Vikramkumar Pudi

47 papers receiving 773 citations

Peers

Vikramkumar Pudi
Comparison fields: 5 of 48
  • Computational Theory and Mathematics 462
  • Electrical and Electronic Engineering 595
  • Hardware and Architecture 67
  • Atomic and Molecular Physics, and Optics 189
  • Signal Processing 52
Replace Abdallah K. Cherri with:
Abdallah K. Cherri Kuwait
T. Higuchi Japan
Massimo Ruo Roch Italy
Arman Roohi United States
H.K. Thapar United States
M.J. Avedillo Spain
Manisha Pattanaik India
Jadav Chandra Das India
Naoya Onizawa Japan
Thomas Mittelholzer Switzerland
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Citations per field
00.5×5×11.9×
Abdallah K. Cherri · 1×
Citations per year

Countries citing papers authored by Vikramkumar Pudi

Since Specialization
Citations

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

Fields of papers citing papers by Vikramkumar Pudi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Vikramkumar Pudi, 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 Vikramkumar Pudi Line = papers co-authored together Vikramkumar Pudi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011188
2 201077
3 201867
4 201346
5 201243
6 202137
7 201436
8 201536
9 201733
10 201928
11 201727
12 201821
13 201518
14 201817
15 201315
16 202014
17 20179
18 20188
19 20158
20 20138

About Vikramkumar Pudi

Vikramkumar Pudi is a scholar working on Computational Theory and Mathematics, Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications and Signal Processing, having authored 50 papers that have together received 808 indexed citations. Recurring topics across this work include Quantum-Dot Cellular Automata (19 papers), Advancements in Semiconductor Devices and Circuit Design (15 papers), Advanced Memory and Neural Computing (12 papers), Low-power high-performance VLSI design (11 papers), Sparse and Compressive Sensing Techniques (7 papers), Analog and Mixed-Signal Circuit Design (7 papers), Quantum and electron transport phenomena (5 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Computational Theory and Mathematics (462 citations), Electrical and Electronic Engineering (595 citations), Hardware and Architecture (67 citations), Atomic and Molecular Physics, and Optics (189 citations) and Signal Processing (52 citations). Vikramkumar Pudi has collaborated with scholars based in India, Singapore and Germany. Frequent co-authors include K. Sridharan, Anupam Chattopadhyay, Yuval Elovici, Vishal Dey, John Reuben, Fabrizio Aghini Lombardi, Kwok‐Yan Lam, Ming Ming Wong, Tingting Zhang and Weiqiang Liu. Their work appears in journals such as IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Nanotechnology and IEEE Consumer Electronics Magazine.

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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