Aneesh Aggarwal

522 total citations
32 papers, 337 citations indexed

About

Aneesh Aggarwal is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Aneesh Aggarwal has authored 32 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Hardware and Architecture, 28 papers in Computer Networks and Communications and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Aneesh Aggarwal's work include Parallel Computing and Optimization Techniques (28 papers), Advanced Data Storage Technologies (16 papers) and Interconnection Networks and Systems (14 papers). Aneesh Aggarwal is often cited by papers focused on Parallel Computing and Optimization Techniques (28 papers), Advanced Data Storage Technologies (16 papers) and Interconnection Networks and Systems (14 papers). Aneesh Aggarwal collaborates with scholars based in United States, Switzerland and Saudi Arabia. Aneesh Aggarwal's co-authors include M. Franklin, David Lewis, Abdel‐Hameed A. Badawy, Chau‐Wen Tseng, Donald Yeung, Keith H. Randall, Saugata Ghose, Manoj Franklin, Oğuz Ergin and Dmitry Ponomarev and has published in prestigious journals such as IEEE Transactions on Computers, Advanced Healthcare Materials and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Aneesh Aggarwal

30 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aneesh Aggarwal United States 12 281 221 152 61 17 32 337
Eric Borch United States 5 336 1.2× 289 1.3× 137 0.9× 27 0.4× 9 0.5× 6 384
W. Cesário France 7 261 0.9× 206 0.9× 49 0.3× 25 0.4× 6 0.4× 14 293
Alexey Lavrov United States 8 202 0.7× 180 0.8× 122 0.8× 31 0.5× 12 0.7× 12 291
Kypros Constantinides United States 9 393 1.4× 243 1.1× 497 3.3× 51 0.8× 8 0.5× 16 562
W.S. Marcus United States 6 108 0.4× 280 1.3× 124 0.8× 19 0.3× 5 0.3× 12 296
Yanos Sazeides Cyprus 8 383 1.4× 300 1.4× 156 1.0× 43 0.7× 5 0.3× 14 421
Pat Conway United States 5 449 1.6× 423 1.9× 146 1.0× 51 0.8× 8 0.5× 6 510
D. Lyonnard France 11 457 1.6× 379 1.7× 74 0.5× 32 0.5× 6 0.4× 12 494
Avadh Patel United States 3 274 1.0× 229 1.0× 109 0.7× 34 0.6× 12 0.7× 4 318
Shih-Chieh Chang Taiwan 9 213 0.8× 63 0.3× 191 1.3× 79 1.3× 9 0.5× 30 300

Countries citing papers authored by Aneesh Aggarwal

Since Specialization
Citations

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

Fields of papers citing papers by Aneesh Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aneesh Aggarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Aneesh Aggarwal. A scholar is included among the top collaborators of Aneesh Aggarwal 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 Aneesh Aggarwal. Aneesh Aggarwal 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.
Yang, Xingyun, Mara Artibani, Aneesh Aggarwal, et al.. (2025). 3D Microtumors Representing Ovarian Cancer Minimal Residual Disease Respond to the Fatty Acid Oxidation Inhibitor Perhexiline. Advanced Healthcare Materials. 14(14). e2404072–e2404072. 1 indexed citations
2.
Ghose, Saugata, et al.. (2009). Architectural support for low overhead detection of memory violations. Design, Automation, and Test in Europe. 652–657. 18 indexed citations
3.
Suri, Tejas Menon & Aneesh Aggarwal. (2009). Improving scalability and per-core performance in multi-cores through resource sharing and reconfiguration. 30. 145–150. 2 indexed citations
4.
Aggarwal, Aneesh, et al.. (2009). Exploring the Limits of Port Reduction in Centralized Register Files. 535–540. 2 indexed citations
5.
Aggarwal, Aneesh, et al.. (2008). Scalable multi-cores with improved per-core performance using off-the-critical path reconfigurable hardware. IEEE International Conference on High Performance Computing, Data, and Analytics. 365–377. 2 indexed citations
6.
Aggarwal, Aneesh, et al.. (2008). Cache Noise Prediction. IEEE Transactions on Computers. 57(10). 1372–1386. 11 indexed citations
7.
Aggarwal, Aneesh, et al.. (2008). Speculative instruction validation for performance-reliability trade-off. 405–414. 7 indexed citations
8.
Govindaraju, Madhusudhan, et al.. (2008). Optimizing XML processing for grid applications using an emulation framework. Proceedings - IEEE International Parallel and Distributed Processing Symposium. 1–11. 1 indexed citations
9.
Govindaraju, Madhusudhan, et al.. (2007). McGrid. 9–16. 1 indexed citations
10.
Aggarwal, Aneesh, et al.. (2007). Increasing cache capacity through word filtering. 222–231. 4 indexed citations
11.
Aggarwal, Aneesh, et al.. (2006). Increasing the Cache Efficiency by Eliminating Noise. 147–156. 20 indexed citations
12.
Aggarwal, Aneesh. (2005). Reducing latencies of pipelined cache accesses through set prediction. 2–11. 2 indexed citations
13.
Aggarwal, Aneesh & M. Franklin. (2005). An empirical study of the scalability aspects of instruction distribution algorithms for clustered processors. 172–179. 15 indexed citations
14.
Badawy, Abdel‐Hameed A., Aneesh Aggarwal, Donald Yeung, & Chau‐Wen Tseng. (2004). The Efficacy of Software Prefetching and Locality Optimizations on Future Memory Systems. 6. 21 indexed citations
15.
Aggarwal, Aneesh & M. Franklin. (2004). Energy efficient asymmetrically ported register files. 2–7. 29 indexed citations
16.
Aggarwal, Aneesh & Manoj Franklin. (2003). Instruction replication: reducing delays due to inter-PE communication latency. International Conference on Parallel Architectures and Compilation Techniques. 46–55. 7 indexed citations
17.
Aggarwal, Aneesh & M. Franklin. (2002). Hierarchical interconnects for on-chip clustering. 8 pp–8 pp. 11 indexed citations
18.
Aggarwal, Aneesh. (2002). Software caching vs. prefetching. 157–162. 9 indexed citations
19.
Aggarwal, Aneesh & David Lewis. (2002). Routing architectures for hierarchical field programmable gate arrays. 475–478. 30 indexed citations
20.
Badawy, Abdel‐Hameed A., Aneesh Aggarwal, Donald Yeung, & Chau‐Wen Tseng. (2001). Evaluating the impact of memory system performance on software prefetching and locality optimizations. 486–500. 35 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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