Neil Sumpter
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Mechanical Engineering
- Ocean Engineering top 10%
- Co-authors
- Andrew J. BulpittA.R. FrostStephen CameronRichard VaughanR.D. TillettR. M. VaughanJon KerridgeNeil Johnson
- Topics
- Impact of Light on Environment and Health (3 papers)Infrared Target Detection Methodologies (3 papers)Automated Road and Building Extraction (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsOcean Engineering
- Journals
- Image and Vision ComputingRobotics and Autonomous SystemsTransportation Research Record Journal of the Transportation Research Board
- Partner nations
- United Kingdom
In The Last Decade
Neil Sumpter
12 papers receiving 246 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 124
- Computer Networks and Communications 85
- Artificial Intelligence 79
- Mechanical Engineering 49
- Ocean Engineering 43
Countries citing papers authored by Neil Sumpter
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | Monitoring the Movement of Pedestrians Using Low-cost Infrared Detectors: Initial Findings | 11 |
| 2 | 9 | |
| 3 | 4 | |
| 4 | 24 | |
| 5 | EFFECTIVE ABOVE GROUND DETECTION USING INTELLIGENT ARRAY BASED DETECTORS | 1 |
| 6 | 7 | |
| 7 | 7 | |
| 8 | 140 | |
| 9 | 59 | |
| 10 | Learning Models of Animal Behaviour for a Robotic Sheepdog | 2 |
| 11 | 8 | |
| 12 | Modelling Collective Animal Behaviour using Extended Point Distribution Models. | 15 |
| 13 | Introducing the Robot Sheepdog Project | 5 |
About Neil Sumpter
Neil Sumpter is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Global and Planetary Change, having authored 13 papers that have together received 292 indexed citations. Recurring topics across this 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). The work is most often cited by research in Computer Vision and Pattern Recognition (124 citations), Computer Networks and Communications (85 citations) and Ocean Engineering (43 citations). Neil Sumpter has collaborated with scholars based in United Kingdom. Frequent co-authors include Andrew J. Bulpitt, A.R. Frost, Stephen Cameron, Richard Vaughan, R.D. Tillett, R. M. Vaughan, Jon Kerridge and Neil Johnson. Their work appears in journals such as Image and Vision Computing, Robotics and Autonomous Systems and Transportation Research Record Journal of the Transportation Research Board.
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.