Andrés Muñoz

1.7k total citations
103 papers, 1.1k citations indexed

About

Andrés Muñoz is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Andrés Muñoz has authored 103 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 19 papers in Information Systems and 15 papers in Computer Networks and Communications. Recurrent topics in Andrés Muñoz's work include Traffic Prediction and Management Techniques (11 papers), Context-Aware Activity Recognition Systems (11 papers) and Human Mobility and Location-Based Analysis (10 papers). Andrés Muñoz is often cited by papers focused on Traffic Prediction and Management Techniques (11 papers), Context-Aware Activity Recognition Systems (11 papers) and Human Mobility and Location-Based Analysis (10 papers). Andrés Muñoz collaborates with scholars based in Spain, Germany and Netherlands. Andrés Muñoz's co-authors include Fernando Terroso-Sáenz, Raquel Martínez‐España, Lars Greve, Juan A. Botía, Christian von Hirschhausen, Juan Carlos Augusto, A.H. van den Boogaard, José M. Cecilia, Vincent T. Meinders and J. Soto and has published in prestigious journals such as Diabetes, Applied Energy and Energy Policy.

In The Last Decade

Andrés Muñoz

95 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrés Muñoz Spain 17 174 160 140 136 128 103 1.1k
Prasenjit Choudhury India 18 73 0.4× 208 1.3× 127 0.9× 201 1.5× 274 2.1× 86 1.0k
Vincent C. S. Lee Australia 19 248 1.4× 391 2.4× 141 1.0× 73 0.5× 154 1.2× 75 1.8k
Jeng-Fung Chen Taiwan 17 74 0.4× 190 1.2× 85 0.6× 68 0.5× 100 0.8× 36 1.1k
Anthony Atkins United Kingdom 16 66 0.4× 176 1.1× 320 2.3× 229 1.7× 168 1.3× 109 1.3k
Xuesong Xu China 17 113 0.6× 216 1.4× 142 1.0× 190 1.4× 147 1.1× 70 1.1k
Guodao Zhang China 17 76 0.4× 204 1.3× 120 0.9× 73 0.5× 57 0.4× 90 934
Mohsen Asadi Canada 22 55 0.3× 354 2.2× 81 0.6× 130 1.0× 352 2.8× 95 1.8k
Joaquim Ferreira Portugal 19 168 1.0× 91 0.6× 95 0.7× 566 4.2× 245 1.9× 105 1.4k
V E Sathishkumar South Korea 22 72 0.4× 288 1.8× 191 1.4× 99 0.7× 173 1.4× 110 1.5k
Miguel Sales Dias Portugal 14 60 0.3× 131 0.8× 142 1.0× 117 0.9× 97 0.8× 105 916

Countries citing papers authored by Andrés Muñoz

Since Specialization
Citations

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

Fields of papers citing papers by Andrés Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrés Muñoz

This figure shows the co-authorship network connecting the top 25 collaborators of Andrés Muñoz. A scholar is included among the top collaborators of Andrés Muñoz 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 Andrés Muñoz. Andrés Muñoz 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.
Muñoz, Andrés, et al.. (2025). Exploiting synthetic data generation to enhance pollution prediction. Applied Soft Computing. 175. 113076–113076. 1 indexed citations
2.
Martínez‐España, Raquel, et al.. (2024). Diseño de acciones formativas para mejorar las competencias digitales del profesorado. Revista Electrónica Interuniversitaria de Formación del Profesorado. 27(1). 117–133. 2 indexed citations
3.
Muñoz, Andrés, et al.. (2024). A multi-DL fuzzy approach to image recognition for a real-time traffic alert system. Journal of Ambient Intelligence and Smart Environments. 17(1). 101–116. 1 indexed citations
4.
Muñoz, Andrés, et al.. (2024). GreenhouseGuard: Enabling real-time warning prediction for smart greenhouse management. Journal of Ambient Intelligence and Smart Environments. 16(3). 389–405.
5.
Muñoz, Andrés, et al.. (2023). ChatbotSQL: Conversational agent to support relational database query language learning. SoftwareX. 22. 101346–101346. 13 indexed citations
6.
Ayers, Jessica D., et al.. (2023). What is reciprocity? A review and expert-based classification of cooperative transfers. Evolution and Human Behavior. 44(4). 384–393. 7 indexed citations
7.
Henze, Martin, et al.. (2022). On using contextual correlation to detect multi-stage cyber attacks in smart grids. Sustainable Energy Grids and Networks. 32. 100821–100821. 20 indexed citations
8.
Ayers, Jessica D., et al.. (2022). What is Reciprocity? A Review and Expert-based Classification of Cooperative Transfers. PsyArXiv (OSF Preprints). 1 indexed citations
9.
Cecilia, José M., Juan‐Carlos Cano, Carlos T. Calafate, et al.. (2021). WATERSensing: A Smart Warning System for Natural Disasters in Spain. IEEE Consumer Electronics Magazine. 10(6). 89–96. 9 indexed citations
11.
Terroso-Sáenz, Fernando, et al.. (2021). Human Mobility Prediction With Region-Based Flows and Water Consumption. IEEE Access. 9. 88651–88663. 7 indexed citations
12.
Periñán-Pascual, Carlos, et al.. (2021). COVIDSensing: Social Sensing Strategy for the Management of the COVID-19 Crisis. Electronics. 10(24). 3157–3157. 8 indexed citations
13.
Terroso-Sáenz, Fernando, Andrés Muñoz, & José M. Cecilia. (2019). QUADRIVEN: A Framework for Qualitative Taxi Demand Prediction Based on Time-Variant Online Social Network Data Analysis. Sensors. 19(22). 4882–4882. 8 indexed citations
14.
Muñoz, Andrés, et al.. (2019). Evaluation of parallel programming teaching methodologies: On‐campus versus online methodologies. Computer Applications in Engineering Education. 28(2). 229–238. 1 indexed citations
15.
Muñoz, Andrés, et al.. (2018). Analysis and evaluation of lecturers’ activity in Learning Management Systems: Subjective and objective perceptions. Interactive Learning Environments. 26(7). 911–923. 13 indexed citations
16.
Cecilia, José M., et al.. (2018). High-Throughput Infrastructure for Advanced ITS Services: A Case Study on Air Pollution Monitoring. IEEE Transactions on Intelligent Transportation Systems. 19(7). 2246–2257. 8 indexed citations
17.
Muñoz, Andrés, et al.. (2016). OntoCompetence: An Ontology Model to Evaluate Competence.
18.
Muñoz, Andrés, et al.. (2014). Heart Health Risk Assessment System: A Nonintrusive Proposal Using Ontologies and Expert Rules. BioMed Research International. 2014. 1–12. 15 indexed citations
19.
Muñoz, Andrés, et al.. (2014). ON ADAPTING LMS FOR RECOMMENDATION AND PERSONALIZATION BASED ON CONTEXT-AWARE TECHNOLOGIES. EDULEARN14 Proceedings. 5694–5701. 2 indexed citations
20.
Calero, José M. Alcaraz, Andrés Muñoz, Gregorio Martínez Pérez, Juan A. Botía, & Antonio Skármeta. (2012). A non-monotonic expressiveness extension on the semantic web rule language. Journal of Web Engineering. 11(2). 93–118. 8 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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