David J. Getty

1.9k citations
33 papers · 1.5k indexed · h-index 20

Impact in

    • Neuroscience and Music Perception
    • Hearing Loss and Rehabilitation
    • Neural dynamics and brain function
  • Music top 2%

Papers in

David J. Getty

33 papers receiving 1.4k citations

Peers

David J. Getty
Comparison fields: 5 of 150
  • Cognitive Neuroscience 534
  • Music 59
  • Statistics and Probability 116
  • Family Practice 31
  • Experimental and Cognitive Psychology 177
Replace Karla K. Evans with:
Karla K. Evans United States
Kenji Itoh Japan
Trafton Drew United States
Laura R. Marusich United States
Markus Sommer Austria
Jason S. McCarley United States
Calvin F. Nodine United States
John A. Michon Netherlands
Richard G. Swensson United States
Miguel A. Garcı́a-Pérez Spain
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Citations per field
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Citations per year

Countries citing papers authored by David J. Getty

Since Specialization
Citations

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

Fields of papers citing papers by David J. Getty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201180
2 200731
3 200217
4 200212
5 20022
6 20019
7 199718
8 199757
9 19972
10 199519
11 1995115
12 19926
13 199250
14 199196
15 19897
16 1988124
17 19881
18
3-D Displays Perceptual Research and Applications to Military Systems
19821
19 1979157
20 197851

About David J. Getty

David J. Getty is a scholar working on Human-Computer Interaction, Radiological and Ultrasound Technology, Music, Artificial Intelligence and Signal Processing, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Neuroscience and Music Perception (3 papers), Speech and dialogue systems (2 papers), Medical Imaging Techniques and Applications (2 papers), Visual perception and processing mechanisms (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Education and Critical Thinking Development (2 papers). The work is most often cited by research in Cognitive Neuroscience (534 citations), Music (59 citations), Statistics and Probability (116 citations), Family Practice (31 citations) and Experimental and Cognitive Psychology (177 citations). David J. Getty has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include John A. Swets, Ronald M. Pickett, Russell M. Church, Neil Lerner, Barbara J. McNeil, Steven E. Seltzer, David J. Gonthier, Carl J. D’Orsi, David M. Green and Susan F. Whitehead. Their work appears in journals such as Radiology, American Psychologist, Investigative Radiology, Current Eye Research and Academic Radiology.

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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