Jatin Chhugani

4.3k total citations · 1 hit paper
39 papers, 3.0k citations indexed

About

Jatin Chhugani is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jatin Chhugani has authored 39 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 18 papers in Hardware and Architecture and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jatin Chhugani's work include Parallel Computing and Optimization Techniques (18 papers), Advanced Data Storage Technologies (16 papers) and Distributed and Parallel Computing Systems (7 papers). Jatin Chhugani is often cited by papers focused on Parallel Computing and Optimization Techniques (18 papers), Advanced Data Storage Technologies (16 papers) and Distributed and Parallel Computing Systems (7 papers). Jatin Chhugani collaborates with scholars based in United States, United Kingdom and India. Jatin Chhugani's co-authors include Pradeep Dubey, Nadathur Satish, Changkyu Kim, Anthony D. Nguyen, Victor W. Lee, Daehyun Kim, Mikhail Smelyanskiy, Ronak Singhal, Michael Deisher and Per Hammarlund and has published in prestigious journals such as Proceedings of the IEEE, Communications of the ACM and Computer.

In The Last Decade

Jatin Chhugani

39 papers receiving 2.9k citations

Hit Papers

Debunking the 100X GPU vs. CPU myth 2010 2026 2015 2020 2010 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jatin Chhugani United States 23 1.7k 1.3k 721 644 483 39 3.0k
Nadathur Satish United States 30 2.4k 1.4× 2.1k 1.6× 1.4k 1.9× 1.1k 1.8× 885 1.8× 52 4.2k
Changkyu Kim United States 28 3.2k 1.8× 2.7k 2.0× 567 0.8× 535 0.8× 572 1.2× 56 4.2k
Naga K. Govindaraju United States 33 2.4k 1.4× 1.8k 1.4× 1.8k 2.5× 982 1.5× 1.0k 2.2× 80 5.5k
Paul H. J. Kelly United Kingdom 24 534 0.3× 620 0.5× 880 1.2× 544 0.8× 178 0.4× 103 2.5k
Selim G. Akl Canada 28 2.1k 1.2× 675 0.5× 426 0.6× 1.3k 2.0× 436 0.9× 259 3.9k
Barbara Chapman United States 19 1.4k 0.8× 1.5k 1.2× 198 0.3× 361 0.6× 391 0.8× 169 2.5k
Harold S. Stone United States 29 2.6k 1.5× 2.2k 1.7× 636 0.9× 756 1.2× 392 0.8× 101 5.2k
Kayvon Fatahalian United States 24 1.3k 0.7× 1.5k 1.1× 974 1.4× 444 0.7× 305 0.6× 63 3.0k
Richard Vuduc United States 32 2.0k 1.2× 2.5k 1.9× 426 0.6× 711 1.1× 495 1.0× 132 3.7k
Sparsh Mittal India 34 1.7k 1.0× 1.9k 1.4× 876 1.2× 765 1.2× 424 0.9× 145 4.8k

Countries citing papers authored by Jatin Chhugani

Since Specialization
Citations

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

Fields of papers citing papers by Jatin Chhugani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jatin Chhugani

This figure shows the co-authorship network connecting the top 25 collaborators of Jatin Chhugani. A scholar is included among the top collaborators of Jatin Chhugani 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 Jatin Chhugani. Jatin Chhugani 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.
Gittens, Alex, Jiyan Yang, Michael F. Ringenburg, et al.. (2016). A Multi-Platform Evaluation of the Randomized CX Low-Rank Matrix Factorization in Spark. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations
2.
Satish, Nadathur, Changkyu Kim, Jatin Chhugani, & Pradeep Dubey. (2012). Large-scale energy-efficient graph traversal: a path to efficient data-intensive supercomputing. IEEE International Conference on High Performance Computing, Data, and Analytics. 1–11. 31 indexed citations
3.
Kim, Changkyu, Nadathur Satish, Jatin Chhugani, et al.. (2012). Closing the Ninja Performance Gap through Traditional Programming and Compiler Technology. 13 indexed citations
4.
Chhugani, Jatin, Changkyu Kim, Hemant Shukla, et al.. (2012). Billion-particle SIMD-friendly two-point correlation on large-scale HPC cluster systems. 1–11. 4 indexed citations
5.
Govindaraju, Venkatraman, Chen-Han Ho, Tony Nowatzki, et al.. (2012). DySER: Unifying Functionality and Parallelism Specialization for Energy-Efficient Computing. IEEE Micro. 32(5). 38–51. 174 indexed citations
6.
Satish, Nadathur, Changkyu Kim, Jatin Chhugani, & Pradeep Dubey. (2012). Large-scale energy-efficient graph traversal: A path to efficient data-intensive supercomputing. 1–11. 22 indexed citations
7.
Lee, Victor W., Yen-Kuang Chen, Jatin Chhugani, et al.. (2011). Emerging applications for multi/many-core processors. 1524–1527. 1 indexed citations
8.
Kim, Changkyu, Jatin Chhugani, Nadathur Satish, et al.. (2011). Designing fast architecture-sensitive tree search on modern multicore/many-core processors. ACM Transactions on Database Systems. 36(4). 1–34. 14 indexed citations
9.
Krueger, Jens, Changkyu Kim, Martin Grund, et al.. (2011). Fast updates on read-optimized databases using multi-core CPUs. Proceedings of the VLDB Endowment. 5(1). 61–72. 85 indexed citations
10.
Sewall, Jason, Jatin Chhugani, Changkyu Kim, Nadathur Satish, & Pradeep Dubey. (2011). PALM. Proceedings of the VLDB Endowment. 4(11). 795–806. 74 indexed citations
11.
Nguyen, Anthony D., Nadathur Satish, Jatin Chhugani, Changkyu Kim, & Pradeep Dubey. (2010). 3.5-D Blocking Optimization for Stencil Computations on Modern CPUs and GPUs. 1–13. 197 indexed citations
12.
Kim, Changkyu, Jatin Chhugani, Nadathur Satish, et al.. (2010). FAST. 339–350. 216 indexed citations
13.
Smelyanskiy, Mikhail, David W. Holmes, Jatin Chhugani, et al.. (2009). Mapping High-Fidelity Volume Rendering for Medical Imaging to CPU, GPU and Many-Core Architectures. IEEE Transactions on Visualization and Computer Graphics. 15(6). 1563–1570. 62 indexed citations
14.
Kumar, Sanjeev, Daehyun Kim, Mikhail Smelyanskiy, et al.. (2008). Atomic Vector Operations on Chip Multiprocessors. 441–452. 20 indexed citations
15.
Chhugani, Jatin, Anthony D. Nguyen, Victor W. Lee, et al.. (2008). Efficient implementation of sorting on multi-core SIMD CPU architecture. Proceedings of the VLDB Endowment. 1(2). 1313–1324. 171 indexed citations
16.
Kumar, Sanjeev, Jatin Chhugani, Changkyu Kim, et al.. (2008). Second Life and the New Generation of Virtual Worlds. Computer. 41(9). 46–53. 115 indexed citations
17.
Chhugani, Jatin & Subodh Kumar. (2007). Geometry engine optimization. 9–16. 13 indexed citations
18.
Hughes, Christopher J., Radek Grzeszczuk, Eftychios Sifakis, et al.. (2007). Physical simulation for animation and visual effects. 220–231. 40 indexed citations
19.
Hughes, Christopher J., Radek Grzeszczuk, Eftychios Sifakis, et al.. (2007). Physical simulation for animation and visual effects. ACM SIGARCH Computer Architecture News. 35(2). 220–231. 13 indexed citations
20.
Chhugani, Jatin, et al.. (2004). vLOD: High-Fidelity Walkthrough of Large Virtual Environments. IEEE Transactions on Visualization and Computer Graphics. 11(1). 35–47. 12 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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