Sharad Sinha

757 citations
68 papers · 421 · h-index 11

Impact in

Papers in

Sharad Sinha

60 papers receiving 410 citations

Peers

Sharad Sinha
Comparison fields: 5 of 58
  • Hardware and Architecture 233
  • Computer Networks and Communications 109
  • Electrical and Electronic Engineering 200
  • Computer Vision and Pattern Recognition 66
  • Software 8
Replace Omar Hammami with:
Omar Hammami France
Chun-Xun Lin United States
Luca Cassano Italy
Sung-Soo Lim South Korea
Stefan Wildermann Germany
Tianzhou Chen China
Masaya Yoshikawa Japan
Sameh Asaad United States
E. M. Saad Egypt
Muhammad Ali Pakistan
Sharad Sinha relative to Omar Hammami France Omar Hammami's profile →
Citations per field
00.5×10×13.7×
Omar Hammami · 1×
Citations per year

Countries citing papers authored by Sharad Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Sharad Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201775
2 201943
3 201626
4 202022
5 202115
6 202014
7 201713
8 201913
9 202112
10 202112
11 201711
12 201810
13 20169
14 20029
15 20237
16 20187
17 20207
18 20197
19 20197
20 20206

About Sharad Sinha

Sharad Sinha is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 68 papers that have together received 421 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (23 papers), Parallel Computing and Optimization Techniques (20 papers), Interconnection Networks and Systems (14 papers), VLSI and FPGA Design Techniques (12 papers), Advanced Neural Network Applications (10 papers), VLSI and Analog Circuit Testing (9 papers), Security and Verification in Computing (6 papers) and Low-power high-performance VLSI design (5 papers). The work is most often cited by research in Hardware and Architecture (233 citations), Computer Networks and Communications (109 citations), Electrical and Electronic Engineering (200 citations), Computer Vision and Pattern Recognition (66 citations) and Software (8 citations). Sharad Sinha has collaborated with scholars based in India, Hong Kong and Singapore. Frequent co-authors include Wei Zhang, Jieru Zhao, Feng Liang, Yun Liang, Bingsheng He, Zhe Lin, K. G. Smitha, Hao Liang, Thambipillai Srikanthan and Wei Zhang. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, ACM Transactions on Reconfigurable Technology and Systems, ACM Transactions on Embedded Computing Systems and Engineering Applications of Artificial Intelligence.

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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