Vikram Suresh

1.1k citations
70 papers · 826 indexed · h-index 15

Impact in

Papers in

Vikram Suresh

65 papers receiving 812 citations

Peers

Vikram Suresh
Comparison fields: 5 of 67
  • Hardware and Architecture 481
  • Computer Vision and Pattern Recognition 249
  • Artificial Intelligence 289
  • Electrical and Electronic Engineering 403
  • Computational Theory and Mathematics 107
Replace Farhana Sheikh with:
Farhana Sheikh United States
Sudhir Satpathy United States
Qiang Zhou China
Melissa C. Smith United States
Jintao Zhang China
Shan Gai China
Kanad Basu United States
Md Tauhidur Rahman United States
N. Felber Switzerland
Hongyang Jia China
Vikram Suresh relative to Farhana Sheikh United States Farhana Sheikh's profile →
Citations per field
00.5×1.5×2.3×
Farhana Sheikh · 1×
Citations per year

Countries citing papers authored by Vikram Suresh

Since Specialization
Citations

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

Fields of papers citing papers by Vikram Suresh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Vikram Suresh, 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 Vikram Suresh Line = papers co-authored together Vikram Suresh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20230
4 20231
5 20222
6 20229
7 202118
8
Thermodynamic equations of state for the dust grain using Langevin Dynamics simulations
20201
9
Grain charging rate in high ion concentrated dusty plasma using Langevin-dynamic simulations
20201
10 202017
11 20193
12 20192
13 20195
14 20184
15 20188
16 20184
17 201814
18 2015106
19 20149
20 20141

About Vikram Suresh

Vikram Suresh is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics, having authored 70 papers that have together received 826 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (27 papers), Cryptographic Implementations and Security (14 papers), Advanced Memory and Neural Computing (13 papers), Integrated Circuits and Semiconductor Failure Analysis (11 papers), Low-power high-performance VLSI design (11 papers), Quantum-Dot Cellular Automata (9 papers), Chaos-based Image/Signal Encryption (8 papers) and Semiconductor materials and devices (8 papers). The work is most often cited by research in Hardware and Architecture (481 citations), Computer Vision and Pattern Recognition (249 citations), Artificial Intelligence (289 citations), Electrical and Electronic Engineering (403 citations) and Computational Theory and Mathematics (107 citations). Vikram Suresh has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Sanu Mathew, Mark Anders, Sudhir Satpathy, Himanshu Kaul, Ram Krishnamurthy, Wayne Burleson, Amit Agarwal, Steven Hsu, Vivek De and Gregory Chen. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Journal of Aerosol Science, Thin Solid Films, Indian Journal of Science and Technology and Physics of Plasmas.

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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