Jose A. Arjona-Medina
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- Evolutionary Algorithms and Applications 2
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- VLSI and FPGA Design Techniques 2
- Molecular Junctions and Nanostructures 1
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- Advanced Multi-Objective Optimization Algorithms 2
- Computational Drug Discovery Methods 2
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- Machine Learning in Materials Science 2
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- Genomics and Phylogenetic Studies 2
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- Infrared Target Detection Methodologies 1
Jose A. Arjona-Medina
8 papers receiving 188 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 137
- Artificial Intelligence 62
- Automotive Engineering 23
- Environmental Engineering 16
- Industrial and Manufacturing Engineering 11
Countries citing papers authored by Jose A. Arjona-Medina
This map shows the geographic impact of Jose A. Arjona-Medina'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 Jose A. Arjona-Medina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jose A. Arjona-Medina more than expected).
Fields of papers citing papers by Jose A. Arjona-Medina
This network shows the impact of papers produced by Jose A. Arjona-Medina. 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 Jose A. Arjona-Medina. The network helps show where Jose A. Arjona-Medina may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Jose A. Arjona-Medina, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2022 | 10 | |
| 4 | 2022 | 2 | |
| 5 | 2020 | 2 | |
| 6 | RUDDER: Return Decomposition for Delayed Rewards | 2019 | 7 |
| 7 | 2016 | 4 | |
| 8 | 2016 | 1 | |
| 9 | Speeding up Semantic Segmentation for Autonomous Driving | 2016 | 165 |
About Jose A. Arjona-Medina
Jose A. Arjona-Medina is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Spectroscopy, Electrical and Electronic Engineering and Materials Chemistry, having authored 9 papers that have together received 194 indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Machine Learning in Materials Science (2 papers), Evolutionary Algorithms and Applications (2 papers), Computational Drug Discovery Methods (2 papers), Genomics and Phylogenetic Studies (2 papers), Infrared Target Detection Methodologies (1 paper) and Molecular Junctions and Nanostructures (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (137 citations), Artificial Intelligence (62 citations), Automotive Engineering (23 citations), Environmental Engineering (16 citations) and Industrial and Manufacturing Engineering (11 citations). Jose A. Arjona-Medina has collaborated with scholars based in Austria, Germany and Spain. Frequent co-authors include Michael Widrich, Thomas Unterthiner, Sepp Hochreiter, Rupesh Durgesh, Martin Heusel, Andreas Mayr, Markus Hofmarcher, Bernhard Nessler, Michael Stephan and Avik Santra. Their work appears in journals such as Journal of Cheminformatics, IEEE Transactions on NanoBioscience, BMC Genomics, IEEE Design and Test and SHILAP Revista de lepidopterología.
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.