Boyán Bonev
Impact in
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- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Artificial Intelligence top 10%
- Neural Networks and Applications
Papers in
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- Advanced Image and Video Retrieval Techniques 5
- Visual Attention and Saliency Detection 4
- Image Retrieval and Classification Techniques 2
- Graph Theory and Algorithms 2
- Advanced Vision and Imaging 2
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- Natural Language Processing Techniques 2
- Topic Modeling 2
- Co-authors
- Francisco Escolano (8 shared papers)Miguel Cazorla (7 shared papers)Alan Yuille (3 shared papers)Daniela Giorgi (2 shared papers)Silvia Biasotti (2 shared papers)Yu Zhu (1 shared paper)Lewis L. Chuang (1 shared paper)Mikel L. Forcada (2 shared papers)
- Journals
- Image and Vision Computing (1 paper)Pattern Analysis and Applications (1 paper)Pattern Recognition Letters (1 paper)Computer Vision and Image Understanding (1 paper)Applied Intelligence (1 paper)
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Boyán Bonev
19 papers receiving 243 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 143
- Artificial Intelligence 111
- Media Technology 26
- Computational Mathematics 1
- Signal Processing 18
Countries citing papers authored by Boyán Bonev
This map shows the geographic impact of Boyán Bonev'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 Boyán Bonev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boyán Bonev more than expected).
Fields of papers citing papers by Boyán Bonev
This network shows the impact of papers produced by Boyán Bonev. 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 Boyán Bonev. The network helps show where Boyán Bonev may publish in the future.
Co-authors
The 20 scholars most cited alongside Boyán Bonev, 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 | 2009 | 57 | |
| 2 | 2008 | 53 | |
| 3 | 2012 | 28 | |
| 4 | 2015 | 21 | |
| 5 | 2015 | 16 | |
| 6 | 2012 | 14 | |
| 7 | An open-source shallow-transfer machine translation toolbox: consequences of its release and availability | 2005 | 12 |
| 8 | Documentation of the Open-Source Shallow-Transfer Machine Translation Platform Apertium | 2010 | 10 |
| 9 | 2007 | 10 | |
| 10 | 2007 | 7 | |
| 11 | Opinum: statistical sentiment analysis for opinion classification | 2012 | 4 |
| 12 | 2008 | 4 | |
| 13 | 2010 | 4 | |
| 14 | 2017 | 4 | |
| 15 | Towards autonomous adaptation in visual tasks. | 2006 | 2 |
| 16 | 2010 | 2 | |
| 17 | 2010 | 2 | |
| 18 | 2010 | 2 | |
| 19 | 2012 | 1 |
About Boyán Bonev
Boyán Bonev is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Information Systems and Aerospace Engineering, having authored 19 papers that have together received 253 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Visual Attention and Saliency Detection (4 papers), Natural Language Processing Techniques (2 papers), Robotics and Sensor-Based Localization (2 papers), Image Retrieval and Classification Techniques (2 papers), Graph Theory and Algorithms (2 papers), Advanced Vision and Imaging (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (143 citations), Artificial Intelligence (111 citations), Media Technology (26 citations), Computational Mathematics (1 citation) and Signal Processing (18 citations). Boyán Bonev has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Francisco Escolano, Miguel Cazorla, Alan Yuille, Daniela Giorgi, Silvia Biasotti, Yu Zhu, Lewis L. Chuang, Mikel L. Forcada, Dong Xuan and Felipe Sánchez-Martínez. Their work appears in journals such as Image and Vision Computing, Pattern Analysis and Applications, Pattern Recognition Letters, Computer Vision and Image Understanding and Applied Intelligence.
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.