Rafael Martínez‐Tomás

948 total citations
29 papers, 234 citations indexed

About

Rafael Martínez‐Tomás is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Rafael Martínez‐Tomás has authored 29 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Molecular Biology. Recurrent topics in Rafael Martínez‐Tomás's work include Biomedical Text Mining and Ontologies (7 papers), Semantic Web and Ontologies (7 papers) and AI-based Problem Solving and Planning (4 papers). Rafael Martínez‐Tomás is often cited by papers focused on Biomedical Text Mining and Ontologies (7 papers), Semantic Web and Ontologies (7 papers) and AI-based Problem Solving and Planning (4 papers). Rafael Martínez‐Tomás collaborates with scholars based in Spain, Norway and Ecuador. Rafael Martínez‐Tomás's co-authors include Antonio Fernández‐Caballero, M. Rincón, José Carlos Castillo, José Mira, Félix de la Paz López, Herminia Peraita, Elena Navarro, José Guerrero-González, Pilar Pozo and Encarnación Sarriá and has published in prestigious journals such as Expert Systems with Applications, Neurocomputing and Pattern Recognition Letters.

In The Last Decade

Rafael Martínez‐Tomás

29 papers receiving 226 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rafael Martínez‐Tomás Spain 8 86 84 34 31 24 29 234
Qingling Cai China 10 82 1.0× 104 1.2× 11 0.3× 66 2.1× 5 0.2× 23 291
Yu Sheng China 9 31 0.4× 71 0.8× 21 0.6× 42 1.4× 13 0.5× 52 342
Huan Zhao China 12 133 1.5× 152 1.8× 11 0.3× 14 0.5× 26 1.1× 56 380
Berat A. Erol United States 11 76 0.9× 84 1.0× 6 0.2× 19 0.6× 39 1.6× 17 258
Chenhui Wang China 9 72 0.8× 77 0.9× 8 0.2× 12 0.4× 3 0.1× 27 246
Arpit Mittal United Kingdom 8 161 1.9× 157 1.9× 7 0.2× 17 0.5× 7 0.3× 22 370
Benjamín Hernández Mexico 9 237 2.8× 44 0.5× 10 0.3× 32 1.0× 29 1.2× 27 375
Tianshi Gao China 7 172 2.0× 121 1.4× 9 0.3× 18 0.6× 25 1.0× 20 279

Countries citing papers authored by Rafael Martínez‐Tomás

Since Specialization
Citations

This map shows the geographic impact of Rafael Martínez‐Tomás'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 Rafael Martínez‐Tomás with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Martínez‐Tomás more than expected).

Fields of papers citing papers by Rafael Martínez‐Tomás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafael Martínez‐Tomás. 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 Rafael Martínez‐Tomás. The network helps show where Rafael Martínez‐Tomás may publish in the future.

Co-authorship network of co-authors of Rafael Martínez‐Tomás

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Martínez‐Tomás. A scholar is included among the top collaborators of Rafael Martínez‐Tomás 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 Rafael Martínez‐Tomás. Rafael Martínez‐Tomás is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gárate-Escamilla, Anna Karen, Rafael Martínez‐Tomás, José Carlos Ortíz-Bayliss, & Amir Hajjam El Hassani. (2025). Comparative Analysis of Classification Models Using Midjourney-generated Images in the Realm of Machine Learning. Computación y Sistemas. 29(1). 1 indexed citations
2.
Martínez‐Tomás, Rafael, et al.. (2024). A benchmark for Rey-Osterrieth complex figure test automatic scoring. Heliyon. 10(21). e39883–e39883. 1 indexed citations
3.
Martínez‐Tomás, Rafael, et al.. (2024). Early detection of mild cognitive impairment through neuropsychological tests in population screenings: a decision support system integrating ontologies and machine learning. Frontiers in Neuroinformatics. 18. 1378281–1378281. 1 indexed citations
4.
Martínez‐Tomás, Rafael, et al.. (2024). Designing an effective semantic fluency test for early MCI diagnosis with machine learning. Computers in Biology and Medicine. 180. 108955–108955. 2 indexed citations
5.
Rincón, M., et al.. (2023). A Knowledge Graph Framework for Dementia Research Data. Applied Sciences. 13(18). 10497–10497. 1 indexed citations
6.
Martínez‐Tomás, Rafael, et al.. (2023). Self-Learning Robot Autonomous Navigation with Deep Reinforcement Learning Techniques. Applied Sciences. 14(1). 366–366. 4 indexed citations
7.
Martínez‐Tomás, Rafael, et al.. (2021). Q-CHAT-NAO: A robotic approach to autism screening in toddlers. Journal of Biomedical Informatics. 118. 103797–103797. 16 indexed citations
8.
Martínez‐Tomás, Rafael, et al.. (2021). Integrative Base Ontology for the Research Analysis of Alzheimer’s Disease-Related Mild Cognitive Impairment. Frontiers in Neuroinformatics. 15. 561691–561691. 11 indexed citations
9.
Rincón, M., et al.. (2021). An overview of graph databases and their applications in the biomedical domain. Database. 2021. 32 indexed citations
10.
Rincón, M., et al.. (2017). Extending XNAT Platform with an Incremental Semantic Framework. Frontiers in Neuroinformatics. 11. 57–57. 4 indexed citations
11.
Martínez‐Tomás, Rafael, et al.. (2016). The Dissociation between Polarity, Semantic Orientation, and Emotional Tone as an Early Indicator of Cognitive Impairment. Frontiers in Computational Neuroscience. 10. 95–95. 2 indexed citations
12.
Guerrero-González, José, M. Rincón, Herminia Peraita, & Rafael Martínez‐Tomás. (2015). Diagnosis of Cognitive Impairment Compatible with Early Diagnosis of Alzheimer’s Disease. Methods of Information in Medicine. 55(1). 42–49. 12 indexed citations
13.
Martínez‐Tomás, Rafael, Antonio Fernández‐Caballero, & José Manuel Ferrández. (2014). Intelligent monitoring for people assistance and safety. Expert Systems. 31(4). 343–344. 3 indexed citations
14.
Navarro, Elena, et al.. (2013). Model‐to‐model and model‐to‐text: looking for the automation of VigilAgent. Expert Systems. 31(3). 199–212. 9 indexed citations
15.
Martínez‐Tomás, Rafael, et al.. (2013). Improving NCD accuracy by combining document segmentation and document distortion. Knowledge and Information Systems. 41(1). 223–245. 5 indexed citations
16.
Martínez‐Tomás, Rafael, et al.. (2011). Multi-agent system for knowledge-based event recognition and composition. Expert Systems. 28(5). 488–501. 6 indexed citations
17.
Taboada, M., Rafael Martínez‐Tomás, & José Manuel Ferrández. (2011). New perspectives on the application of expert systems. Expert Systems. 28(4). 285–287. 2 indexed citations
18.
Martínez‐Tomás, Rafael, et al.. (2007). On the correspondence between objects and events for the diagnosis of situations in visual surveillance tasks. Pattern Recognition Letters. 29(8). 1117–1135. 14 indexed citations
19.
Martínez‐Tomás, Rafael, et al.. (2000). A customisable framework for the assessment of therapies in the solution of therapy decision tasks. Artificial Intelligence in Medicine. 18(1). 57–82. 5 indexed citations
20.
Martínez‐Tomás, Rafael, et al.. (1996). ON KNOWLEDGE MODELING FOR OPEN CHEMOTHERAPEUTIC PROTOCOLS. Cybernetics & Systems. 27(2). 159–168. 1 indexed citations

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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