Daniel Rocha
Impact in
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- Hepatitis C virus research
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- Industrial Vision Systems and Defect Detection
Papers in
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- Advanced Neural Network Applications 3
- Visual Attention and Saliency Detection 2
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- Industrial Vision Systems and Defect Detection 4
- Co-authors
- Jorge Umberto Béria (1 shared paper)Aírton Tetelbom Stein (1 shared paper)Jennifer P. Teixeira (2 shared papers)Vagner Ricardo Lunge (1 shared paper)Daniel Simon (1 shared paper)P.M.P. Salomé (2 shared papers)Vı́tor Carvalho (4 shared papers)Eva Oliveira (3 shared papers)
- Journals
- Applied Sciences (1 paper)IEEE Journal of Photovoltaics (1 paper)Nature Communications (1 paper)Translational Psychiatry (1 paper)Sensors (1 paper)
- Partner nations
- PortugalUnited StatesIndia
In The Last Decade
Daniel Rocha
12 papers receiving 89 citations
Peers
Comparison fields: 5 of 52
- Hepatology 18
- Industrial and Manufacturing Engineering 16
- Renewable Energy, Sustainability and the Environment 20
- Computer Vision and Pattern Recognition 13
- Epidemiology 21
Countries citing papers authored by Daniel Rocha
This map shows the geographic impact of Daniel Rocha'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 Daniel Rocha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Rocha more than expected).
Fields of papers citing papers by Daniel Rocha
This network shows the impact of papers produced by Daniel Rocha. 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 Daniel Rocha. The network helps show where Daniel Rocha may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Rocha, 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 | 20 | |
| 2 | 2011 | 19 | |
| 3 | 2024 | 11 | |
| 4 | 2022 | 9 | |
| 5 | Development of an Automatic Combination System of Clothing Parts for Blind People: MyEyes | 2018 | 6 |
| 6 | 2023 | 6 | |
| 7 | 2022 | 5 | |
| 8 | 2024 | 4 | |
| 9 | 2017 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 1 | |
| 12 | 2017 | 1 |
About Daniel Rocha
Daniel Rocha is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Epidemiology, Cognitive Neuroscience and Artificial Intelligence, having authored 12 papers that have together received 89 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (4 papers), Advanced Neural Network Applications (3 papers), Photovoltaic System Optimization Techniques (2 papers), Visual Attention and Saliency Detection (2 papers), Tactile and Sensory Interactions (2 papers), HIV Research and Treatment (1 paper), Genetic Associations and Epidemiology (1 paper) and Bipolar Disorder and Treatment (1 paper). The work is most often cited by research in Hepatology (18 citations), Industrial and Manufacturing Engineering (16 citations), Renewable Energy, Sustainability and the Environment (20 citations), Computer Vision and Pattern Recognition (13 citations) and Epidemiology (21 citations). Daniel Rocha has collaborated with scholars based in Portugal, United States and India. Frequent co-authors include Jorge Umberto Béria, Aírton Tetelbom Stein, Jennifer P. Teixeira, Vagner Ricardo Lunge, Daniel Simon, P.M.P. Salomé, Vı́tor Carvalho, Eva Oliveira, Paulo A. Fernandes and Joaquim Gonçalves. Their work appears in journals such as Applied Sciences, IEEE Journal of Photovoltaics, Nature Communications, Translational Psychiatry and Sensors.
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.