David Browne

633 citations
32 papers · 496 · h-index 10

Impact in

Papers in

David Browne

29 papers receiving 460 citations

Peers

David Browne
Comparison fields: 5 of 83
  • Cognitive Neuroscience 169
  • Signal Processing 83
  • Cardiology and Cardiovascular Medicine 70
  • Computer Networks and Communications 74
  • Endocrine and Autonomic Systems 18
Replace Fábio Mendonça with:
Fábio Mendonça Portugal
Ling Guan Canada
Hongxing Liu China
R. Shantha Selva Kumari India
Éric Martin France
Xiaoqi Lu China
Eric Robinson United States
Mathieu Galtier France
Shiou-Gwo Lin Taiwan
Sheikh Shanawaz Mostafa Portugal
David Browne relative to Fábio Mendonça Portugal Fábio Mendonça's profile →
Citations per field
00.5×10×15×20×24×
Fábio Mendonça · 1×
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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012154
2 200451
3 200442
4 201137
5 199932
6
SAR ocean feature catalogue
199425
7 201321
8 200518
9 201118
10 20209
11 20219
12 20078
13
Singular Value Decomposition of Correlated MIMO Channels.
20067
14 20057
15 20077
16 20167
17 20176
18 20066
19 20066
20 20026

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 32 papers that have together received 496 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (14 papers), Wireless Communication Networks Research (7 papers), Antenna Design and Analysis (6 papers), Antenna Design and Optimization (4 papers), Advanced Wireless Communication Techniques (4 papers), Neonatal Respiratory Health Research (2 papers), Neuroscience of respiration and sleep (2 papers) and Direction-of-Arrival Estimation Techniques (2 papers). The work is most often cited by research in Cognitive Neuroscience (169 citations), Signal Processing (83 citations), Cardiology and Cardiovascular Medicine (70 citations), Computer Networks and Communications (74 citations) and Endocrine and Autonomic Systems (18 citations). David Browne has collaborated with scholars based in United States, Portugal and United Kingdom. Frequent co-authors include James R. Williamson, Daniel W. Bliss, Jaishree Narayanan, M.P. Fitz, Evan W. Miller, Elaine Clark, Peter W. Macfarlane, Michael P. Fitz, David Hampton and Brian Devine. Their work appears in journals such as Brain and Cognition, Remote Sensing, IEEE Communications Magazine, Epilepsy & Behavior and Reliability Engineering & System Safety.

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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