Raúl Santos‐Rodríguez

1.9k total citations
78 papers, 805 citations indexed

About

Raúl Santos‐Rodríguez is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Raúl Santos‐Rodríguez has authored 78 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 32 papers in Computer Vision and Pattern Recognition and 16 papers in Signal Processing. Recurrent topics in Raúl Santos‐Rodríguez's work include Context-Aware Activity Recognition Systems (13 papers), Indoor and Outdoor Localization Technologies (12 papers) and Anomaly Detection Techniques and Applications (9 papers). Raúl Santos‐Rodríguez is often cited by papers focused on Context-Aware Activity Recognition Systems (13 papers), Indoor and Outdoor Localization Technologies (12 papers) and Anomaly Detection Techniques and Applications (9 papers). Raúl Santos‐Rodríguez collaborates with scholars based in United Kingdom, Spain and United States. Raúl Santos‐Rodríguez's co-authors include Peter Flach, Tijl De Bie, Robert J. Piechocki, Matt McVicar, Yizhao Ni, Miquel Perelló-Nieto, Ian Craddock, Ryan McConville, Haixia Bi and Jefrey Lijffijt and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Raúl Santos‐Rodríguez

75 papers receiving 781 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raúl Santos‐Rodríguez United Kingdom 17 280 258 157 150 90 78 805
Stephan K. Chalup Australia 17 228 0.8× 365 1.4× 66 0.4× 64 0.4× 77 0.9× 120 976
Tan-Hsu Tan Taiwan 19 479 1.7× 175 0.7× 81 0.5× 263 1.8× 198 2.2× 95 1.2k
Mohammed S. Sayed Egypt 16 329 1.2× 180 0.7× 181 1.2× 101 0.7× 117 1.3× 101 857
Ye Zhu Australia 18 197 0.7× 474 1.8× 166 1.1× 81 0.5× 47 0.5× 78 970
Davide Bacciu Italy 16 247 0.9× 632 2.4× 79 0.5× 169 1.1× 113 1.3× 123 1.2k
Daniel Jarrett United Kingdom 11 106 0.4× 275 1.1× 440 2.8× 144 1.0× 146 1.6× 27 1.0k
Youngki Lee South Korea 18 338 1.2× 177 0.7× 209 1.3× 168 1.1× 168 1.9× 42 1.2k
Shirin Enshaeifar United Kingdom 13 132 0.5× 131 0.5× 101 0.6× 33 0.2× 49 0.5× 34 565
Samuel Harford United States 8 104 0.4× 373 1.4× 329 2.1× 76 0.5× 86 1.0× 15 838
Caroline Langensiepen United Kingdom 14 435 1.6× 174 0.7× 88 0.6× 132 0.9× 100 1.1× 65 825

Countries citing papers authored by Raúl Santos‐Rodríguez

Since Specialization
Citations

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

Fields of papers citing papers by Raúl Santos‐Rodríguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raúl Santos‐Rodríguez. 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 Raúl Santos‐Rodríguez. The network helps show where Raúl Santos‐Rodríguez may publish in the future.

Co-authorship network of co-authors of Raúl Santos‐Rodríguez

This figure shows the co-authorship network connecting the top 25 collaborators of Raúl Santos‐Rodríguez. A scholar is included among the top collaborators of Raúl Santos‐Rodríguez 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 Raúl Santos‐Rodríguez. Raúl Santos‐Rodríguez 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.
Laparra, Valero, et al.. (2024). Estimating Information Theoretic Measures via Multidimensional Gaussianization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(2). 1293–1308. 2 indexed citations
2.
Santos‐Rodríguez, Raúl, et al.. (2023). A machine learning emulator for Lagrangian particle dispersion model footprints: a case study using NAME. Geoscientific model development. 16(7). 1997–2009. 7 indexed citations
3.
Tonkin, Emma L., Hao Song, Niall Twomey, et al.. (2023). A multi-sensor dataset with annotated activities of daily living recorded in a residential setting. Scientific Data. 10(1). 162–162. 6 indexed citations
4.
Filho, Telmo M. Silva, Hao Song, Miquel Perelló-Nieto, et al.. (2023). Classifier calibration: a survey on how to assess and improve predicted class probabilities. Machine Learning. 112(9). 3211–3260. 58 indexed citations
5.
Yamagata, Taku, Raúl Santos‐Rodríguez, & Peter Flach. (2022). Continuous Adaptation with Online Meta-Learning for Non-Stationary Target Regression Tasks. SHILAP Revista de lepidopterología. 3(1). 66–85. 1 indexed citations
6.
Sokol, Kacper, Raúl Santos‐Rodríguez, & Peter Flach. (2022). FAT Forensics: A Python toolbox for algorithmic fairness, accountability and transparency[Formula presented]. RMIT Research Repository (RMIT University Library). 15 indexed citations
7.
Ayobi, Amid, Katarzyna Stawarz, Paul Marshall, et al.. (2021). Machine Learning Explanations as Boundary Objects: How AI Researchers Explain and Non-Experts Perceive Machine Learning. Open Research Online (The Open University). 2 indexed citations
8.
Lijffijt, Jefrey, et al.. (2021). Conditional t-SNE: More informative t-SNE embeddings. Ghent University Academic Bibliography (Ghent University). 1–2. 6 indexed citations
9.
Perelló-Nieto, Miquel, et al.. (2020). Recycling weak labels for multiclass classification. Neurocomputing. 400. 206–215. 2 indexed citations
10.
Kozłowski, Michał, Niall Twomey, Dallan Byrne, et al.. (2020). H4LO: automation platform for efficient RF fingerprinting using SLAM‐derived map and poses. IET Radar Sonar & Navigation. 14(5). 694–699. 5 indexed citations
11.
Yamagata, Taku, Aisling Ann O’Kane, Amid Ayobi, et al.. (2020). Model-Based Reinforcement Learning for Type 1Diabetes Blood Glucose Control. Explore Bristol Research. 2 indexed citations
12.
Wang, Xiaoyang, Ioannis Mavromatis, Andrea Tassi, Raúl Santos‐Rodríguez, & Robert J. Piechocki. (2019). Location Anomalies Detection for Connected and Autonomous Vehicles. arXiv (Cornell University). 1–5. 1 indexed citations
13.
Elsts, Atis, Ryan McConville, Xenofon Fafoutis, et al.. (2018). On-Board Feature Extraction from Acceleration Data for Activity Recognition. 163–168. 16 indexed citations
14.
McConville, Ryan, Raúl Santos‐Rodríguez, & Niall Twomey. (2018). Person Identification and Discovery With Wrist Worn Accelerometer Data. Explore Bristol Research. 615–620. 2 indexed citations
15.
Santos‐Rodríguez, Raúl & Niall Twomey. (2018). Efficient approximate representations of computationally expensive features. Explore Bristol Research. 1 indexed citations
16.
Kozłowski, Michał, Dallan Byrne, Raúl Santos‐Rodríguez, & Robert J. Piechocki. (2018). Data fusion for robust indoor localisation in digital health. Bristol Research (University of Bristol). 302–307. 9 indexed citations
17.
Pope, James, Ryan McConville, Michał Kozłowski, et al.. (2017). SPHERE in a Box: Practical and Scalable EurValve Activity Monitoring Smart Home Kit. Bristol Research (University of Bristol). 128–135. 14 indexed citations
18.
Luxburg, Ulrike von, et al.. (2011). Risk-Based Generalizations of f-divergences. International Conference on Machine Learning. 417–424. 6 indexed citations
19.
Santos‐Rodríguez, Raúl, et al.. (2011). ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. International Conference on Acoustics, Speech, and Signal Processing. 10 indexed citations
20.
Santos‐Rodríguez, Raúl, et al.. (2009). Spectral Clustering and Feature Selection for Microarray Data. Bristol Research (University of Bristol). 425–428. 5 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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