Gregory Kramer

2.6k citations
26 papers · 1.9k · h-index 15

Impact in

Papers in

Gregory Kramer

26 papers receiving 1.7k citations

Peers

Gregory Kramer
Comparison fields: 5 of 126
  • Cognitive Neuroscience 1.1k
  • Human-Computer Interaction 347
  • Experimental and Cognitive Psychology 475
  • Signal Processing 337
  • Computer Vision and Pattern Recognition 475
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John H. Flowers United States
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Citations per field
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Citations per year

Countries citing papers authored by Gregory Kramer

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Kramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Gregory Kramer, 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 Gregory Kramer Line = papers co-authored together Gregory Kramer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992493
2 1995443
3
Sonific ation Report: Status of the Field and Research Agenda
2010205
4
An introduction to auditory display
1994179
5 1999100
6 200598
7 200266
8
Insight Dialogue: The Interpersonal Path to Freedom
200757
9 200248
10 201439
11
Psychophysical scaling of sonification mappings
200036
12 201530
13 201524
14
Sonification and the interaction of perceptual dimensions: Can the data get lost in the map?
200020
15
Audification: The Use of Sound to Display Multivariate Data
199119
16
Sound and communication in virtual reality
199514
17 200411
18 20139
19 20058
20 20227

About Gregory Kramer

Gregory Kramer is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Signal Processing and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 1.9k indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (9 papers), Multisensory perception and integration (7 papers), Telemedicine and Telehealth Implementation (4 papers), Music Technology and Sound Studies (4 papers), Noise Effects and Management (3 papers), Music and Audio Processing (3 papers), Neuroscience and Music Perception (3 papers) and Hearing Loss and Rehabilitation (3 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Human-Computer Interaction (347 citations), Experimental and Cognitive Psychology (475 citations), Signal Processing (337 citations) and Computer Vision and Pattern Recognition (475 citations). Gregory Kramer has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Albert S. Bregman, Tim Perkis, Bruce N. Walker, Stephen Barrass, Joseph Wayand, John G. Neuhoff, Perry R. Cook, John H. Flowers, Terri L. Bonebright and David D. Luxton. Their work appears in journals such as ACM Transactions on Applied Perception, Multimedia Systems, Mindfulness, Journal of Child and Adolescent Psychopharmacology and Leonardo Music Journal.

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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