Brian McGovern

468 citations
13 papers · 358 · h-index 8

Impact in

Papers in

Brian McGovern

13 papers receiving 354 citations

Peers

Brian McGovern
Comparison fields: 5 of 32
  • Cellular and Molecular Neuroscience 296
  • Cognitive Neuroscience 99
  • Acoustics and Ultrasonics 4
  • Condensed Matter Physics 39
  • Biomedical Engineering 96
Replace Niall McAlinden with:
Niall McAlinden United Kingdom
Michael Schwaerzle Germany
Ulisse Ferrari France
Anthony N. Zorzos United States
Christian Goßler Germany
Takuma Kobayashi Japan
Marco Bianco Italy
Liora Garion Israel
Alexander Dieter Germany
Leila Ghanbari United States
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Citations per field
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Citations per year

Countries citing papers authored by Brian McGovern

Since Specialization
Citations

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

Fields of papers citing papers by Brian McGovern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2010184
2 201052
3 201131
4 201729
5 201419
6
Multi-site optical excitation using ChR2 and micro-LED array. J Neural Eng 7:16004
201015
7 201112
8 20109
9 20093
10
The ABCs of RTDs: This short tutorial will bring you up to speed on the operating principle of resistance temperature detectors
20031
11 20101
12 20091
13 20091

About Brian McGovern

Brian McGovern is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Cognitive Neuroscience, Biomedical Engineering and Computer Networks and Communications, having authored 13 papers that have together received 358 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (11 papers), Photoreceptor and optogenetics research (11 papers), Advanced Memory and Neural Computing (5 papers), Neural dynamics and brain function (4 papers), Advanced Sensor Technologies Research (1 paper), CCD and CMOS Imaging Sensors (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Sensor Technology and Measurement Systems (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (296 citations), Cognitive Neuroscience (99 citations), Acoustics and Ultrasonics (4 citations), Condensed Matter Physics (39 citations) and Biomedical Engineering (96 citations). Brian McGovern has collaborated with scholars based in United Kingdom, Italy and Egypt. Frequent co-authors include Patrick Degenaar, Rolando Berlinguer‐Palmini, Mark A. A. Neil, Nir Grossman, V. Poher, Emmanuel M. Drakakis, Konstantin Nikolić, Martin D. Dawson, Juan Burrone and Gordon T. Kennedy. Their work appears in journals such as IEEE Transactions on Biomedical Circuits and Systems, Sensors, IEEE Transactions on Biomedical Engineering, PLoS ONE and Journal of Neural Engineering.

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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