David Orellana-Martín
- Molecular Biology
- Mechanical Engineering top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Mario J. Pérez-JímenezLuis Valencia–CabreraIgnacio Pérez–HurtadoAgustín Riscos–NúñezBosheng SongMiguel Ángel Martínez del AmorHong PengQian Yang
- Topics
- DNA and Biological Computing (52 papers)Advanced biosensing and bioanalysis techniques (40 papers)Modular Robots and Swarm Intelligence (31 papers)
- Partner nations
- SpainChinaPhilippines
In The Last Decade
David Orellana-Martín
52 papers receiving 640 citations
Peers
Comparison fields: 5 of 58
- Molecular Biology 455
- Mechanical Engineering 237
- Electrical and Electronic Engineering 150
- Artificial Intelligence 147
- Computational Theory and Mathematics 129
Countries citing papers authored by David Orellana-Martín
This map shows the geographic impact of David Orellana-Martín'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 Orellana-Martín with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Orellana-Martín more than expected).
Fields of papers citing papers by David Orellana-Martín
This network shows the impact of papers produced by David Orellana-Martín. 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 Orellana-Martín. The network helps show where David Orellana-Martín may publish in the future.
Co-authorship network of co-authors of David Orellana-Martín
This figure shows the co-authorship network connecting the top 25 collaborators of David Orellana-Martín. A scholar is included among the top collaborators of David Orellana-Martín 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 Orellana-Martín. David Orellana-Martín is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 46 | |
| 8 | 4 | |
| 9 | 37 | |
| 10 | 21 | |
| 11 | 41 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 26 | |
| 15 | 14 | |
| 16 | 6 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 12 | |
| 20 | 0 |
About David Orellana-Martín
David Orellana-Martín is a scholar working on Computational Theory and Mathematics, Mechanical Engineering and Molecular Biology, having authored 60 papers that have together received 656 indexed citations. Recurring topics across this work include DNA and Biological Computing (52 papers), Advanced biosensing and bioanalysis techniques (40 papers) and Modular Robots and Swarm Intelligence (31 papers). The work is most often cited by research in Computational Theory and Mathematics (129 citations), Molecular Biology (455 citations) and Mechanical Engineering (237 citations). David Orellana-Martín has collaborated with scholars based in Spain, China and Philippines. Frequent co-authors include Mario J. Pérez-Jímenez, Luis Valencia–Cabrera, Ignacio Pérez–Hurtado, Agustín Riscos–Núñez, Bosheng Song, Miguel Ángel Martínez del Amor, Hong Peng, Qian Yang, Qian Liu and Kenli Li. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and ACM Computing Surveys.
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.