Pablo Chamoso

2.6k total citations
59 papers, 1.0k citations indexed

About

Pablo Chamoso is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Pablo Chamoso has authored 59 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 15 papers in Information Systems and 9 papers in Computer Networks and Communications. Recurrent topics in Pablo Chamoso's work include IoT and Edge/Fog Computing (4 papers), Retinal Imaging and Analysis (4 papers) and Smart Cities and Technologies (4 papers). Pablo Chamoso is often cited by papers focused on IoT and Edge/Fog Computing (4 papers), Retinal Imaging and Analysis (4 papers) and Smart Cities and Technologies (4 papers). Pablo Chamoso collaborates with scholars based in Spain, Japan and Malaysia. Pablo Chamoso's co-authors include Juan M. Corchado, Alfonso González‐Briones, Fernando De la Prieta, Alberto Rivas, Sara Rodrı́guez, Juan F. De Paz, Gabriel Villarrubia González, Javier Prieto, Javier Bajo and Guillermo Hernández and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.

In The Last Decade

Pablo Chamoso

55 papers receiving 982 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pablo Chamoso Spain 15 245 225 218 153 139 59 1.0k
Alfonso González‐Briones Spain 19 224 0.9× 195 0.9× 184 0.8× 164 1.1× 235 1.7× 63 1.1k
BalaAnand Muthu China 20 301 1.2× 264 1.2× 334 1.5× 177 1.2× 165 1.2× 55 1.3k
Sergio Trilles Spain 21 129 0.5× 308 1.4× 157 0.7× 149 1.0× 426 3.1× 60 1.3k
Sara Rodrı́guez Spain 22 420 1.7× 586 2.6× 397 1.8× 322 2.1× 251 1.8× 122 1.9k
Rajalakshmi Krishnamurthi India 12 190 0.8× 239 1.1× 147 0.7× 106 0.7× 266 1.9× 61 959
Xu Zheng China 15 267 1.1× 368 1.6× 581 2.7× 120 0.8× 196 1.4× 75 1.2k
Andrea Vitaletti Italy 18 203 0.8× 582 2.6× 121 0.6× 115 0.8× 319 2.3× 73 1.1k
Andrea Vinci Italy 16 143 0.6× 308 1.4× 196 0.9× 185 1.2× 250 1.8× 63 1.1k
Sudhakar Sengan India 23 233 1.0× 451 2.0× 344 1.6× 162 1.1× 306 2.2× 121 1.5k
Alexandru Vulpe Romania 13 253 1.0× 478 2.1× 123 0.6× 81 0.5× 215 1.5× 89 918

Countries citing papers authored by Pablo Chamoso

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Chamoso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Chamoso

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Chamoso. A scholar is included among the top collaborators of Pablo Chamoso 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 Pablo Chamoso. Pablo Chamoso 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.
Alonso, Ricardo S., et al.. (2023). Federated Learning of Explainable Artificial Intelligence (FED-XAI): A Review. Lecture notes in networks and systems. 318–326. 7 indexed citations
2.
Corchado, Juan M., et al.. (2023). Generative Artificial Intelligence: Fundamentals. ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL. 12(1). e31704–e31704. 14 indexed citations
3.
Chamoso, Pablo, et al.. (2022). A Hybrid Model for the Measurement of the Similarity between Twitter Profiles. Sustainability. 14(9). 4909–4909. 2 indexed citations
4.
Nováis, Paulo, João Carneiro, & Pablo Chamoso. (2022). Ambient Intelligence – Software and Applications – 12th International Symposium on Ambient Intelligence. Lecture notes in networks and systems. 2 indexed citations
5.
Chamoso, Pablo, et al.. (2021). An Efficient Management Platform for Developing Smart Cities: Solution for Real-Time and Future Crowd Detection. Electronics. 10(7). 765–765. 30 indexed citations
6.
Hernández, Guillermo, et al.. (2021). AI-Crime Hunter: An AI Mixture of Experts for Crime Discovery on Twitter. Electronics. 10(24). 3081–3081. 7 indexed citations
7.
Rivas, Alberto, et al.. (2021). Reputation System for Increased Engagement in Public Transport Oriented-Applications. Electronics. 10(9). 1070–1070. 2 indexed citations
8.
Casteleiro‐Roca, José‐Luis, Pablo Chamoso, Esteban Jove, et al.. (2020). Solar Thermal Collector Output Temperature Prediction by Hybrid Intelligent Model for Smartgrid and Smartbuildings Applications and Optimization. Applied Sciences. 10(13). 4644–4644. 6 indexed citations
9.
Fernández, A., Pablo Chamoso, José I. Recio-Rodríguez, et al.. (2020). Automatic image analyser to assess retinal vessel calibre (ALTAIR). A new tool to evaluate the thickness, area and length of the vessels of the retina. International Journal of Medical Informatics. 136. 104090–104090. 11 indexed citations
10.
Rivas, Alberto, Alfonso González‐Briones, Guillermo Hernández, Javier Prieto, & Pablo Chamoso. (2020). Artificial neural network analysis of the academic performance of students in virtual learning environments. Neurocomputing. 423. 713–720. 75 indexed citations
11.
Mohamad, Mohd Saberi, et al.. (2020). A Hybrid of Particle Swarm Optimization and Harmony Search to Estimate Kinetic Parameters in Arabidopsis thaliana. Processes. 8(8). 921–921. 3 indexed citations
12.
Chamoso, Pablo, et al.. (2020). Smart city as a distributed platform: Toward a system for citizen-oriented management. Computer Communications. 152. 323–332. 29 indexed citations
13.
Chamoso, Pablo, et al.. (2020). Profile generation system using artificial intelligence for information recovery and analysis. Journal of Ambient Intelligence and Humanized Computing. 11(11). 4583–4592. 7 indexed citations
14.
Chamoso, Pablo, et al.. (2019). Counter-Terrorism Video Analysis Using Hash-Based Algorithms. Algorithms. 12(5). 110–110. 3 indexed citations
15.
Casado‐Vara, Roberto, Pablo Chamoso, Fernando De la Prieta, Javier Prieto, & Juan M. Corchado. (2019). Non-linear adaptive closed-loop control system for improved efficiency in IoT-blockchain management. Information Fusion. 49. 227–239. 61 indexed citations
16.
González‐Briones, Alfonso, Pablo Chamoso, Sara Rodrı́guez, Hyun Yoe, & Juan M. Corchado. (2018). Reuse of Waste Energy from Power Plants in Greenhouses through MAS‐Based Architecture. Wireless Communications and Mobile Computing. 2018(1). 11 indexed citations
17.
Chamoso, Pablo, et al.. (2018). Social computing for image matching. PLoS ONE. 13(5). e0197576–e0197576. 8 indexed citations
18.
Chamoso, Pablo, Alberto Rivas, Sara Rodrı́guez, & Javier Bajo. (2017). Relationship recommender system in a business and employment-oriented social network. Information Sciences. 433-434. 204–220. 45 indexed citations
19.
Pérez, Alberto, et al.. (2014). Ground vehicle detection through aerial images taken by a UAV. Gredos (University of Salamanca). 1–6. 9 indexed citations
20.
Chamoso, Pablo, et al.. (2014). Modeling Oil-Spill Detection with multirotor systems based on multi-agent systems. International Conference on Information Fusion. 1–8. 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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