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

Aneesh Aggarwal
Comparison fields: 5 of 16
  • Hardware and Architecture 281
  • Computer Networks and Communications 221
  • Electrical and Electronic Engineering 152
  • Artificial Intelligence 61
  • Signal Processing 17
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Citations per field, relative to Aneesh Aggarwal
Aneesh Aggarwal · 1×
Citations per year, relative to Aneesh Aggarwal
Aneesh Aggarwal · 1×

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
# Work Indexed citations
1 1
2 18
3 2
4 2
5 2
6 11
7 7
8 1
9 1
10 4
11 20
12 2
13 15
14
The Efficacy of Software Prefetching and Locality Optimizations on Future Memory Systems
21
15 29
16 7
17 11
18 9
19 30
20 35

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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