Michael Halstead

482 total citations
20 papers, 325 citations indexed

About

Michael Halstead is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Aerospace Engineering. According to data from OpenAlex, Michael Halstead has authored 20 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 11 papers in Plant Science and 5 papers in Aerospace Engineering. Recurrent topics in Michael Halstead's work include Smart Agriculture and AI (11 papers), Video Surveillance and Tracking Methods (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Michael Halstead is often cited by papers focused on Smart Agriculture and AI (11 papers), Video Surveillance and Tracking Methods (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Michael Halstead collaborates with scholars based in Germany, Australia and United States. Michael Halstead's co-authors include Chris McCool, Simon Denman, Clinton Fookes, Alireza Ahmadi, Tristán Pérez, Sridha Sridharan, Thomas Läbe, Cyrill Stachniss, Oliver Schmittmann and Jens Behley and has published in prestigious journals such as Frontiers in Plant Science, The International Journal of Robotics Research and Pattern Recognition Letters.

In The Last Decade

Michael Halstead

20 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Halstead Germany 10 197 136 43 43 36 20 325
Arun N. Sivakumar United States 7 160 0.8× 87 0.6× 93 2.2× 59 1.4× 20 0.6× 12 333
Yanfeng Wang China 13 240 1.2× 67 0.5× 25 0.6× 34 0.8× 20 0.6× 26 425
Yueping Sun China 11 169 0.9× 70 0.5× 28 0.7× 15 0.3× 25 0.7× 27 501
Luís Santos Portugal 10 218 1.1× 171 1.3× 40 0.9× 105 2.4× 25 0.7× 20 410
Qinghua Lu China 10 229 1.2× 111 0.8× 19 0.4× 25 0.6× 30 0.8× 30 396
Peter Christiansen Denmark 7 126 0.6× 80 0.6× 68 1.6× 89 2.1× 13 0.4× 12 357
Jiahua Wu China 10 214 1.1× 66 0.5× 22 0.5× 31 0.7× 22 0.6× 21 319
Sandro Augusto Magalhães Portugal 11 313 1.6× 130 1.0× 50 1.2× 59 1.4× 37 1.0× 19 483
Dashuai Wang China 8 178 0.9× 76 0.6× 75 1.7× 61 1.4× 82 2.3× 18 400
Jorge Mendes Portugal 10 220 1.1× 45 0.3× 69 1.6× 37 0.9× 26 0.7× 14 335

Countries citing papers authored by Michael Halstead

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michael Halstead

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

All Works

20 of 20 papers shown
1.
Magistri, Federico, Thomas Läbe, Yue Pan, et al.. (2025). A Dataset and Benchmark for Shape Completion of Fruits for Agricultural Robotics. 16774–16780. 1 indexed citations
2.
Ahmadi, Alireza, et al.. (2024). BonnBot-I Plus: A Bio-Diversity Aware Precise Weed Management Robotic Platform. IEEE Robotics and Automation Letters. 9(7). 6560–6567. 6 indexed citations
3.
Halstead, Michael, et al.. (2024). Knowledge Distillation for Efficient Instance Semantic Segmentation with Transformers. 5432–5439. 2 indexed citations
4.
Halstead, Michael, et al.. (2024). A cross-domain challenge with panoptic segmentation in agriculture. The International Journal of Robotics Research. 43(8). 1151–1174. 3 indexed citations
5.
Halstead, Michael, et al.. (2023). PAg-NeRF: Towards Fast and Efficient End-to-End Panoptic 3D Representations for Agricultural Robotics. IEEE Robotics and Automation Letters. 9(1). 907–914. 14 indexed citations
6.
Halstead, Michael, et al.. (2023). Panoptic One-Click Segmentation: Applied to Agricultural Data. IEEE Robotics and Automation Letters. 8(5). 2478–2485. 2 indexed citations
7.
Magistri, Federico, Ignacio Vizzo, Thomas Läbe, et al.. (2022). Contrastive 3D Shape Completion and Reconstruction for Agricultural Robots Using RGB-D Frames. IEEE Robotics and Automation Letters. 7(4). 10120–10127. 34 indexed citations
8.
Halstead, Michael, et al.. (2022). Explicitly Incorporating Spatial Information to Recurrent Networks for Agriculture. IEEE Robotics and Automation Letters. 7(4). 10017–10024. 6 indexed citations
9.
Ahmadi, Alireza, Michael Halstead, & Chris McCool. (2022). BonnBot-I: A Precise Weed Management and Crop Monitoring Platform. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 9202–9209. 17 indexed citations
10.
Ahmadi, Alireza, Michael Halstead, & Chris McCool. (2022). Towards Autonomous Visual Navigation in Arable Fields. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 6585–6592. 24 indexed citations
11.
Halstead, Michael, et al.. (2021). Crop Agnostic Monitoring Driven by Deep Learning. Frontiers in Plant Science. 12. 786702–786702. 26 indexed citations
12.
Halstead, Michael, Simon Denman, Clinton Fookes, & Chris McCool. (2020). Fruit Detection in the Wild: The Impact of Varying Conditions and Cultivar. 1–8. 16 indexed citations
13.
Korshunov, Pavel, Michael Halstead, Diego Castán, et al.. (2019). Tampered Speaker Inconsistency Detection with Phonetically Aware Audio-visual Features. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 9 indexed citations
14.
Halstead, Michael, Simon Denman, Sridha Sridharan, Yingli Tian, & Clinton Fookes. (2018). Multimodal clothing recognition for semantic search in unconstrained surveillance imagery. Journal of Visual Communication and Image Representation. 58. 439–452. 4 indexed citations
15.
Halstead, Michael, Chris McCool, Simon Denman, Tristán Pérez, & Clinton Fookes. (2018). Fruit Quantity and Ripeness Estimation Using a Robotic Vision System. IEEE Robotics and Automation Letters. 3(4). 2995–3002. 97 indexed citations
16.
Halstead, Michael, Simon Denman, Clinton Fookes, Yingli Tian, & Mark Nixon. (2018). Semantic Person Retrieval in Surveillance Using Soft Biometrics: AVSS 2018 Challenge II. ePrints Soton (University of Southampton). 1–6. 9 indexed citations
17.
Denman, Simon, Michael Halstead, Clinton Fookes, & Sridha Sridharan. (2015). Searching for semantic person queries using channel representations. 1568–1572. 1 indexed citations
18.
Denman, Simon, Michael Halstead, Clinton Fookes, & Sridha Sridharan. (2015). Searching for people using semantic soft biometric descriptions. Pattern Recognition Letters. 68. 306–315. 21 indexed citations
19.
Halstead, Michael, Simon Denman, Sridha Sridharan, & Clinton Fookes. (2014). Locating People in Video from Semantic Descriptions: A New Database and Approach. 4501–4506. 22 indexed citations
20.
Denman, Simon, Michael Halstead, Alina Bialkowski, Clinton Fookes, & Sridha Sridharan. (2012). Can You Describe Him for Me? A Technique for Semantic Person Search in Video. 1–8. 11 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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