Michael Halstead
Impact in
- Plant Science top 10%
- Smart Agriculture and AI
-
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Digital Media Forensic Detection
Papers in
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- Video Surveillance and Tracking Methods 7
- Advanced Neural Network Applications 3
- Advanced Vision and Imaging 1
- Digital Media Forensic Detection 1
-
- Smart Agriculture and AI 14
- Co-authors
- Chris McCool (15 shared papers)Simon Denman (9 shared papers)Clinton Fookes (9 shared papers)Alireza Ahmadi (6 shared papers)Tristán Pérez (1 shared paper)Sridha Sridharan (6 shared papers)Maren Bennewitz (1 shared paper)Cyrill Stachniss (3 shared papers)
- Journals
- IEEE Robotics and Automation Letters (6 papers)The International Journal of Robotics Research (1 paper)Journal of Visual Communication and Image Representation (1 paper)Pattern Recognition Letters (1 paper)Advances in computer vision and pattern recognition (1 paper)
- Partner nations
- GermanyAustraliaUnited States
In The Last Decade
Michael Halstead
23 papers receiving 436 citations
Peers
Comparison fields: 5 of 31
- Plant Science 284
- Computer Vision and Pattern Recognition 167
- Computational Mechanics 52
- Geology 12
- Signal Processing 8
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 25 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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 108 | |
| 2 | 2021 | 40 | |
| 3 | 2022 | 40 | |
| 4 | 2021 | 29 | |
| 5 | 2014 | 26 | |
| 6 | 2022 | 26 | |
| 7 | 2015 | 25 | |
| 8 | 2023 | 24 | |
| 9 | 2020 | 20 | |
| 10 | 2022 | 20 | |
| 11 | 2012 | 12 | |
| 12 | Tampered Speaker Inconsistency Detection with Phonetically Aware Audio-visual Features | 2019 | 12 |
| 13 | 2021 | 11 | |
| 14 | 2018 | 10 | |
| 15 | 2022 | 8 | |
| 16 | 2024 | 8 | |
| 17 | 2024 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2018 | 4 | |
| 20 | 2017 | 3 |
About Michael Halstead
Michael Halstead is a scholar working on Computer Vision and Pattern Recognition, Plant Science, Computational Mechanics, Artificial Intelligence and Nuclear Energy and Engineering, having authored 23 papers that have together received 443 indexed citations. Recurring topics across this work include Smart Agriculture and AI (14 papers), Video Surveillance and Tracking Methods (7 papers), 3D Shape Modeling and Analysis (3 papers), Advanced Neural Network Applications (3 papers), Speech Recognition and Synthesis (1 paper), Advanced Vision and Imaging (1 paper) and Digital Media Forensic Detection (1 paper). The work is most often cited by research in Plant Science (284 citations), Computer Vision and Pattern Recognition (167 citations), Computational Mechanics (52 citations), Geology (12 citations) and Signal Processing (8 citations). Michael Halstead has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Chris McCool, Simon Denman, Clinton Fookes, Alireza Ahmadi, Tristán Pérez, Sridha Sridharan, Maren Bennewitz, Cyrill Stachniss, Thomas Läbe and Oliver Schmittmann. Their work appears in journals such as IEEE Robotics and Automation Letters, The International Journal of Robotics Research, Journal of Visual Communication and Image Representation, Pattern Recognition Letters and Advances in computer vision and pattern recognition.
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.