Gayatri E. Perlin

800 citations
13 papers · 614 · h-index 9

Impact in

Papers in

Gayatri E. Perlin

13 papers receiving 601 citations

Peers

Gayatri E. Perlin
Comparison fields: 5 of 44
  • Cellular and Molecular Neuroscience 471
  • Cognitive Neuroscience 252
  • Electrical and Electronic Engineering 408
  • Biomedical Engineering 270
  • Polymers and Plastics 34
Replace M.N. Gulari with:
M.N. Gulari United States
J. Ji United States
Jiangang Du United States
Hongming Lyu China
A. Pongrácz Hungary
Arno Aarts Belgium
Euijae Shim United States
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B.V. Mech United States
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Gayatri E. Perlin relative to M.N. Gulari United States M.N. Gulari's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gayatri E. Perlin

Since Specialization
Citations

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

Fields of papers citing papers by Gayatri E. Perlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gayatri E. Perlin. 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 Gayatri E. Perlin. The network helps show where Gayatri E. Perlin may publish in the future.

Co-authors

The 19 scholars most cited alongside Gayatri E. Perlin, 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 Gayatri E. Perlin Line = papers co-authored together Gayatri E. Perlin links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2008251
2 2009164
3 201564
4 201030
5 200726
6 200919
7 200818
8 200814
9 201411
10 20058
11 20076
12 20112
13
A fully-implantable integrated front-end for neural recording microsystems.
20081

About Gayatri E. Perlin

Gayatri E. Perlin is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Cognitive Neuroscience, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 13 papers that have together received 614 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (10 papers), Advanced Memory and Neural Computing (7 papers), EEG and Brain-Computer Interfaces (6 papers), Analog and Mixed-Signal Circuit Design (3 papers), Neural dynamics and brain function (2 papers), Mechanical and Optical Resonators (2 papers), Geophysics and Sensor Technology (2 papers) and Diamond and Carbon-based Materials Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (471 citations), Cognitive Neuroscience (252 citations), Electrical and Electronic Engineering (408 citations), Biomedical Engineering (270 citations) and Polymers and Plastics (34 citations). Gayatri E. Perlin has collaborated with scholars based in United States and Iran. Frequent co-authors include Amir M. Sodagar, Ying Yao, Kensall D. Wise, K.D. Wise, M.N. Gulari, K. Najafi, Khalil Najafi, Marc S. Weinberg, Eugene H. Cook and Mirela G. Bancu. Their work appears in journals such as Journal of Microelectromechanical Systems, Proceedings of the IEEE, Journal of Micromechanics and Microengineering, IEEE Journal of Solid-State Circuits and PubMed.

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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