Joseph K. Kearney

3.0k citations
104 papers · 2.2k indexed · h-index 27

Joseph K. Kearney

98 papers receiving 2.1k citations

Peers

Joseph K. Kearney
Comparison fields: 5 of 124
  • Computer Vision and Pattern Recognition 567
  • Cognitive Neuroscience 528
  • Human-Computer Interaction 527
  • Social Psychology 466
  • Safety, Risk, Reliability and Quality 450
Replace Jwu‐Sheng Hu with:
Jwu‐Sheng Hu Taiwan
Ronald R. Mourant United States
Anne‐Hélène Olivier France
John P. Wann United Kingdom
Daniel W. Carruth United States
Zhigang Deng United States
Max Mulder Netherlands
J.E. Bos Netherlands
George J. Andersen United States
Moshe Eizenman Canada
Joseph K. Kearney relative to Jwu‐Sheng Hu Taiwan Jwu‐Sheng Hu's profile →
Citations per field
00.5×1.5×2.3×
Jwu‐Sheng Hu · 1×
Citations per year

Countries citing papers authored by Joseph K. Kearney

Since Specialization
Citations

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

Fields of papers citing papers by Joseph K. Kearney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph K. Kearney

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph K. Kearney. A scholar is included among the top collaborators of Joseph K. Kearney 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 Joseph K. Kearney. Joseph K. Kearney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 3
4 1
5 6
6 9
7 27
8
Pedestrian Road Crossing in Nighttime Lighting Conditions Using an Immersive Simulator
1
9 9
10 65
11 32
12 15
13 27
14 34
15 56
16 64
17 51
18
Steering Autonomous Driving Agents Through Intersections in Virtual Urban Environments.
7
19
Strolling down the avenue with a few close friends
9
20
Directable behavior models for virtual driving scenarios
28

About Joseph K. Kearney

Joseph K. Kearney is a scholar working on Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Safety, Risk, Reliability and Quality, having authored 104 papers that have together received 2.2k indexed citations. Recurring topics across this work include Human Motion and Animation (16 papers), Evacuation and Crowd Dynamics (14 papers) and Traffic and Road Safety (13 papers). The work is most often cited by research in Human-Computer Interaction (527 citations), Safety, Risk, Reliability and Quality (450 citations) and Computer Vision and Pattern Recognition (567 citations). Joseph K. Kearney has collaborated with scholars based in United States, Ireland and Canada. Frequent co-authors include Jodie M. Plumert, James F. Cremer, Daniel Boley, William B. Thompson, Timofey Grechkin, Elizabeth E. O’Neal, Hongling Wang, Peter Willemsen, Yuanyuan Jiang and Gerald M. Siegel. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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