Chita R. Das

10.7k total citations · 1 hit paper
305 papers, 7.9k citations indexed

About

Chita R. Das is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Chita R. Das has authored 305 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 267 papers in Computer Networks and Communications, 154 papers in Hardware and Architecture and 93 papers in Electrical and Electronic Engineering. Recurrent topics in Chita R. Das's work include Parallel Computing and Optimization Techniques (144 papers), Interconnection Networks and Systems (133 papers) and Advanced Data Storage Technologies (70 papers). Chita R. Das is often cited by papers focused on Parallel Computing and Optimization Techniques (144 papers), Interconnection Networks and Systems (133 papers) and Advanced Data Storage Technologies (70 papers). Chita R. Das collaborates with scholars based in United States, South Korea and United Kingdom. Chita R. Das's co-authors include Mahmut Kandemir, Asit Mishra, N. Vijaykrishnan, Dongkook Park, Onur Mutlu, Reetuparna Das, Adwait Jog, Jong Man Kim, Chrysostomos Nicopoulos and Onur Kayıran and has published in prestigious journals such as BMC Bioinformatics, Information Sciences and Computer.

In The Last Decade

Chita R. Das

290 papers receiving 7.6k citations

Hit Papers

Towards characterizing cloud backend workloads 2010 2026 2015 2020 2010 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chita R. Das United States 47 7.0k 4.2k 2.8k 1.7k 621 305 7.9k
N. Vijaykrishnan United States 48 4.0k 0.6× 4.5k 1.1× 4.3k 1.5× 600 0.3× 405 0.7× 199 7.2k
Jaswinder Pal Singh United States 15 6.6k 0.9× 6.9k 1.6× 2.4k 0.9× 1.2k 0.7× 237 0.4× 34 8.3k
J. Duato Spain 38 6.1k 0.9× 3.9k 0.9× 2.6k 0.9× 731 0.4× 767 1.2× 387 6.5k
Steven K. Reinhardt United States 35 6.3k 0.9× 6.9k 1.6× 3.6k 1.3× 1.2k 0.7× 112 0.2× 86 8.7k
Bradford M. Beckmann United States 20 4.6k 0.6× 5.0k 1.2× 2.3k 0.8× 537 0.3× 167 0.3× 46 6.0k
Stephen W. Keckler United States 49 5.5k 0.8× 6.2k 1.5× 4.8k 1.7× 515 0.3× 575 0.9× 151 9.4k
Li-Shiuan Peh United States 54 8.7k 1.2× 6.5k 1.5× 5.5k 2.0× 435 0.3× 1.8k 2.9× 185 10.7k
Henry Hoffmann United States 31 3.1k 0.4× 3.1k 0.7× 1.6k 0.6× 1.1k 0.6× 169 0.3× 145 4.8k
Dean M. Tullsen United States 47 8.7k 1.2× 10.1k 2.4× 3.5k 1.2× 2.0k 1.1× 109 0.2× 191 11.6k
Nathan Binkert United States 22 4.0k 0.6× 4.2k 1.0× 3.3k 1.2× 548 0.3× 132 0.2× 41 6.4k

Countries citing papers authored by Chita R. Das

Since Specialization
Citations

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

Fields of papers citing papers by Chita R. Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chita R. Das. 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 Chita R. Das. The network helps show where Chita R. Das may publish in the future.

Co-authorship network of co-authors of Chita R. Das

This figure shows the co-authorship network connecting the top 25 collaborators of Chita R. Das. A scholar is included among the top collaborators of Chita R. Das 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 Chita R. Das. Chita R. Das 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.
Jain, Rishabh, Onur Kayıran, John Kalamatianos, et al.. (2025). Load and MLP-Aware Thread Orchestration for Recommendation Systems Inference on CPUs. 589–603.
2.
Sharma, Aakash, et al.. (2024). Paldia: Enabling SLO-Compliant and Cost-Effective Serverless Computing on Heterogeneous Hardware. 100–113. 2 indexed citations
3.
Jain, Rishabh, S. H. Cheng, Kiwan Maeng, et al.. (2023). Optimizing CPU Performance for Recommendation Systems At-Scale. 1–15. 15 indexed citations
4.
Gunasekaran, Jashwant Raj, et al.. (2022). SandPiper: A Cost-Efficient Adaptive Framework for Online Recommender Systems. 2022 IEEE International Conference on Big Data (Big Data). 423–430.
5.
Arjomand, Mohammad, et al.. (2017). Optimizing energy consumption in GPUS through feedback-driven CTA scheduling. 129–140. 3 indexed citations
6.
Kayıran, Onur, Adwait Jog, Mahmut Kandemir, & Chita R. Das. (2013). Neither more nor less: optimizing thread-level parallelism for GPGPUs. International Conference on Parallel Architectures and Compilation Techniques. 157–166. 174 indexed citations
7.
Kotra, Jagadish, et al.. (2013). Automatic vectorization of tree traversals. 363–374. 1 indexed citations
8.
Kotra, Jagadish, et al.. (2013). Meeting midway: improving CMP performance with memory-side prefetching. International Conference on Parallel Architectures and Compilation Techniques. 289–298. 28 indexed citations
9.
Kim, Youngjae, et al.. (2011). Migration, assignment, and scheduling of jobs in virtualized environment. IEEE International Conference on Cloud Computing Technology and Science. 2–2. 23 indexed citations
10.
Kesidis, George, et al.. (2009). Peer-to-peer unstructured anycasting using correlated swarms. 1–8. 3 indexed citations
11.
Nicopoulos, Chrysostomos, Dongkook Park, Jong Man Kim, et al.. (2006). ViChaR: A Dynamic Virtual Channel Regulator for Network-on-Chip Routers. 333–346. 229 indexed citations
12.
Sarhan, Nabil J. & Chita R. Das. (2004). A new class of scheduling policies for providing time of service guarantees in Video-On-Demand servers.
13.
Sarhan, Nabil J. & Chita R. Das. (2004). Analysis of caching performance in multimedia servers. 288–293. 1 indexed citations
14.
Das, Chita R., et al.. (1995). Processor Management Techniques for Mesh-Connected Multiprocessors.. Proceedings of the International Conference on Parallel Processing. 105–112. 11 indexed citations
15.
Kim, Jong & Chita R. Das. (1995). Modeling wormhole routing in a hypercube. IEEE Computer Society Press eBooks. 383–390. 3 indexed citations
16.
Kim, Jong, Chita R. Das, & Woei Lin. (1994). A top-down processor allocation scheme for hypercube computers. IEEE Computer Society Press eBooks. 620–630. 9 indexed citations
17.
Das, Chita R., et al.. (1991). A Cache-Based Checkpointing Scheme for MIN-Based Multiprocessors.. Proceedings of the International Conference on Parallel Processing. 497–500. 3 indexed citations
18.
Das, Chita R., et al.. (1990). Fault-Tolerant Task Mapping Algorithms for MIN-Based Multiprocessors.. Proceedings of the International Conference on Parallel Processing. 445–448. 1 indexed citations
19.
Das, Chita R., et al.. (1990). A write update cache coherence protocol for MIN-based multiprocessors with accessibility-based split caches. Conference on High Performance Computing (Supercomputing). 544–553. 2 indexed citations
20.
Kim, Jong, Chita R. Das, & Woei Lin. (1989). A Processor Allocation Scheme for Hypercube Computers.. Proceedings of the International Conference on Parallel Processing. 2. 231–238. 24 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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