David Raba
Impact in
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- Vehicle Routing Optimization Methods
- Digital Transformation in Industry
- Advanced Manufacturing and Logistics Optimization
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- Transportation and Mobility Innovations
Papers in
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- Advanced Manufacturing and Logistics Optimization 3
- Vehicle Routing Optimization Methods 2
- Optimization and Packing Problems 1
- Co-authors
- Ángel A. Juan (3 shared papers)Alejandro Estrada‐Moreno (2 shared papers)Javier Panadero (2 shared papers)Rafael D. Tordecilla (1 shared paper)Daniel J. Mount (1 shared paper)Joan Martı́ (1 shared paper)E. Farrés (2 shared papers)Robert Martí (1 shared paper)
- Journals
- Sensors (1 paper)International Transactions in Operational Research (1 paper)International Congress Series (2 papers)UEA Digital Repository (University of East Anglia) (1 paper)RePEc: Research Papers in Economics (1 paper)
- Partner nations
- SpainUnited Kingdom
In The Last Decade
David Raba
9 papers receiving 55 citations
Peers
Comparison fields: 5 of 38
- Industrial and Manufacturing Engineering 32
- Automotive Engineering 10
- Transportation 5
- Management Science and Operations Research 5
- Building and Construction 5
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 15 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 | 2020 | 21 | |
| 2 | 2021 | 19 | |
| 3 | 2019 | 5 | |
| 4 | 2021 | 3 | |
| 5 | 2005 | 3 | |
| 6 | Monitoring the lead contamination of food products of non-animal origin in different regions from Romania in 2019. | 2020 | 2 |
| 7 | 2020 | 2 | |
| 8 | 2005 | 1 | |
| 9 | Texture segmentation in mammograms | 2003 | 1 |
About David Raba
David Raba is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Food Science and Small Animals, having authored 9 papers that have together received 57 indexed citations. Recurring topics across this work include Advanced Manufacturing and Logistics Optimization (3 papers), Vehicle Routing Optimization Methods (2 papers), Food Supply Chain Traceability (2 papers), AI in cancer detection (2 papers), Optimization and Packing Problems (1 paper), Computational Drug Discovery Methods (1 paper), Digital Radiography and Breast Imaging (1 paper) and Tea Polyphenols and Effects (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (32 citations), Automotive Engineering (10 citations), Transportation (5 citations), Management Science and Operations Research (5 citations) and Building and Construction (5 citations). David Raba has collaborated with scholars based in Spain and United Kingdom. Frequent co-authors include Ángel A. Juan, Alejandro Estrada‐Moreno, Javier Panadero, Rafael D. Tordecilla, Daniel J. Mount, Joan Martı́, E. Farrés, Robert Martí, Imma Boada and M. Peracaula. Their work appears in journals such as Sensors, International Transactions in Operational Research, International Congress Series, UEA Digital Repository (University of East Anglia) and RePEc: Research Papers in Economics.
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.