David Mota
Impact in
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
- Multimodal Machine Learning Applications
- Media Technology top 1%
- Vehicle License Plate Recognition
Papers in
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- Neurological disorders and treatments 1
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- Image Retrieval and Classification Techniques 2
- Co-authors
- Seiichi Uchida (1 shared paper)Faisal Shafait (1 shared paper)Masakazu Iwamura (1 shared paper)Dìmosthenis Karatzas (1 shared paper)Lluís-Pere de las Heras (1 shared paper)Joan Mas (1 shared paper)Lluís Gómez (1 shared paper)Jon Almazán (1 shared paper)
- Journals
- Integration (1 paper)Advances in intelligent systems and computing (1 paper)BMJ Case Reports (1 paper)Advances in human resources management and organizational development book series (1 paper)Estudo Geral (Universidade de Coimbra) (1 paper)
In The Last Decade
David Mota
7 papers receiving 962 citations
David Mota's Hit Papers
Peers
Comparison fields: 5 of 36
- Computer Vision and Pattern Recognition 960
- Media Technology 386
- Artificial Intelligence 194
- Human-Computer Interaction 22
- Computer Graphics and Computer-Aided Design 9
Countries citing papers authored by David Mota
This map shows the geographic impact of David Mota'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 David Mota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Mota more than expected).
Fields of papers citing papers by David Mota
This network shows the impact of papers produced by David Mota. 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 David Mota. The network helps show where David Mota may publish in the future.
Co-authors
The 16 scholars most cited alongside David Mota, 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 | ICDAR 2013 Robust Reading Competition Hit paper breakdown → | 2013 | 980 |
| 2 | 2020 | 8 | |
| 3 | 2017 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2019 | 1 | |
| 6 | 2017 | 1 | |
| 7 | 2021 | 1 | |
| 8 | 2023 | 0 |
About David Mota
David Mota is a scholar working on Neurology, Computer Vision and Pattern Recognition, Psychiatry and Mental health, Computer Networks and Communications and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 995 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (2 papers), Cell Image Analysis Techniques (1 paper), Mental Health and Psychiatry (1 paper), Neurological disorders and treatments (1 paper), Bipolar Disorder and Treatment (1 paper), Machine Learning in Healthcare (1 paper), Takotsubo Cardiomyopathy and Associated Phenomena (1 paper) and Scheduling and Optimization Algorithms (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (960 citations), Media Technology (386 citations), Artificial Intelligence (194 citations), Human-Computer Interaction (22 citations) and Computer Graphics and Computer-Aided Design (9 citations). David Mota has collaborated with scholars based in Portugal, Brazil and Australia. Frequent co-authors include Seiichi Uchida, Faisal Shafait, Masakazu Iwamura, Dìmosthenis Karatzas, Lluís-Pere de las Heras, Joan Mas, Lluís Gómez, Jon Almazán, César Marcon and João Mota. Their work appears in journals such as Integration, Advances in intelligent systems and computing, BMJ Case Reports, Advances in human resources management and organizational development book series and Estudo Geral (Universidade de Coimbra).
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.