John E. Ball

2.8k total citations
172 papers, 1.7k citations indexed

About

John E. Ball is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, John E. Ball has authored 172 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 31 papers in Artificial Intelligence and 28 papers in Biomedical Engineering. Recurrent topics in John E. Ball's work include Autonomous Vehicle Technology and Safety (18 papers), Remote-Sensing Image Classification (17 papers) and Advanced Neural Network Applications (16 papers). John E. Ball is often cited by papers focused on Autonomous Vehicle Technology and Safety (18 papers), Remote-Sensing Image Classification (17 papers) and Advanced Neural Network Applications (16 papers). John E. Ball collaborates with scholars based in United States, Netherlands and Malaysia. John E. Ball's 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 James Gafford and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and The Journal of Urology.

In The Last Decade

John E. Ball

150 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
John E. Ball United States	23	469	305	288	222	213	172	1.7k
Hai Huang China	21	266 0.6×	177 0.6×	182 0.6×	101 0.5×	335 1.6×	68	1.3k
John Zelek Canada	19	922 2.0×	105 0.3×	262 0.9×	339 1.5×	76 0.4×	153	1.5k
Rikke Gade Denmark	15	732 1.6×	125 0.4×	154 0.5×	256 1.2×	39 0.2×	34	1.3k
Janez Perš Slovenia	19	683 1.5×	186 0.6×	185 0.6×	207 0.9×	33 0.2×	54	1.3k
Javier Ruiz‐del‐Solar Chile	27	1.1k 2.3×	279 0.9×	440 1.5×	258 1.2×	60 0.3×	143	2.1k
S. N. Omkar India	21	144 0.3×	114 0.4×	260 0.9×	210 0.9×	41 0.2×	83	1.4k
Klaus D. McDonald-Maier United Kingdom	27	729 1.6×	148 0.5×	465 1.6×	311 1.4×	144 0.7×	233	3.0k
Paolo Sommella Italy	22	150 0.3×	208 0.7×	281 1.0×	107 0.5×	129 0.6×	117	1.3k
King Hann Lim Malaysia	18	269 0.6×	135 0.4×	234 0.8×	45 0.2×	100 0.5×	106	1.0k
Hong Wang China	25	654 1.4×	69 0.2×	243 0.8×	421 1.9×	1.1k 5.0×	154	2.3k

Countries citing papers authored by John E. Ball

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of John E. Ball

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

All Works

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20 of 20 papers shown

Senyurek, Volkan, et al.. (2026). Investigation of machine learning based techniques for crop yield estimation of corn and cotton using multi-sensor data fusion. Journal of Agriculture and Food Research. 26. 102676–102676.

Iqbal, Umar, et al.. (2025). Improved Distance Estimation in Dynamic Environments through Multi-Sensor Fusion with Extended Kalman Filter. SAE technical papers on CD-ROM/SAE technical paper series. 1. 1 indexed citations

Alaba, Simegnew Yihunie, Ali Cafer Gürbüz, & John E. Ball. (2024). Emerging Trends in Autonomous Vehicle Perception: Multimodal Fusion for 3D Object Detection. World Electric Vehicle Journal. 15(1). 20–20. 28 indexed citations

Ball, John E., et al.. (2024). Enhancing Longitudinal Velocity Control With Attention Mechanism-Based Deep Deterministic Policy Gradient (DDPG) for Safety and Comfort. IEEE Access. 12. 30765–30780. 8 indexed citations

Shah, Chiranjibi, et al.. (2024). Active detection for fish species recognition in underwater environments. 15–15. 1 indexed citations

Shah, Chiranjibi, et al.. (2023). MI-AFR: multiple instance active learning-based approach for fish species recognition in underwater environments. 24–24. 8 indexed citations

Luczak, Tony, Harish Chander, Charles Freeman, et al.. (2023). The Opportunity to Collect Kinetic Forces During a Round of Golf Using Wearable Devices: Single-Subject Case Study – The Full Swings. 35. 249–253. 1 indexed citations

Ball, John E., et al.. (2023). Classification of Traffic Signaling Motion in Automotive Applications Using FMCW Radar. 5. 1–6. 9 indexed citations

Mason, George L., Daniel W. Carruth, Matthew Doude, et al.. (2022). CaT: CAVS Traversability Dataset for Off-Road Autonomous Driving. IEEE Access. 10. 24759–24768. 25 indexed citations

10.

Hudson, Christopher R., et al.. (2021). Traversability mapping in off-road environment using semantic segmentation. 11–11. 9 indexed citations

11.

Islam, Muhammad Aminul, Derek T. Anderson, Timothy C. Havens, & John E. Ball. (2020). A Generalized Fuzzy Extension Principle and Its Application to Information Fusion. IEEE Transactions on Fuzzy Systems. 29(9). 2726–2738. 3 indexed citations

12.

Tang, Bo, et al.. (2020). Recursive Multi-Scale Image Deraining With Sub-Pixel Convolution Based Feature Fusion and Context Aggregation. IEEE Access. 8. 177495–177505. 4 indexed citations

13.

Ball, John E., et al.. (2019). Semantic Segmentation with Transfer Learning for Off-Road Autonomous Driving. Sensors. 19(11). 2577–2577. 47 indexed citations

14.

Li, Xingyu, Bo Tang, John E. Ball, Matthew Doude, & Daniel W. Carruth. (2019). Rollover-Free Path Planning for Off-Road Autonomous Driving. Electronics. 8(6). 614–614. 13 indexed citations

15.

Ball, John E. & Bo Tang. (2019). Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS). Electronics. 8(7). 748–748. 14 indexed citations

16.

Ball, John E., et al.. (2016). Pullout strength of monocortical and bicortical screws in meta -physeal and diaphyseal regions of the canine humerus. Veterinary and Comparative Orthopaedics and Traumatology. 29(6). 466–474. 10 indexed citations

17.

Ball, John E. & L.M. Bruce. (2007). Digital Mammogram Spiculated Mass Detection and Spicule Segmentation using Level Sets. Conference proceedings. 2007. 4979–4984. 25 indexed citations

18.

Ball, John E. & L.M. Bruce. (2007). Level Set-Based Core Segmentation of Mammographic Masses Facilitating Three Stage (Core, Periphery, Spiculation) Analysis. Conference proceedings. 2007. 819–824. 4 indexed citations

19.

Ball, John E., et al.. (2005). Towards automated segmentation and classification of masses in mammograms. PubMed. 3. 1814–1817. 8 indexed citations

20.

Ball, John E.. (1987). Influence of Fall Planting Dates on the Survival and Growth of Taxus, Thuja, and Viburnum Species. HortScience. 22(6). 1289–1290. 1 indexed citations

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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