David Browne

627 citations
29 papers · 465 indexed · h-index 10

Impact in

Papers in

David Browne

27 papers receiving 435 citations

Peers

David Browne
Comparison fields: 5 of 85
  • Cognitive Neuroscience 159
  • Signal Processing 81
  • Endocrine and Autonomic Systems 24
  • Cardiology and Cardiovascular Medicine 75
  • Computer Networks and Communications 64
Replace Ling Guan with:
Ling Guan Canada
Fábio Mendonça Portugal
Hongxing Liu China
Mathieu Galtier France
Eric Robinson United States
Éric Martin United States
Yung-Hung Wang Taiwan
Shiou-Gwo Lin Taiwan
R. Shantha Selva Kumari India
Alireza Ahrabian United Kingdom
David Browne relative to Ling Guan Canada Ling Guan's profile →
Citations per field
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Citations per year

Countries citing papers authored by David Browne

Since Specialization
Citations

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

Fields of papers citing papers by David Browne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012143
2 200449
3 200441
4 201136
5 199930
6
SAR ocean feature catalogue
199423
7 201321
8 201118
9 200515
10 20209
11 20078
12 20077
13 20217
14
Singular Value Decomposition of Correlated MIMO Channels.
20066
15 20066
16 20066
17 20056
18 20166
19 20175
20 20025

About David Browne

David Browne is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering, Computer Networks and Communications, Signal Processing and Cardiology and Cardiovascular Medicine, having authored 29 papers that have together received 465 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (13 papers), Antenna Design and Analysis (6 papers), Wireless Communication Networks Research (6 papers), Antenna Design and Optimization (4 papers), Advanced Wireless Communication Techniques (3 papers), Energy Harvesting in Wireless Networks (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Neuroscience of respiration and sleep (2 papers). The work is most often cited by research in Cognitive Neuroscience (159 citations), Signal Processing (81 citations), Endocrine and Autonomic Systems (24 citations), Cardiology and Cardiovascular Medicine (75 citations) and Computer Networks and Communications (64 citations). David Browne has collaborated with scholars based in United States, United Kingdom and Portugal. Frequent co-authors include James R. Williamson, Daniel W. Bliss, Jaishree Narayanan, M.P. Fitz, Wenlong Zhu, Brian Devine, David Paydarfar, Elaine Clark, Michael P. Fitz and Evan W. Miller. Their work appears in journals such as Epilepsy & Behavior, Brain and Cognition, Remote Sensing, Reliability Engineering & System Safety and IEEE Communications Magazine.

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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