Niladrish Chatterjee

2.1k total citations
31 papers, 1.5k citations indexed

About

Niladrish Chatterjee is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Niladrish Chatterjee has authored 31 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Networks and Communications, 25 papers in Hardware and Architecture and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Niladrish Chatterjee's work include Parallel Computing and Optimization Techniques (24 papers), Advanced Data Storage Technologies (24 papers) and Advanced Memory and Neural Computing (8 papers). Niladrish Chatterjee is often cited by papers focused on Parallel Computing and Optimization Techniques (24 papers), Advanced Data Storage Technologies (24 papers) and Advanced Memory and Neural Computing (8 papers). Niladrish Chatterjee collaborates with scholars based in United States, Switzerland and Canada. Niladrish Chatterjee's co-authors include Mike O’Connor, Rajeev Balasubramonian, Al Davis, Donghyuk Lee, Stephen W. Keckler, Naveen Muralimanohar, Norman P. Jouppi, Aniruddha N. Udipi, Onur Mutlu and David Nellans and has published in prestigious journals such as ACM SIGPLAN Notices, ACM SIGMETRICS Performance Evaluation Review and ACM Transactions on Architecture and Code Optimization.

In The Last Decade

Niladrish Chatterjee

31 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niladrish Chatterjee United States 21 1.1k 1.0k 624 265 145 31 1.5k
Nuwan Jayasena United States 18 1.2k 1.0× 1.1k 1.1× 417 0.7× 238 0.9× 127 0.9× 33 1.5k
Nandita Vijaykumar United States 16 720 0.6× 710 0.7× 461 0.7× 225 0.8× 244 1.7× 34 1.1k
Adwait Jog United States 22 1.5k 1.3× 1.4k 1.4× 529 0.8× 448 1.7× 191 1.3× 63 1.8k
Eiman Ebrahimi United States 23 1.4k 1.2× 1.4k 1.4× 448 0.7× 460 1.7× 172 1.2× 29 1.8k
Henry Wong Canada 7 1.5k 1.3× 1.3k 1.3× 397 0.6× 260 1.0× 143 1.0× 10 1.7k
Onur Kayıran United States 19 1.3k 1.1× 1.2k 1.2× 334 0.5× 378 1.4× 76 0.5× 34 1.4k
David Nellans United States 24 1.4k 1.2× 1.4k 1.4× 400 0.6× 463 1.7× 152 1.0× 41 1.8k
Ali Bakhoda Canada 5 1.3k 1.2× 1.2k 1.2× 355 0.6× 236 0.9× 94 0.6× 9 1.5k
Kevin Hsieh United States 14 641 0.6× 659 0.7× 470 0.8× 217 0.8× 237 1.6× 16 1.1k
Samira Khan United States 25 1.7k 1.5× 1.5k 1.5× 1.1k 1.7× 336 1.3× 250 1.7× 57 2.2k

Countries citing papers authored by Niladrish Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Niladrish Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niladrish Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Niladrish Chatterjee. A scholar is included among the top collaborators of Niladrish Chatterjee 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 Niladrish Chatterjee. Niladrish Chatterjee 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.
O’Connor, Mike, Donghyuk Lee, Niladrish Chatterjee, Michael B. Sullivan, & Stephen W. Keckler. (2022). Saving PAM4 Bus Energy with SMOREs: Sparse Multi-level Opportunistic Restricted Encodings. 1001–1013. 7 indexed citations
2.
Fu, Yaosheng, Evgeny Bolotin, Niladrish Chatterjee, David Nellans, & Stephen W. Keckler. (2021). GPU Domain Specialization via Composable On-Package Architecture. ACM Transactions on Architecture and Code Optimization. 19(1). 1–23. 7 indexed citations
3.
Fujiki, Daichi, Niladrish Chatterjee, Donghyuk Lee, & Mike O’Connor. (2019). Near-memory data transformation for efficient sparse matrix multi-vector multiplication. 1–17. 17 indexed citations
4.
Lee, Donghyuk, Mike O’Connor, & Niladrish Chatterjee. (2018). Reducing Data Transfer Energy by Exploiting Similarity within a Data Transaction. 40–51. 20 indexed citations
5.
Ghose, Saugata, A. Giray Yağlıkçı, Raghav Gupta, et al.. (2018). What Your DRAM Power Models Are Not Telling You. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 2(3). 1–41. 32 indexed citations
6.
Kim, Gwangsun, Niladrish Chatterjee, Mike O’Connor, & Kevin Hsieh. (2017). Toward standardized near-data processing with unrestricted data placement for GPUs. 1–12. 32 indexed citations
7.
Chatterjee, Niladrish, Mike O’Connor, Donghyuk Lee, et al.. (2017). Architecting an Energy-Efficient DRAM System for GPUs. 73–84. 68 indexed citations
8.
Agrawal, Aditya, et al.. (2017). Understanding Reduced-Voltage Operation in Modern DRAM Devices. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 1(1). 1–42. 34 indexed citations
9.
O’Connor, Mike, Niladrish Chatterjee, Donghyuk Lee, et al.. (2017). Fine-grained DRAM. 41–54. 136 indexed citations
10.
Hsieh, Kevin, Gwangsun Kim, Niladrish Chatterjee, et al.. (2016). Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems. 204–216. 56 indexed citations
11.
Agrawal, Aditya, Mike O’Connor, Evgeny Bolotin, et al.. (2016). CLARA. 8. 338–349. 3 indexed citations
12.
Hsieh, Kevin, Eiman Ebrahimi, Gwangsun Kim, et al.. (2016). Transparent offloading and mapping (TOM). ACM SIGARCH Computer Architecture News. 44(3). 204–216. 130 indexed citations
13.
Shevgoor, Manjunath, Rajeev Balasubramonian, Niladrish Chatterjee, & Jung‐Sik Kim. (2016). Addressing service interruptions in memory with thread-to-rank assignment. 24–35. 3 indexed citations
14.
Chatterjee, Niladrish, et al.. (2014). Managing DRAM Latency Divergence in Irregular GPGPU Applications. 128–139. 69 indexed citations
15.
Shevgoor, Manjunath, Jung‐Sik Kim, Niladrish Chatterjee, et al.. (2013). Quantifying the relationship between the power delivery network and architectural policies in a 3D-stacked memory device. 198–209. 36 indexed citations
16.
Chatterjee, Niladrish, Naveen Muralimanohar, Rajeev Balasubramonian, Al Davis, & Norman P. Jouppi. (2012). Staged Reads: Mitigating the impact of DRAM writes on DRAM reads. 1–12. 41 indexed citations
17.
Chatterjee, Niladrish, Manjunath Shevgoor, Rajeev Balasubramonian, et al.. (2012). Leveraging Heterogeneity in DRAM Main Memories to Accelerate Critical Word Access. 13–24. 44 indexed citations
18.
Sudan, Kshitij, Niladrish Chatterjee, David Nellans, et al.. (2010). Micro-pages. ACM SIGARCH Computer Architecture News. 38(1). 219–230. 119 indexed citations
19.
Udipi, Aniruddha N., Naveen Muralimanohar, Niladrish Chatterjee, et al.. (2010). Rethinking DRAM design and organization for energy-constrained multi-cores. 175–186. 195 indexed citations
20.

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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