Neil Sumpter

506 total citations
13 papers, 292 citations indexed

About

Neil Sumpter is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Neil Sumpter has authored 13 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Aerospace Engineering. Recurrent topics in Neil Sumpter's work include Impact of Light on Environment and Health (3 papers), Infrared Target Detection Methodologies (3 papers) and Automated Road and Building Extraction (2 papers). Neil Sumpter is often cited by papers focused on Impact of Light on Environment and Health (3 papers), Infrared Target Detection Methodologies (3 papers) and Automated Road and Building Extraction (2 papers). Neil Sumpter collaborates with scholars based in United Kingdom. Neil Sumpter's co-authors include Andrew J. Bulpitt, A.R. Frost, Stephen Cameron, Richard Vaughan, R.D. Tillett, R. M. Vaughan, Jon Kerridge and Neil Johnson and has published in prestigious journals such as Image and Vision Computing, Robotics and Autonomous Systems and Transportation Research Record Journal of the Transportation Research Board.

In The Last Decade

Neil Sumpter

12 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neil Sumpter United Kingdom 8 124 85 79 49 43 13 292
A.W.G. Duller United Kingdom 9 90 0.7× 45 0.5× 50 0.6× 69 1.4× 28 0.7× 30 358
Martina Umlauft Austria 7 99 0.8× 187 2.2× 51 0.6× 102 2.1× 30 0.7× 21 387
Junguo Zhang China 12 197 1.6× 158 1.9× 44 0.6× 48 1.0× 30 0.7× 62 682
Michael Hale United Kingdom 5 303 2.4× 118 1.4× 74 0.9× 10 0.2× 92 2.1× 8 570
Luis A. Pineda Mexico 15 62 0.5× 50 0.6× 186 2.4× 25 0.5× 17 0.4× 65 542
Micha Sende Austria 4 71 0.6× 175 2.1× 68 0.9× 127 2.6× 28 0.7× 8 375
Chris Crossman Australia 8 52 0.4× 272 3.2× 32 0.4× 22 0.4× 36 0.8× 14 672
Vladimir Dyo United Kingdom 13 62 0.5× 181 2.1× 22 0.3× 72 1.5× 46 1.1× 31 519
Melanie Schranz Austria 7 93 0.8× 219 2.6× 94 1.2× 146 3.0× 28 0.7× 34 464
Ismael García-Varea Spain 15 190 1.5× 56 0.7× 305 3.9× 20 0.4× 28 0.7× 60 605

Countries citing papers authored by Neil Sumpter

Since Specialization
Citations

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

Fields of papers citing papers by Neil Sumpter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil Sumpter

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

All Works

13 of 13 papers shown
1.
Kerridge, Jon, et al.. (2004). Monitoring the Movement of Pedestrians Using Low-cost Infrared Detectors: Initial Findings. Edinburgh Napier Research Repository (Edinburgh Napier University). 11 indexed citations
2.
Kerridge, Jon, et al.. (2004). Using Low-Cost Infrared Detectors to Monitor Movement of Pedestrians: Initial Findings. Transportation Research Record Journal of the Transportation Research Board. 1878(1). 11–18. 9 indexed citations
3.
Johnson, Neil, et al.. (2003). Array-based infra-red detection: an enabling technology for people counting, sensing, tracking, and intelligent detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5071. 465–465. 4 indexed citations
4.
Vaughan, R. M., et al.. (2002). Robot control of animal flocks. 277–282. 24 indexed citations
5.
Sumpter, Neil, et al.. (2001). EFFECTIVE ABOVE GROUND DETECTION USING INTELLIGENT ARRAY BASED DETECTORS. 1 indexed citations
6.
Sumpter, Neil, et al.. (2001). Low cost smart sensors using infrared detector arrays. Sensor Review. 21(4). 283–287. 7 indexed citations
7.
Sumpter, Neil, et al.. (2001). Very low cost infrared array-based detection and imaging systems. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4369. 332–332. 7 indexed citations
8.
Vaughan, Richard, et al.. (2000). Experiments in automatic flock control. Robotics and Autonomous Systems. 31(1-2). 109–117. 140 indexed citations
9.
Sumpter, Neil & Andrew J. Bulpitt. (2000). Learning spatio-temporal patterns for predicting object behaviour. Image and Vision Computing. 18(9). 697–704. 59 indexed citations
10.
Sumpter, Neil, et al.. (1998). Learning Models of Animal Behaviour for a Robotic Sheepdog. Machine Vision and Applications. 577–580. 2 indexed citations
11.
Sumpter, Neil & Andrew J. Bulpitt. (1998). Learning Spatio-Temporal Patterns for Predicting Object Behaviour. 65.1–65.10. 8 indexed citations
12.
Sumpter, Neil, et al.. (1997). Modelling Collective Animal Behaviour using Extended Point Distribution Models.. British Machine Vision Conference. 15 indexed citations
13.
Vaughan, Richard, et al.. (1997). Introducing the Robot Sheepdog Project. International Conference on Robotics and Automation. 5 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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