Joseph L. Cooper

19 papers receiving 774 citations

Peers

Joseph L. Cooper
Comparison fields: 5 of 90
  • Aerospace Engineering 308
  • Computer Vision and Pattern Recognition 256
  • Cognitive Neuroscience 192
  • Social Psychology 142
  • Computer Networks and Communications 129
Replace Jennifer Casper with:
Jennifer Casper United States
Curtis W. Nielsen United States
Greg L. Zacharias United States
Shan Fu China
Brett J. Borghetti United States
Mikhail Medvedev Russia
Walter W. Johnson United States
Michael Wolf United States
David C. Foyle United States
Stephen Hughes United States
Joseph L. Cooper relative to Jennifer Casper United States Jennifer Casper's profile →
Citations per field
00.5×3.3×
Jennifer Casper · 1×
Citations per year

Countries citing papers authored by Joseph L. Cooper

Since Specialization
Citations

This map shows the geographic impact of Joseph L. Cooper'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. Cooper 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. Cooper more than expected).

Fields of papers citing papers by Joseph L. Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph L. Cooper

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 5
2 138
3 33
4 3
5
Analysis and synthesis of bipedal humanoid movement : a physical simulation approach
1
6 45
7 1
8 18
9 2
10
Towards using Unmanned Aerial Vehicles (UAVs) in Wilderness Search and Rescue
5
11 70
12 33
13 50
14 50
15 9
16 55
17 286
18
Supporting Flight Control for UAV-Assisted Wilderness Search and Rescue Through Human Centered Interface Design
1
19 8

About Joseph L. Cooper

Joseph L. Cooper is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 19 papers that have together received 813 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (9 papers), Human-Automation Interaction and Safety (5 papers) and Robotic Path Planning Algorithms (5 papers). The work is most often cited by research in Human-Computer Interaction (88 citations), Computer Vision and Pattern Recognition (256 citations) and Aerospace Engineering (308 citations). Joseph L. Cooper has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Michael A. Goodrich, Julie A. Adams, Gabriel J. Diaz, Bryan S. Morse, Mary Hayhoe, Curtis M. Humphrey, Morgan Quigley, Constantin A. Rothkopf, Dorota Kurowicka and Linda J. Bellamy. Their work appears in journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Reliability Engineering & System Safety and Journal of Vision.

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