Michael Halstead
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Plant Science top 10%
- Smart Agriculture and AI
Papers in ⓘ
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- Video Surveillance and Tracking Methods 6
- Advanced Image and Video Retrieval Techniques 6
- Human Pose and Action Recognition 3
- Advanced Neural Network Applications 3
- Face recognition and analysis 2
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- Smart Agriculture and AI 11
- Co-authors
- Chris McCool (13 shared papers)Clinton Fookes (8 shared papers)Simon Denman (8 shared papers)Alireza Ahmadi (5 shared papers)Tristán Pérez (1 shared paper)Sridha Sridharan (5 shared papers)Thomas Läbe (3 shared papers)Cyrill Stachniss (3 shared papers)
- Journals
- IEEE Robotics and Automation Letters (6 papers)Pattern Recognition Letters (1 paper)Frontiers in Plant Science (1 paper)The International Journal of Robotics Research (1 paper)Journal of Visual Communication and Image Representation (1 paper)
- Partner nations
- GermanyAustraliaUnited States
In The Last Decade
Michael Halstead
20 papers receiving 313 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 136
- Plant Science 197
- Analytical Chemistry 35
- Environmental Engineering 33
- Industrial and Manufacturing Engineering 19
Countries citing papers authored by Michael Halstead
This map shows the geographic impact of Michael Halstead'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 Michael Halstead with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Halstead more than expected).
Fields of papers citing papers by Michael Halstead
This network shows the impact of papers produced by Michael Halstead. 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 Michael Halstead. The network helps show where Michael Halstead may publish in the future.
Co-authors
The 24 scholars most cited alongside Michael Halstead, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 97 | |
| 2 | 2022 | 34 | |
| 3 | 2021 | 26 | |
| 4 | 2022 | 24 | |
| 5 | 2014 | 22 | |
| 6 | 2015 | 21 | |
| 7 | 2022 | 17 | |
| 8 | 2020 | 16 | |
| 9 | 2023 | 14 | |
| 10 | 2012 | 11 | |
| 11 | Tampered Speaker Inconsistency Detection with Phonetically Aware Audio-visual Features | 2019 | 9 |
| 12 | 2018 | 9 | |
| 13 | 2024 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2018 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2015 | 1 | |
| 20 | 2025 | 1 |
About Michael Halstead
Michael Halstead is a scholar working on Computer Vision and Pattern Recognition, Plant Science, Aerospace Engineering, Artificial Intelligence and Ecology, having authored 20 papers that have together received 325 indexed citations. Recurring topics across this work include Smart Agriculture and AI (11 papers), Video Surveillance and Tracking Methods (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Robotics and Sensor-Based Localization (5 papers), Remote Sensing in Agriculture (3 papers), Human Pose and Action Recognition (3 papers), Advanced Neural Network Applications (3 papers) and Face recognition and analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (136 citations), Plant Science (197 citations), Analytical Chemistry (35 citations), Environmental Engineering (33 citations) and Industrial and Manufacturing Engineering (19 citations). Michael Halstead has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Chris McCool, Clinton Fookes, Simon Denman, Alireza Ahmadi, Tristán Pérez, Sridha Sridharan, Thomas Läbe, Cyrill Stachniss, Oliver Schmittmann and Federico Magistri. Their work appears in journals such as IEEE Robotics and Automation Letters, Pattern Recognition Letters, Frontiers in Plant Science, The International Journal of Robotics Research and Journal of Visual Communication and Image Representation.
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.