E. Prabhu

730 citations
48 papers · 336 · h-index 10

Impact in

Papers in

E. Prabhu

44 papers receiving 293 citations

Peers

E. Prabhu
Comparison fields: 5 of 66
  • Hardware and Architecture 66
  • Computational Theory and Mathematics 59
  • Electrical and Electronic Engineering 171
  • Signal Processing 22
  • Artificial Intelligence 54
Replace Dhandapani Vaithiyanathan with:
Dhandapani Vaithiyanathan India
M.D. Valdés Spain
Ming-Bo Lin Taiwan
Rachmad Vidya Wicaksana Putra Indonesia
Ashutosh Gupta India
Omar Eldash United States
Hesam Omranpour Iran
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Aruru Sai Kumar India
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E. Prabhu relative to Dhandapani Vaithiyanathan India Dhandapani Vaithiyanathan's profile →
Citations per field
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Dhandapani Vaithiyanathan · 1×
Citations per year

Countries citing papers authored by E. Prabhu

Since Specialization
Citations

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

Fields of papers citing papers by E. Prabhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside E. Prabhu, 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 E. Prabhu Line = papers co-authored together E. Prabhu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201744
2 202026
3 201625
4 201923
5 202217
6 201817
7 201812
8 20239
9 20219
10 20179
11 20169
12 20148
13 20228
14 20208
15 20198
16
Parallel multiplier-accumulator unit based on Vedic mathematics
20157
17 20237
18 20147
19 20196
20 20216

About E. Prabhu

E. Prabhu is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Computational Theory and Mathematics, Artificial Intelligence and Mechanical Engineering, having authored 48 papers that have together received 336 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (11 papers), Quantum-Dot Cellular Automata (7 papers), Digital Filter Design and Implementation (6 papers), VLSI and Analog Circuit Testing (6 papers), Radiation Effects in Electronics (5 papers), Integrated Circuits and Semiconductor Failure Analysis (5 papers), Numerical Methods and Algorithms (4 papers) and Embedded Systems Design Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (66 citations), Computational Theory and Mathematics (59 citations), Electrical and Electronic Engineering (171 citations), Signal Processing (22 citations) and Artificial Intelligence (54 citations). E. Prabhu has collaborated with scholars based in India, United States and Türkiye. Frequent co-authors include Arvind Baskaran, K. Venkatachalam, S Maheswaran, Nebojša Bačanin, Larry Godlewski, Alan A. Luo, Ulrich Weiß, Nebojša Budimirović, Xingfu Chen and Carlos Engler-Pinto. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, International Journal of Metalcasting, Journal of Central South University, Computers, materials & continua/Computers, materials & continua (Print) and Microprocessors and Microsystems.

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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