David Looney

49 papers receiving 2.1k citations

Peers

David Looney
Comparison fields: 5 of 115
  • Cognitive Neuroscience 1.2k
  • Signal Processing 360
  • Human-Computer Interaction 160
  • Cellular and Molecular Neuroscience 341
  • Cardiology and Cardiovascular Medicine 281
Replace Yasue Mitsukura with:
Yasue Mitsukura Japan
Zhuliang Yu China
Jean-Marc Vésin Switzerland
Cheolsoo Park South Korea
Hong-Bo Xie China
Gaoxiang Ouyang China
Stéphane Bonnet France
Nadia Mammone Italy
Javier Escudero United Kingdom
Ramaswamy Palaniappan United Kingdom
David Looney relative to Yasue Mitsukura Japan Yasue Mitsukura's profile →
Citations per field
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Citations per year

Countries citing papers authored by David Looney

Since Specialization
Citations

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

Fields of papers citing papers by David Looney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012203
2 2012187
3 2015154
4 2009150
5 2013149
6 2017123
7 2014123
8 201178
9 201174
10 201668
11 201664
12 201764
13 201261
14 201058
15 201351
16 201451
17 201538
18 201633
19 201532
20 201332

About David Looney

David Looney is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Signal Processing and Biomedical Engineering, having authored 51 papers that have together received 2.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (24 papers), Neural dynamics and brain function (17 papers), Neuroscience and Neural Engineering (10 papers), Machine Fault Diagnosis Techniques (8 papers), Blind Source Separation Techniques (8 papers), Heart Rate Variability and Autonomic Control (8 papers), Structural Health Monitoring Techniques (6 papers) and Non-Invasive Vital Sign Monitoring (5 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Signal Processing (360 citations), Human-Computer Interaction (160 citations), Cellular and Molecular Neuroscience (341 citations) and Cardiology and Cardiovascular Medicine (281 citations). David Looney has collaborated with scholars based in United Kingdom, Denmark and United States. Frequent co-authors include Danilo P. Mandic, Preben Kidmose, Cheolsoo Park, Valentin Goverdovsky, Michael Ungstrup, Alireza Ahrabian, Mike Lind Rank, Naveed ur Rehman, Karin Rosenkranz and Mary J. Morrell. Their work appears in journals such as IEEE Sensors Journal, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Signal Processing, The Journal of the Acoustical Society of America and Neurocomputing.

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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