Luis Muñoz-Saavedra

512 total citations
16 papers, 300 citations indexed

About

Luis Muñoz-Saavedra is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Luis Muñoz-Saavedra has authored 16 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Luis Muñoz-Saavedra's work include AI in cancer detection (5 papers), Context-Aware Activity Recognition Systems (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Luis Muñoz-Saavedra is often cited by papers focused on AI in cancer detection (5 papers), Context-Aware Activity Recognition Systems (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Luis Muñoz-Saavedra collaborates with scholars based in Spain and Finland. Luis Muñoz-Saavedra's co-authors include Manuel Domínguez-Morales, Lourdes Miró-Amarante, Francisco Luna-Perejón, Javier Civit-Masot, José María Rodríguez Corral, José Luis Sevillano, María Rocío Bohórquez Gómez-Millán, Lourdes Durán-López, Alejandro Linares-Barranco and A Balcells and has published in prestigious journals such as Expert Systems with Applications, Sensors and Journal of Medical Internet Research.

In The Last Decade

Luis Muñoz-Saavedra

15 papers receiving 288 citations

Peers

Luis Muñoz-Saavedra

CVPR

RNMI

Hussam Tarazi United States

Francisco Luna-Perejón Spain

Amer Malki Saudi Arabia

José María Rodríguez Corral Spain

Riyanto Sigit Indonesia

Javier Civit-Masot Spain

Harsh Agarwal India

Mythreye Venkatesan United States

Dominik Spińczyk Poland

Aura Hernández-Sabaté Spain

Hussam Tarazi United States

Luis Muñoz-Saavedra

107 ×1.4

66 ×0.9

CVPR

67 ×1.2

RNMI

28 ×0.5

24 ×0.5

Citations per year, relative to Luis Muñoz-Saavedra Luis Muñoz-Saavedra (= 1×) peers Hussam Tarazi

Countries citing papers authored by Luis Muñoz-Saavedra

Since Specialization

Citations

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

Fields of papers citing papers by Luis Muñoz-Saavedra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis Muñoz-Saavedra. 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 Luis Muñoz-Saavedra. The network helps show where Luis Muñoz-Saavedra may publish in the future.

Co-authorship network of co-authors of Luis Muñoz-Saavedra

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

All Works

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16 of 16 papers shown

Muñoz-Saavedra, Luis, et al.. (2025). Perceived Quality of Service in Primary Health Care Based on Google Maps Reviews Before, During, and After the COVID-19 Pandemic: Sentiment Analysis. Journal of Medical Internet Research. 27. e70410–e70410.

García-Cabrera, Emilio, et al.. (2025). Video game player profiles among university students: Impact of game preferences and academic background. Computers and Education Open. 9. 100280–100280. 2 indexed citations

Civit-Masot, Javier, et al.. (2024). A lightweight xAI approach to cervical cancer classification. Medical & Biological Engineering & Computing. 62(8). 2281–2304. 11 indexed citations

Muñoz-Saavedra, Luis, et al.. (2024). Diagnosis Aid System for Colorectal Cancer Using Low Computational Cost Deep Learning Architectures. Electronics. 13(12). 2248–2248. 6 indexed citations

Muñoz-Saavedra, Luis, et al.. (2023). A Robust Ensemble of Convolutional Neural Networks for the Detection of Monkeypox Disease from Skin Images. Sensors. 23(16). 7134–7134. 17 indexed citations

Muñoz-Saavedra, Luis, et al.. (2023). Wearable Health Devices for Diagnosis Support: Evolution and Future Tendencies. Sensors. 23(3). 1678–1678. 27 indexed citations

Muñoz-Saavedra, Luis, et al.. (2023). Designing and evaluating a wearable device for affective state level classification using machine learning techniques. Expert Systems with Applications. 219. 119577–119577. 7 indexed citations

Muñoz-Saavedra, Luis, et al.. (2022). Monkeypox Diagnostic-Aid System with Skin Images Using Convolutional Neural Networks. SSRN Electronic Journal. 8 indexed citations

Civit-Masot, Javier, et al.. (2022). Non-small cell lung cancer diagnosis aid with histopathological images using Explainable Deep Learning techniques. Computer Methods and Programs in Biomedicine. 226. 107108–107108. 52 indexed citations

10.

Luna-Perejón, Francisco, et al.. (2022). On the feature extraction process in machine learning. An experimental study about guided versus non-guided process in falling detection systems. Engineering Applications of Artificial Intelligence. 114. 105170–105170. 12 indexed citations

11.

Luna-Perejón, Francisco, et al.. (2021). IoT garment for remote elderly care network. Biomedical Signal Processing and Control. 69. 102848–102848. 10 indexed citations

12.

Luna-Perejón, Francisco, et al.. (2021). AnkFall—Falls, Falling Risks and Daily-Life Activities Dataset with an Ankle-Placed Accelerometer and Training Using Recurrent Neural Networks. Sensors. 21(5). 1889–1889. 18 indexed citations

13.

Muñoz-Saavedra, Luis, et al.. (2021). Does Two-Class Training Extract Real Features? A COVID-19 Case Study. Applied Sciences. 11(4). 1424–1424. 6 indexed citations

14.

Muñoz-Saavedra, Luis, Lourdes Miró-Amarante, & Manuel Domínguez-Morales. (2020). Augmented and Virtual Reality Evolution and Future Tendency. Applied Sciences. 10(1). 322–322. 107 indexed citations

15.

Muñoz-Saavedra, Luis, et al.. (2020). Affective State Assistant for Helping Users with Cognition Disabilities Using Neural Networks. Electronics. 9(11). 1843–1843. 13 indexed citations

16.

Luna-Perejón, Francisco, Javier Civit-Masot, Luis Muñoz-Saavedra, et al.. (2019). Sampling Frequency Evaluation on Recurrent Neural Networks Architectures for IoT Real-time Fall Detection Devices. 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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