David Raba

849 total citations
9 papers, 57 citations indexed

About

David Raba is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, David Raba has authored 9 papers receiving a total of 57 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Industrial and Manufacturing Engineering, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in David Raba's work include Advanced Manufacturing and Logistics Optimization (3 papers), Food Supply Chain Traceability (2 papers) and AI in cancer detection (2 papers). David Raba is often cited by papers focused on Advanced Manufacturing and Logistics Optimization (3 papers), Food Supply Chain Traceability (2 papers) and AI in cancer detection (2 papers). David Raba collaborates with scholars based in Spain and United Kingdom. David Raba's co-authors include Ángel A. Juan, Alejandro Estrada‐Moreno, Javier Panadero, Rafael D. Tordecilla, Daniel J. Mount, Robert Martí, E. Farrés, Joan Martı́, Imma Boada and M. Peracaula and has published in prestigious journals such as Sensors, International Transactions in Operational Research and UEA Digital Repository (University of East Anglia).

In The Last Decade

David Raba

9 papers receiving 55 citations

Peers

David Raba
Comparison fields: 5 of 38
  • Industrial and Manufacturing Engineering 32
  • Automotive Engineering 10
  • Artificial Intelligence 8
  • Plant Science 7
  • Computer Networks and Communications 6
Replace Katarzyna Węgrzyn-Wolska with:
Katarzyna Węgrzyn-Wolska France
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Dariusz Barbucha Poland
Chairma Lakshmi K R India
Robert Wójcik Poland
Malik Jawarneh India
Alеxander Klimov Tajikistan
Katarzyna Węgrzyn-Wolska France View profile →
Citations per field, relative to David Raba
David Raba · 1×
Citations per year, relative to David Raba
David Raba · 1×

Countries citing papers authored by David Raba

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David Raba

This figure shows the co-authorship network connecting the top 25 collaborators of David Raba. A scholar is included among the top collaborators of David Raba based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Raba. David Raba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 19
2 3
3
Monitoring the lead contamination of food products of non-animal origin in different regions from Romania in 2019.
2
4 21
5 2
6 5
7 3
8 1
9
Texture segmentation in mammograms
1

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.

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