Michael Firman
Impact in
- Developmental Biology top 2%
- Animal Vocal Communication and Behavior
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- Computer Graphics and Visualization Techniques
Papers in
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- Advanced Vision and Imaging 4
- Advanced Neural Network Applications 3
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- Anomaly Detection Techniques and Applications 2
- Co-authors
- Gabriel Brostow (11 shared papers)Oisin Mac Aodha (6 shared papers)Simon Julier (2 shared papers)Kate E. Jones (3 shared papers)Alison Fairbrass (2 shared papers)Helena Titheridge (1 shared paper)Carol Williams (1 shared paper)Kate E. Barlow (1 shared paper)
- Journals
- Methods in Ecology and Evolution (1 paper)PLoS Computational Biology (1 paper)UCL Discovery (University College London) (2 papers)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Michael Firman
12 papers receiving 364 citations
Peers
Comparison fields: 5 of 70
- Developmental Biology 122
- Computer Graphics and Computer-Aided Design 47
- Ecological Modeling 48
- Computer Vision and Pattern Recognition 139
- Signal Processing 60
Countries citing papers authored by Michael Firman
This map shows the geographic impact of Michael Firman'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 Firman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Firman more than expected).
Fields of papers citing papers by Michael Firman
This network shows the impact of papers produced by Michael Firman. 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 Firman. The network helps show where Michael Firman may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Firman, 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 | 149 | |
| 2 | 2016 | 98 | |
| 3 | 2018 | 54 | |
| 4 | 2023 | 31 | |
| 5 | 2021 | 14 | |
| 6 | 2018 | 13 | |
| 7 | 2013 | 6 | |
| 8 | 2021 | 5 | |
| 9 | 2018 | 3 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2024 | 1 |
About Michael Firman
Michael Firman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Ecology, Evolution, Behavior and Systematics and Developmental Biology, having authored 12 papers that have together received 380 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Robotics and Sensor-Based Localization (3 papers), Advanced Neural Network Applications (3 papers), Marine animal studies overview (2 papers), Animal Vocal Communication and Behavior (2 papers), Anomaly Detection Techniques and Applications (2 papers), Bat Biology and Ecology Studies (2 papers) and Computer Graphics and Visualization Techniques (2 papers). The work is most often cited by research in Developmental Biology (122 citations), Computer Graphics and Computer-Aided Design (47 citations), Ecological Modeling (48 citations), Computer Vision and Pattern Recognition (139 citations) and Signal Processing (60 citations). Michael Firman has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Gabriel Brostow, Oisin Mac Aodha, Simon Julier, Kate E. Jones, Alison Fairbrass, Helena Titheridge, Carol Williams, Kate E. Barlow, Rory Gibb and Ella Browning. Their work appears in journals such as Methods in Ecology and Evolution, PLoS Computational Biology, UCL Discovery (University College London), DOAJ (DOAJ: Directory of Open Access Journals) and 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
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.