Aravind Dasu

475 citations
40 papers · 273 · h-index 9

Impact in

Papers in

Aravind Dasu

37 papers receiving 265 citations

Peers

Aravind Dasu
Comparison fields: 5 of 43
  • Hardware and Architecture 136
  • Computational Mathematics 3
  • Computer Networks and Communications 79
  • Computer Vision and Pattern Recognition 65
  • Signal Processing 27
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Citations per field
00.5×10×20×27×
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Citations per year

Countries citing papers authored by Aravind Dasu

Since Specialization
Citations

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

Fields of papers citing papers by Aravind Dasu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aravind Dasu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aravind Dasu Line = papers co-authored together Aravind Dasu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201943
2 201729
3 200223
4 201022
5 201818
6 202015
7 201913
8 201911
9 20028
10 20188
11 20098
12 20077
13 20146
14 20025
15 20224
16 20174
17 19994
18 20214
19
A c to register transfer level algorithm using structured circuit templates: a case study with simulated annealing
20084
20 20214

About Aravind Dasu

Aravind Dasu is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 40 papers that have together received 273 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (19 papers), Embedded Systems Design Techniques (17 papers), Interconnection Networks and Systems (10 papers), Video Coding and Compression Technologies (6 papers), 3D IC and TSV technologies (5 papers), Advanced Neural Network Applications (5 papers), Advanced Memory and Neural Computing (5 papers) and Ferroelectric and Negative Capacitance Devices (4 papers). The work is most often cited by research in Hardware and Architecture (136 citations), Computational Mathematics (3 citations), Computer Networks and Communications (79 citations), Computer Vision and Pattern Recognition (65 citations) and Signal Processing (27 citations). Aravind Dasu has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include S. Panchanathan, Eriko Nurvitadhi, Muhannad S. Bakir, Sethuraman Panchanathan, Thomas E. Sarvey, Debbie Marr, Martin Langhammer, Arifur Rahman, R. D. Barnes and Jaewoong Sim. Their work appears in journals such as IEEE Transactions on Components Packaging and Manufacturing Technology, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Computer Architecture Letters, ACM Transactions on Reconfigurable Technology and Systems and Microelectronic Engineering.

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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