David M. Thompson

1.0k citations
10 papers · 743 indexed · 1 hit paper · h-index 6
Topics
Noise Effects and Management (2 papers)Hearing Loss and Rehabilitation (2 papers)Economic and Environmental Valuation (1 paper)

In The Last Decade

David M. Thompson

9 papers receiving 676 citations

Hit Papers

The CIPIC HRTF database20022026201020182002200400600

Peers

David M. Thompson
Comparison fields: 5 of 81
  • Cognitive Neuroscience 507
  • Signal Processing 439
  • Speech and Hearing 125
  • Computational Mechanics 110
  • Biomedical Engineering 102
Replace Jukka Pätynen with:
Jukka Pätynen Finland
Stefan Weinzierl Germany
Keith D. Martin United States
Clemen Boje Jensen Denmark
Bosun Xie China
Jürgen Peissig Germany
Michael Friis Sørensen Denmark
Nick Zacharov Netherlands
Joseph G. Desloge United States
Yukio Iwaya Japan
David M. Thompson relative to Jukka Pätynen Finland Jukka Pätynen's profile →
Citations per field
00.5×1.5×
Jukka Pätynen · 1×
Citations per year

Countries citing papers authored by David M. Thompson

Since Specialization
Citations

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

Fields of papers citing papers by David M. Thompson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Thompson

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Thompson. A scholar is included among the top collaborators of David M. Thompson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David M. Thompson. David M. Thompson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 4
2 2
3
Calculating Subset Weighted Analysis Using PROC SURVEYFREQ and GENMOD
11
4 26
5
Latent Class Analysis in SAS®: Promise, Problems, and Programming
4
6
The CIPIC HRTF databasebreakdown →
611
7 38
8 0
9 12
10
Riprap design for wind-wave attack, a laboratory study in random waves
35

About David M. Thompson

David M. Thompson is a scholar working on Speech and Hearing, Statistics and Probability and Sensory Systems, having authored 10 papers that have together received 743 indexed citations. Recurring topics across this work include Noise Effects and Management (2 papers), Hearing Loss and Rehabilitation (2 papers) and Economic and Environmental Valuation (1 paper). The work is most often cited by research in Signal Processing (439 citations), Cognitive Neuroscience (507 citations) and Speech and Hearing (125 citations). David M. Thompson has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Richard O. Duda, V. Ralph Algazi, C. Avendaño, Paul M. Darden, Jessica Hale, Tõnis Arroval, Aleks Aidla, Timo Sajavaara, Jun Lu and Mikko Ritala. Their work appears in journals such as Thin Solid Films, Journal of Electron Spectroscopy and Related Phenomena and The Ecumenical Review.

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

Rankless by CCL
2026