Joseph L. Gabbard

10.2k citations
126 papers · 3.9k indexed · 1 hit paper · h-index 29

Joseph L. Gabbard

120 papers receiving 3.6k citations

Hit Papers

The immune epitope database (IEDB) 3.08032014202620182022250500750

Peers

Joseph L. Gabbard
Comparison fields: 5 of 161
  • Human-Computer Interaction 1.7k
  • Computer Vision and Pattern Recognition 1.6k
  • Social Psychology 984
  • Automotive Engineering 417
  • Safety, Risk, Reliability and Quality 283
Replace Michael Weber with:
Michael Weber Germany
Deborah Hix United States
Satoshı Tadokoro Japan
Zoran Popović United States
Joachim Meyer Israel
Robert J. K. Jacob United States
Michael Gleicher United States
Jennifer Mankoff United States
Andreas Butz Germany
Zhaozheng Yin United States
Joseph L. Gabbard relative to Michael Weber Germany Michael Weber's profile →
Citations per field
00.5×2.8×
Michael Weber · 1×
Citations per year

Countries citing papers authored by Joseph L. Gabbard

Since Specialization
Citations

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

Fields of papers citing papers by Joseph L. Gabbard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph L. Gabbard. 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 Joseph L. Gabbard. The network helps show where Joseph L. Gabbard may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20234
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5 20234
6 20214
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8 20219
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10 202028
11 202020
12 202070
13 202012
14 201910
15 201892
16 201898
17 200769
18 200419
19
Perceptual and Ergonomic Issues in Mobile Augmented Reality for Urban Operations
20035
20 200286

About Joseph L. Gabbard

Joseph L. Gabbard is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Social Psychology, having authored 126 papers that have together received 3.9k indexed citations. Recurring topics across this work include Augmented Reality Applications (65 papers), Virtual Reality Applications and Impacts (58 papers), Human-Automation Interaction and Safety (40 papers), Interactive and Immersive Displays (26 papers), Traffic and Road Safety (19 papers), Spatial Cognition and Navigation (16 papers), Older Adults Driving Studies (7 papers) and Tactile and Sensory Interactions (7 papers). The work is most often cited by research in Human-Computer Interaction (1.7k citations), Computer Vision and Pattern Recognition (1.6k citations) and Social Psychology (984 citations). Joseph L. Gabbard has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Deborah Hix, J. Edward Swan, Hyungil Kim, Doug A. Bowman, Jason Greenbaum, Bjoern Peters, Jason D. Clark, Julia Ponomarenko, Randi Vita and Alessandro Sette.

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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