Max Bain
Impact in
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- Music and Audio Processing
- Speech and Audio Processing
Papers in
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- Multimodal Machine Learning Applications 2
- Human Pose and Action Recognition 2
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- Music and Audio Processing 2
- Speech and Audio Processing 1
- Co-authors
- Andrew Zisserman (3 shared papers)Tengda Han (3 shared papers)Jaesung Huh (1 shared paper)Arsha Nagrani (3 shared papers)Joana Bessa (1 shared paper)Misato Hayashi (1 shared paper)Weidi Xie (2 shared papers)Dora Biro (1 shared paper)
- Journals
- Science Advances (1 paper)International Conference on Robotics and Automation (1 paper)SPIRE - Sciences Po Institutional REpository (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Max Bain
8 papers receiving 155 citations
Peers
Comparison fields: 5 of 53
- Developmental Biology 15
- Signal Processing 37
- Computer Vision and Pattern Recognition 48
- Artificial Intelligence 68
- Health Informatics 2
Countries citing papers authored by Max Bain
This map shows the geographic impact of Max Bain'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 Max Bain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Bain more than expected).
Fields of papers citing papers by Max Bain
This network shows the impact of papers produced by Max Bain. 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 Max Bain. The network helps show where Max Bain may publish in the future.
Co-authors
The 23 scholars most cited alongside Max Bain, 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 | 2023 | 73 | |
| 2 | 2021 | 45 | |
| 3 | 2023 | 16 | |
| 4 | 2022 | 9 | |
| 5 | 2024 | 8 | |
| 6 | Local magnetic actuation based laparoscopic camera for minimally invasive surgery | 2015 | 4 |
| 7 | Free text retrieval systems: a review and evaluation | 1989 | 2 |
| 8 | The Material Cascade. An Alternative Form of Regrind Utilization. | 1992 | 2 |
About Max Bain
Max Bain is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Surgery and Civil and Structural Engineering, having authored 8 papers that have together received 159 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (2 papers), Human Pose and Action Recognition (2 papers), Music and Audio Processing (2 papers), Animal Vocal Communication and Behavior (1 paper), Speech and Audio Processing (1 paper), Natural Language Processing Techniques (1 paper), Library Collection Development and Digital Resources (1 paper) and Minimally Invasive Surgical Techniques (1 paper). The work is most often cited by research in Developmental Biology (15 citations), Signal Processing (37 citations), Computer Vision and Pattern Recognition (48 citations), Artificial Intelligence (68 citations) and Health Informatics (2 citations). Max Bain has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Andrew Zisserman, Tengda Han, Jaesung Huh, Arsha Nagrani, Joana Bessa, Misato Hayashi, Weidi Xie, Dora Biro, Kimberley J. Hockings and Susana Carvalho. Their work appears in journals such as Science Advances, International Conference on Robotics and Automation and SPIRE - Sciences Po Institutional REpository.
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.