Basilio Sierra

3.8k total citations · 1 hit paper
138 papers, 2.3k citations indexed

About

Basilio Sierra is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Basilio Sierra has authored 138 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 41 papers in Computer Vision and Pattern Recognition and 24 papers in Control and Systems Engineering. Recurrent topics in Basilio Sierra's work include Anomaly Detection Techniques and Applications (18 papers), Fault Detection and Control Systems (13 papers) and Machine Learning and Data Classification (10 papers). Basilio Sierra is often cited by papers focused on Anomaly Detection Techniques and Applications (18 papers), Fault Detection and Control Systems (13 papers) and Machine Learning and Data Classification (10 papers). Basilio Sierra collaborates with scholars based in Spain, Colombia and Mexico. Basilio Sierra's co-authors include Alberto Diez-Olivan, Javier Del Ser, Diego Galar, Pedro Larrañaga, Iñaki Inza, José María Martínez‐Otzeta, Aitor Ibarguren, Itziar Irigoien, Iñaki Maurtua and Elena Lazkano and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Basilio Sierra

131 papers receiving 2.2k citations

Hit Papers

Data fusion and machine learning for industrial prognosis... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Basilio Sierra Spain 25 703 475 471 350 254 138 2.3k
Nazmul Siddique United Kingdom 24 864 1.2× 483 1.0× 339 0.7× 264 0.8× 229 0.9× 127 2.9k
Shruti Patil India 27 653 0.9× 227 0.5× 364 0.8× 172 0.5× 248 1.0× 115 2.2k
Xiaoyan Sun China 30 1.5k 2.1× 486 1.0× 425 0.9× 257 0.7× 140 0.6× 130 3.1k
Cheng‐Jian Lin Taiwan 24 1.1k 1.6× 531 1.1× 620 1.3× 159 0.5× 178 0.7× 209 2.4k
Alessandro Farinelli Italy 23 831 1.2× 587 1.2× 246 0.5× 206 0.6× 251 1.0× 171 2.5k
Alaa Khamis Canada 21 948 1.3× 731 1.5× 646 1.4× 265 0.8× 337 1.3× 89 3.1k
Beatrice Lazzerini Italy 28 1.4k 1.9× 270 0.6× 320 0.7× 373 1.1× 220 0.9× 183 3.0k
Enrique Onieva Spain 26 691 1.0× 323 0.7× 908 1.9× 206 0.6× 105 0.4× 96 2.7k
Iztok Fister Slovenia 31 1.9k 2.8× 587 1.2× 422 0.9× 287 0.8× 165 0.6× 133 4.0k
Ahamad Tajudin Khader Malaysia 25 1.7k 2.5× 484 1.0× 267 0.6× 234 0.7× 77 0.3× 66 3.0k

Countries citing papers authored by Basilio Sierra

Since Specialization
Citations

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

Fields of papers citing papers by Basilio Sierra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Basilio Sierra. 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 Basilio Sierra. The network helps show where Basilio Sierra may publish in the future.

Co-authorship network of co-authors of Basilio Sierra

This figure shows the co-authorship network connecting the top 25 collaborators of Basilio Sierra. A scholar is included among the top collaborators of Basilio Sierra 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 Basilio Sierra. Basilio Sierra 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.
Sierra, Basilio, et al.. (2025). Robot localization aided by quantum algorithms. Robotics and Autonomous Systems. 192. 105026–105026.
2.
Olaizola, Igor G., et al.. (2024). Integrated water resource management in the Segura Hydrographic Basin: An artificial intelligence approach. Journal of Environmental Management. 370. 122526–122526. 1 indexed citations
3.
Sallé, Damien, et al.. (2024). Harnessing the Power of Large Language Models for Automated Code Generation and Verification. Robotics. 13(9). 137–137. 2 indexed citations
4.
Sierra, Basilio, et al.. (2024). An overactuated aerial robot based on cooperative quadrotors attached through passive universal joints: Modeling, control and 6-DoF trajectory tracking. Robotics and Autonomous Systems. 180. 104761–104761. 2 indexed citations
6.
Toro, Mauricio, et al.. (2021). A Cyber-Physical Data Collection System Integrating Remote Sensing and Wireless Sensor Networks for Coffee Leaf Rust Diagnosis. Sensors. 21(16). 5474–5474. 4 indexed citations
7.
Martínez‐Otzeta, José María, et al.. (2021). A New Approach for Video Action Recognition: CSP-Based Filtering for Video to Image Transformation. IEEE Access. 9. 139946–139957. 4 indexed citations
8.
Diez-Olivan, Alberto, Javier Del Ser, Itziar Landa-Torres, et al.. (2021). Adaptive Dendritic Cell-Deep Learning Approach for Industrial Prognosis Under Changing Conditions. IEEE Transactions on Industrial Informatics. 17(11). 7760–7770. 11 indexed citations
9.
Sierra, Basilio, et al.. (2021). Enhancing VTOL Multirotor Performance With a Passive Rotor Tilting Mechanism. IEEE Access. 9. 64368–64380. 4 indexed citations
10.
Sierra, Basilio, et al.. (2021). Problems selection under dynamic selection of the best base classifier in one versus one: PSEUDOVO. International Journal of Machine Learning and Cybernetics. 12(6). 1721–1735. 3 indexed citations
11.
Martínez‐Otzeta, José María, et al.. (2020). Shedding Light on People Action Recognition in Social Robotics by Means of Common Spatial Patterns. Sensors. 20(8). 2436–2436. 15 indexed citations
12.
Martínez‐Otzeta, José María, et al.. (2020). Using Common Spatial Patterns to Select Relevant Pixels for Video Activity Recognition. Applied Sciences. 10(22). 8075–8075. 1 indexed citations
13.
Martín, J., et al.. (2019). A hierarchical architecture for recognising intentionality in mental tasks on a brain-computer interface. PLoS ONE. 14(6). e0218181–e0218181. 4 indexed citations
14.
Sierra, Basilio, et al.. (2019). Statistics-Based Music Generation Approach Considering Both Rhythm and Melody Coherence. IEEE Access. 7. 183365–183382. 9 indexed citations
15.
Martínez‐Otzeta, José María, et al.. (2019). Video Activity Recognition: State-of-the-Art. Sensors. 19(14). 3160–3160. 57 indexed citations
16.
Diez-Olivan, Alberto, Xavier Averós, Ricardo Sanz, Basilio Sierra, & Inma Estévez. (2018). Quantile regression forests-based modeling and environmental indicators for decision support in broiler farming. Computers and Electronics in Agriculture. 161. 141–150. 12 indexed citations
17.
Martínez‐Otzeta, José María, et al.. (2018). Towards the use of similarity distances to music genre classification: A comparative study. PLoS ONE. 13(2). e0191417–e0191417. 5 indexed citations
18.
Sierra, Basilio, et al.. (2012). Cohesion Grading Decisions in a Summary Evaluation Environment: A Machine Learning Approach. Cognitive Science. 34(34). 1 indexed citations
19.
Sierra, Basilio, et al.. (2010). Determination of Features for a Machine Learning Approach to Pronominal Anaphora Resolution in Basque. Procesamiento del lenguaje natural. 45(45). 291–294. 2 indexed citations
20.
Alegria, Iñaki, et al.. (2005). Analyzing the effect of dimensionality reduction in document categorization for Basque. Archives of Control Sciences. 15(4). 703–710. 4 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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