Jonathan Binney

13 papers receiving 604 citations

Peers

Jonathan Binney
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 298
  • Ocean Engineering 208
  • Aerospace Engineering 161
  • Computer Networks and Communications 115
  • Artificial Intelligence 157
Replace Aolei Yang with:
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Countries citing papers authored by Jonathan Binney

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Binney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Jonathan Binney, 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 Jonathan Binney Line = papers co-authored together Jonathan Binney links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2013123
2 2010103
3 200887
4 201286
5 201374
6 201348
7 201536
8 201130
9 201321
10 20148
11
Just Add Wheels: Leveraging Commodity Laptop Hardware for Robotics and AI Education
20084
12
Alternative approaches to teaching and learning physical education in secondary schools
20113
13 20111
14 20161
15
Innovative Approaches to Teaching and Learning in Physical Education
20160
16 20110
17
Using parkour within gymnastics
20160

About Jonathan Binney

Jonathan Binney is a scholar working on Computer Vision and Pattern Recognition, Physical Therapy, Sports Therapy and Rehabilitation, Ocean Engineering, Control and Systems Engineering and Artificial Intelligence, having authored 17 papers that have together received 625 indexed citations. Recurring topics across this work include Physical Education and Pedagogy (6 papers), Underwater Vehicles and Communication Systems (5 papers), Robotic Path Planning Algorithms (5 papers), Maritime Navigation and Safety (4 papers), Robotics and Automated Systems (2 papers), Robotics and Sensor-Based Localization (2 papers), Robot Manipulation and Learning (2 papers) and Target Tracking and Data Fusion in Sensor Networks (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (298 citations), Ocean Engineering (208 citations), Aerospace Engineering (161 citations), Computer Networks and Communications (115 citations) and Artificial Intelligence (157 citations). Jonathan Binney has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Gaurav S. Sukhatme, Andreas Krause, Arvind Pereira, Geoffrey A. Hollinger, Winston Wu, Maxim A. Batalin, Lawrence K. Au, William J. Kaiser, Alex Bui and Jonathan Kelly. Their work appears in journals such as Journal of Field Robotics, Artificial Intelligence in Medicine, IEEE Robotics & Automation Magazine, The International Journal of Robotics Research and Autonomous Robots.

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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