Sunil K. Singh

2.2k citations
57 papers · 704 indexed · h-index 15

Impact in

Papers in

Sunil K. Singh

48 papers receiving 658 citations

Peers

Sunil K. Singh
Comparison fields: 5 of 106
  • Hardware and Architecture 89
  • Computer Vision and Pattern Recognition 170
  • Computer Networks and Communications 173
  • Signal Processing 78
  • Artificial Intelligence 165
Replace Mário A. R. Dantas with:
Mário A. R. Dantas Brazil
Tien‐Hsiung Weng Taiwan
Huandong Wang China
Charalampos Chelmis United States
Dongyuan Zhan United States
Pedro Furtado Portugal
Sajjad Hussain Chauhdary Saudi Arabia
Amjad Hudaib Jordan
Mohammad Alsmirat Jordan
Li Weigang Brazil
Sunil K. Singh relative to Mário A. R. Dantas Brazil Mário A. R. Dantas's profile →
Citations per field
00.5×3.3×
Mário A. R. Dantas · 1×
Citations per year

Countries citing papers authored by Sunil K. Singh

Since Specialization
Citations

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

Fields of papers citing papers by Sunil K. Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil K. Singh. 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 Sunil K. Singh. The network helps show where Sunil K. Singh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20250
4 20242
5 20241
6 20246
7 20240
8 202319
9 20236
10 20230
11 20233
12 20230
13 202310
14 20233
15 202219
16 20228
17 2021177
18 202031
19 20181
20
Dynamic Specialization of XC6200 FPGAs by Partial Evaluation
19987

About Sunil K. Singh

Sunil K. Singh is a scholar working on Hardware and Architecture, Computer Networks and Communications, Modeling and Simulation, Signal Processing and Computer Vision and Pattern Recognition, having authored 57 papers that have together received 704 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (5 papers), Embedded Systems Design Techniques (4 papers), Advanced Malware Detection Techniques (4 papers), Advanced Authentication Protocols Security (3 papers), Network Security and Intrusion Detection (3 papers), User Authentication and Security Systems (3 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers) and Smart Agriculture and AI (3 papers). The work is most often cited by research in Hardware and Architecture (89 citations), Computer Vision and Pattern Recognition (170 citations), Computer Networks and Communications (173 citations), Signal Processing (78 citations) and Artificial Intelligence (165 citations). Sunil K. Singh has collaborated with scholars based in India, Taiwan and Lebanon. Frequent co-authors include Munish Kumar, Krishan Kumar, Monika Sachdeva, Sudhakar Kumar, Brij B. Gupta, Varsha Arya, Jonathan Rose, David Lewis, Paul Chow and Pradeep Kumar Roy. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), Multimedia Tools and Applications, Scientific Reports, Wireless Personal Communications and IEEE Journal of Solid-State Circuits.

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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