John E. Ball
Impact in
-
- Advanced Neural Network Applications
- Robotic Path Planning Algorithms
- Media Technology top 2%
- Remote-Sensing Image Classification
Papers in
-
- Advanced Neural Network Applications 16
- Co-authors
- Simegnew Yihunie Alaba (18 shared papers)L.M. Bruce (12 shared papers)Reuben F. Burch (25 shared papers)Harish Chander (20 shared papers)Pan Wei (9 shared papers)Tony Luczak (11 shared papers)Ali Cafer Gürbüz (14 shared papers)Bo Tang (13 shared papers)
- Journals
- Electronics (13 papers)Sensors (11 papers)IEEE Access (6 papers)SAE technical papers on CD-ROM/SAE technical paper series (4 papers)ACM SIGPLAN Notices (2 papers)
- Partner nations
- United StatesNetherlandsMalaysia
In The Last Decade
John E. Ball
152 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 153
- Computer Vision and Pattern Recognition 482
- Media Technology 164
- Automotive Engineering 218
- Physical Therapy, Sports Therapy and Rehabilitation 53
- Orthopedics and Sports Medicine 84
Countries citing papers authored by John E. Ball
This map shows the geographic impact of John E. Ball'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 John E. Ball with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. Ball more than expected).
Fields of papers citing papers by John E. Ball
This network shows the impact of papers produced by John E. Ball. 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 John E. Ball. The network helps show where John E. Ball may publish in the future.
Co-authors
The 25 scholars most cited alongside John E. Ball, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 172 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 91 | |
| 2 | 2019 | 81 | |
| 3 | 2020 | 64 | |
| 4 | 2022 | 56 | |
| 5 | 2022 | 50 | |
| 6 | 2019 | 49 | |
| 7 | 2022 | 46 | |
| 8 | 2023 | 43 | |
| 9 | 2022 | 41 | |
| 10 | 2024 | 35 | |
| 11 | 1976 | 33 | |
| 12 | 2022 | 32 | |
| 13 | 1979 | 32 | |
| 14 | 2022 | 29 | |
| 15 | 2007 | 29 | |
| 16 | 2007 | 28 | |
| 17 | 2022 | 27 | |
| 18 | 2020 | 26 | |
| 19 | 2007 | 25 | |
| 20 | 2019 | 25 |
About John E. Ball
John E. Ball is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Automotive Engineering and Aerospace Engineering, having authored 172 papers that have together received 1.7k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (18 papers), Remote-Sensing Image Classification (17 papers), Advanced Neural Network Applications (16 papers), Muscle activation and electromyography studies (12 papers), Advanced Sensor and Energy Harvesting Materials (11 papers), Identification and Quantification in Food (10 papers), Remote Sensing and Land Use (9 papers) and Water Quality Monitoring Technologies (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (482 citations), Media Technology (164 citations), Automotive Engineering (218 citations), Physical Therapy, Sports Therapy and Rehabilitation (53 citations) and Orthopedics and Sports Medicine (84 citations). John E. Ball has collaborated with scholars based in United States, Netherlands and Malaysia. Frequent co-authors include Simegnew Yihunie Alaba, L.M. Bruce, Reuben F. Burch, Harish Chander, Pan Wei, Tony Luczak, Ali Cafer Gürbüz, Bo Tang, Derek T. Anderson and Brian Smith. Their work appears in journals such as Electronics, Sensors, IEEE Access, SAE technical papers on CD-ROM/SAE technical paper series and ACM SIGPLAN Notices.
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.