Vignesh Ravichandran

884 citations
18 papers · 676 indexed · 1 hit paper · h-index 10
Topics
Non-Invasive Vital Sign Monitoring (7 papers)Advanced Sensor and Energy Harvesting Materials (4 papers)Advanced Memory and Neural Computing (3 papers)

In The Last Decade

Vignesh Ravichandran

17 papers receiving 653 citations

Hit Papers

An artificial nociceptor based on a diffusive memristor20182026202020232018100200300400

Peers

Vignesh Ravichandran
Comparison fields: 5 of 70
  • Electrical and Electronic Engineering 449
  • Cellular and Molecular Neuroscience 273
  • Biomedical Engineering 172
  • Cognitive Neuroscience 151
  • Polymers and Plastics 90
Replace Stephen Deiss with:
Stephen Deiss United States
Amin Mahnam Iran
Isha Gupta United Kingdom
Tianruo Guo Australia
Xinke Shen China
Shusuke Yoshimoto Japan
Ian Williams United Kingdom
Philipp Schönle Switzerland
Christoph Maier United States
Enrique Mario Spinelli Argentina
Vignesh Ravichandran relative to Stephen Deiss United States Stephen Deiss's profile →
Citations per field
00.5×1.5×2.3×
Stephen Deiss · 1×
Citations per year

Countries citing papers authored by Vignesh Ravichandran

Since Specialization
Citations

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

Fields of papers citing papers by Vignesh Ravichandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vignesh Ravichandran

This figure shows the co-authorship network connecting the top 25 collaborators of Vignesh Ravichandran. A scholar is included among the top collaborators of Vignesh Ravichandran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vignesh Ravichandran. Vignesh Ravichandran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 13
3 11
4 1
5 3
6 2
7 9
8 19
9 21
10 8
11 23
12 9
13 28
14
An artificial nociceptor based on a diffusive memristorbreakdown →
419
15 58
16 20
17 29
18 3

About Vignesh Ravichandran

Vignesh Ravichandran is a scholar working on Cognitive Neuroscience, Occupational Therapy and Biomedical Engineering, having authored 18 papers that have together received 676 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (7 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (273 citations), Electrical and Electronic Engineering (449 citations) and Cognitive Neuroscience (151 citations). Vignesh Ravichandran has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Qiangfei Xia, J. Joshua Yang, Cheol Seong Hwang, Jung Ho Yoon, Kyung Min Kim, Huaqiang Wu, Zhongrui Wang, Mohanasankar Sivaprakasam, Jayaraj Joseph and Kunal Mankodiya. Their work appears in journals such as Nature Communications, IEEE Access and Sensors.

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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