David Raba
Impact in
-
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
- Artificial Intelligence top 10%
- AI in cancer detection
- Advanced Clustering Algorithms Research
- Metaheuristic Optimization Algorithms Research
Papers in
-
- Medical Image Segmentation Techniques 7
- Optical measurement and interference techniques 1
-
- Vehicle Routing Optimization Methods 2
- Co-authors
- Jordi Freixenet (4 shared papers)Josep Martí (1 shared paper)Xavier Cufí (1 shared paper)Xavier Muñoz (1 shared paper)Arnau Oliver (5 shared papers)Joan Martı́ (2 shared papers)M. Peracaula (2 shared papers)Reyer Zwiggelaar A (4 shared papers)
- Journals
- INFORMS Journal on Applied Analytics (1 paper)International Transactions in Operational Research (1 paper)IEEE Robotics and Automation Letters (1 paper)Sensors (1 paper)Lecture notes in computer science (6 papers)
- Partner nations
- SpainUnited KingdomGermany
In The Last Decade
David Raba
16 papers receiving 712 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 534
- Artificial Intelligence 178
- Media Technology 32
- Industrial and Manufacturing Engineering 29
- Automotive Engineering 19
Countries citing papers authored by David Raba
This map shows the geographic impact of David Raba'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 Raba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Raba more than expected).
Fields of papers citing papers by David Raba
This network shows the impact of papers produced by David Raba. 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 Raba. The network helps show where David Raba may publish in the future.
Co-authors
The 20 scholars most cited alongside David Raba, 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 | 2002 | 425 | |
| 2 | 2005 | 141 | |
| 3 | 2023 | 41 | |
| 4 | 2005 | 30 | |
| 5 | 2007 | 28 | |
| 6 | 2020 | 22 | |
| 7 | 2021 | 22 | |
| 8 | 2003 | 14 | |
| 9 | 2006 | 8 | |
| 10 | 2019 | 6 | |
| 11 | 2020 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2005 | 3 | |
| 14 | 2022 | 2 | |
| 15 | Texture segmentation in mammograms | 2003 | 1 |
| 16 | 2005 | 1 |
About David Raba
David Raba is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Management Information Systems, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 753 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), AI in cancer detection (3 papers), Supply Chain and Inventory Management (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Digital Radiography and Breast Imaging (2 papers), Vehicle Routing Optimization Methods (2 papers), Smart Agriculture and AI (1 paper) and Optical measurement and interference techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (534 citations), Artificial Intelligence (178 citations), Media Technology (32 citations), Industrial and Manufacturing Engineering (29 citations) and Automotive Engineering (19 citations). David Raba has collaborated with scholars based in Spain, United Kingdom and Germany. Frequent co-authors include Jordi Freixenet, Josep Martí, Xavier Cufí, Xavier Muñoz, Arnau Oliver, Joan Martı́, M. Peracaula, Reyer Zwiggelaar A, Angel Alejandro Juan and Robert Martí. Their work appears in journals such as INFORMS Journal on Applied Analytics, International Transactions in Operational Research, IEEE Robotics and Automation Letters, Sensors and Lecture notes in computer science.
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.