Vikramkumar Pudi

993 citations
37 papers · 695 · h-index 15

Impact in

Papers in

Vikramkumar Pudi

34 papers receiving 662 citations

Peers

Vikramkumar Pudi
Comparison fields: 5 of 44
  • Computational Theory and Mathematics 410
  • Electrical and Electronic Engineering 534
  • Hardware and Architecture 57
  • Atomic and Molecular Physics, and Optics 168
  • Signal Processing 48
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Manisha Pattanaik India
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Citations per field
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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 21 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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011175
2 201076
3 201853
4 201345
5 201241
6 201436
7 201728
8 202126
9 201725
10 201524
11 201920
12 201820
13 201817
14 201517
15 201314
16 202013
17 20188
18 20137
19 20177
20 20206

About Vikramkumar Pudi

Vikramkumar Pudi is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics, Hardware and Architecture, Biomedical Engineering and Computer Networks and Communications, having authored 37 papers that have together received 695 indexed citations. Recurring topics across this work include Quantum-Dot Cellular Automata (13 papers), Low-power high-performance VLSI design (7 papers), Sparse and Compressive Sensing Techniques (6 papers), Advanced Memory and Neural Computing (6 papers), Advancements in Semiconductor Devices and Circuit Design (5 papers), Quantum and electron transport phenomena (5 papers), Analog and Mixed-Signal Circuit Design (4 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Computational Theory and Mathematics (410 citations), Electrical and Electronic Engineering (534 citations), Hardware and Architecture (57 citations), Atomic and Molecular Physics, and Optics (168 citations) and Signal Processing (48 citations). Vikramkumar Pudi has collaborated with scholars based in India, Singapore and Germany. Frequent co-authors include K. Sridharan, Anupam Chattopadhyay, Vishal Dey, Yuval Elovici, Kwok‐Yan Lam, John Reuben, Fabrizio Lombardi, Weiqiang Liu, Tingting Zhang and Ming Ming Wong. Their work appears in journals such as IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Nanotechnology and IEEE/ASME Transactions on Mechatronics.

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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