Computer Graphics and Visualization Techniques (35 papers), Advanced Vision and Imaging (35 papers) and Advanced Image Processing Techniques (17 papers). Pradeep Sen is often cited by papers focused on Computer Graphics and Visualization Techniques (35 papers), Advanced Vision and Imaging (35 papers) and Advanced Image Processing Techniques (17 papers). Pradeep Sen collaborates with scholars based in United States, India and Germany. Pradeep Sen's co-authors include Soheil Darabi, Eli Shechtman, Dan B Goldman, Nima Khademi Kalantari, Connelly Barnes, Steve Bako, Yasamin Mostofi, Michael D. Tocci, Pat Hanrahan and Maziar Yaesoubi and has published in prestigious journals such as The Astrophysical Journal, Journal of Fluid Mechanics and IEEE Transactions on Image Processing.

In The Last Decade

Pradeep Sen

75 papers receiving 2.8k citations

Hit Papers

align trajectories

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.

Image melding

2012 381 citations Soheil Darabi, Eli Shechtman et al. ACM Transactions on Graphics profile →
Robust patch-based hdr reconstruction of dynamic scenes

2012 289 citations Pradeep Sen, Nima Khademi Kalantari et al. ACM Transactions on Graphics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pradeep Sen United States	25	2.4k	931	491	458	202	78	2.9k
Ivo Ihrke Germany	21	1.1k 0.5×	467 0.5×	270 0.5×	404 0.9×	182 0.9×	61	1.6k
Wojciech Jarosz United States	34	2.0k 0.9×	2.1k 2.3×	173 0.4×	945 2.1×	123 0.6×	123	2.9k
Raja Giryes Israel	24	1.4k 0.6×	424 0.5×	325 0.7×	788 1.7×	244 1.2×	107	2.5k
Jack Tumblin United States	21	2.7k 1.2×	466 0.5×	1.3k 2.5×	203 0.4×	252 1.2×	49	3.2k
Jonas Unger Sweden	22	1.4k 0.6×	490 0.5×	259 0.5×	193 0.4×	117 0.6×	82	1.7k
Aswin C. Sankaranarayanan United States	26	1.2k 0.5×	151 0.2×	366 0.7×	647 1.4×	537 2.7×	101	2.2k
Carsten Dachsbacher Germany	31	2.2k 0.9×	2.4k 2.6×	124 0.3×	1.2k 2.6×	61 0.3×	158	3.0k
Alex Bronstein Israel	28	1.8k 0.8×	236 0.3×	291 0.6×	772 1.7×	196 1.0×	100	2.8k
S.K. Nayar United States	9	1.9k 0.8×	144 0.2×	703 1.4×	219 0.5×	120 0.6×	11	2.3k
Dmitry Ulyanov Russia	6	1.6k 0.7×	213 0.2×	441 0.9×	207 0.5×	243 1.2×	6	2.5k

Countries citing papers authored by Pradeep Sen

Since Specialization

Citations

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

Fields of papers citing papers by Pradeep Sen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradeep Sen

This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep Sen. A scholar is included among the top collaborators of Pradeep Sen 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 Pradeep Sen. Pradeep Sen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Lim, Alex, et al.. (2025). SiCo: An Interactive Size-Controllable Virtual Try-On Approach for Informed Decision-Making. 1815–1825.

2.

Huang, Tao, et al.. (2024). Appearance-Preserving Scene Aggregation for Level-of-Detail Rendering. ACM Transactions on Graphics. 44(1). 1–23. 1 indexed citations

3.

Sra, Misha, et al.. (2024). TiNO-Edit: Timestep and Noise Optimization for Robust Diffusion-Based Image Editing. 6108–6117.

4.

McCully, C., et al.. (2023). Cosmic-CoNN: A Cosmic-Ray Detection Deep-learning Framework, Data Set, and Toolkit. The Astrophysical Journal. 942(2). 73–73. 1 indexed citations

5.

Bako, Steve, Pradeep Sen, & Anton Kaplanyan. (2022). Deep Appearance Prefiltering. ACM Transactions on Graphics. 42(2). 1–23. 5 indexed citations

6.

Sen, Pradeep, et al.. (2022). Towards practical physical-optics rendering. ACM Transactions on Graphics. 41(4). 1–24. 8 indexed citations

7.

Gallo, Orazio, et al.. (2021). Binary TTC: A Temporal Geofence for Autonomous Navigation. 23 indexed citations

8.

Gallo, Orazio, et al.. (2020). Meshlet Priors for 3D Mesh Reconstruction. 2846–2855. 30 indexed citations

9.

Sen, Pradeep. (2018). Overview of State-of-the-Art Algorithms for Stack-Based High-Dynamic Range (HDR) Imaging. Electronic Imaging. 30(5). 311–1. 6 indexed citations

10.

Fragoso, Victor, et al.. (2017). GraphMatch: Efficient Large-Scale Graph Construction for Structure from Motion. 3. 165–174. 6 indexed citations

11.

Sen, Pradeep, et al.. (2016). Compressing fluid subspaces. 77–84. 3 indexed citations

12.

Wang, Yu-Xiang, Chris Wyman, Yong He, & Pradeep Sen. (2015). Decoupled coverage anti-aliasing. 33–42. 8 indexed citations

13.

Kalantari, Nima Khademi, Eli Shechtman, Soheil Darabi, Dan B Goldman, & Pradeep Sen. (2014). Improving patch-based synthesis by learning patch masks. 31. 1–8. 4 indexed citations

14.

Fragoso, Victor, et al.. (2013). EVSAC: Accelerating Hypotheses Generation by Modeling Matching Scores with Extreme Value Theory. 2472–2479. 58 indexed citations

15.

Sen, Pradeep, et al.. (2010). Compressive Rendering: A Rendering Application of Compressed Sensing. IEEE Transactions on Visualization and Computer Graphics. 17(4). 487–499. 43 indexed citations

16.

Kniss, Joe, Warren A. Hunt, Kristin Potter, & Pradeep Sen. (2007). IStar: A Raster Representation for Scalable Image and Volume Data. IEEE Transactions on Visualization and Computer Graphics. 13(6). 1424–1431. 5 indexed citations

17.

Sen, Pradeep, et al.. (2007). Organised structures in wall turbulence as deduced from stability theory-based methods. Sadhana. 32(1-2). 51–64. 5 indexed citations

18.

Sen, Pradeep. (2004). Silhouette maps for improved texture magnification. 65–73. 49 indexed citations

19.

Chan, Eric R., Ren Ng, Pradeep Sen, Kekoa Proudfoot, & Pat Hanrahan. (2002). Efficient partitioning of fragment shaders for multipass rendering on programmable graphics hardware. 69–78. 24 indexed citations

20.

Sen, Pradeep & Srinivas V. Veeravalli. (1998). On the behaviour of organised disturbances in a turbulent boundary-layer. Sadhana. 23(2). 167–193. 5 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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