David Powers

10.2k citations
206 papers · 2.8k · h-index 28

Impact in

Papers in

David Powers

179 papers receiving 2.6k citations

Peers

David Powers
Comparison fields: 5 of 163
  • Cognitive Neuroscience 570
  • Signal Processing 346
  • Artificial Intelligence 1.0k
  • Computer Vision and Pattern Recognition 582
  • Ocean Engineering 282
Replace Gordon Stoll with:
Gordon Stoll United States
Nigel Goddard United Kingdom
Sridhar Mahadevan United States
Charles Rosenberg United States
Kevin Warwick United Kingdom
Marc Toussaint Germany
Bharath Chandrasekaran United States
Anthony R. Cassandra United States
Alex M. Andrew United Kingdom
Laxmidhar Behera India
David Powers relative to Gordon Stoll United States Gordon Stoll's profile →
Citations per field
00.5×50×100×139×
Gordon Stoll · 1×
Citations per year

Countries citing papers authored by David Powers

Since Specialization
Citations

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

Fields of papers citing papers by David Powers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 206 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998231
2 2008172
3 1967156
4
Measuring semantic similarity in the taxonomy of WordNet
2005124
5 201795
6 200785
7
Verb similarity on the taxonomy of WordNet
200682
8 198969
9 201566
10 201855
11 201554
12 201253
13 201046
14 198345
15
A unified taxonomic framework for information visualization
200344
16 201241
17 200541
18 202140
19 201839
20 201537

About David Powers

David Powers is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Signal Processing and Information Systems, having authored 206 papers that have together received 2.8k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (24 papers), EEG and Brain-Computer Interfaces (20 papers), Neural Networks and Applications (18 papers), Robotic Path Planning Algorithms (17 papers), Topic Modeling (16 papers), Blind Source Separation Techniques (16 papers), Evolutionary Algorithms and Applications (15 papers) and Speech and dialogue systems (13 papers). The work is most often cited by research in Cognitive Neuroscience (570 citations), Signal Processing (346 citations), Artificial Intelligence (1.0k citations), Computer Vision and Pattern Recognition (582 citations) and Ocean Engineering (282 citations). David Powers has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Dongqiang Yang, Richard Leibbrandt, Adham Atyabi, Trent Lewis, Somaiyeh MahmoudZadeh, Sean P. Fitzgibbon, Darius Pfitzner, Karl Sammut, Amirmehdi Yazdani and Kenneth J. Pope. Their work appears in journals such as Forensic Science International Genetics, Neurocomputing, IBM Journal of Research and Development, Lecture notes in computer science and IEEE Transactions on Biomedical 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.

Explore authors with similar magnitude of impact