Antonio J. Serrano-López

1.8k total citations
60 papers, 1.1k citations indexed

About

Antonio J. Serrano-López is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Antonio J. Serrano-López has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Signal Processing. Recurrent topics in Antonio J. Serrano-López's work include Neural Networks and Applications (10 papers), Blind Source Separation Techniques (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Antonio J. Serrano-López is often cited by papers focused on Neural Networks and Applications (10 papers), Blind Source Separation Techniques (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Antonio J. Serrano-López collaborates with scholars based in Spain, Germany and United Kingdom. Antonio J. Serrano-López's co-authors include José D. Martín‐Guerrero, Emilio Soria‐Olivas, Rafael Magdalena‐Benedito, Juan Gómez‐Sanchís, Marcelino Martínez‐Sober, Joan Vila‐Francés, D. Lorente, Gustau Camps‐Valls, Francisco Martínez‐Martínez and María José Rupérez and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Biomedical Engineering and Sensors.

In The Last Decade

Antonio J. Serrano-López

59 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio J. Serrano-López Spain 20 340 138 117 115 87 60 1.1k
Ioannis D. Zaharakis Greece 9 375 1.1× 124 0.9× 90 0.8× 80 0.7× 38 0.4× 16 1.2k
Rocío Aláiz-Rodríguez Spain 17 638 1.9× 170 1.2× 118 1.0× 178 1.5× 45 0.5× 40 1.4k
Michel Lang Germany 14 545 1.6× 123 0.9× 71 0.6× 87 0.8× 40 0.5× 39 1.7k
Anirban Mukherjee India 23 296 0.9× 422 3.1× 104 0.9× 131 1.1× 54 0.6× 197 2.0k
Amel Ali Alhussan Saudi Arabia 24 536 1.6× 201 1.5× 83 0.7× 227 2.0× 69 0.8× 120 1.5k
Tadayoshi Fushiki Japan 7 214 0.6× 57 0.4× 90 0.8× 87 0.8× 34 0.4× 10 1.1k
Gaurav Gupta India 19 376 1.1× 252 1.8× 107 0.9× 56 0.5× 43 0.5× 88 1.4k
Dalwinder Singh India 10 420 1.2× 164 1.2× 96 0.8× 135 1.2× 32 0.4× 21 1.4k
Lili Xu China 18 261 0.8× 112 0.8× 75 0.6× 72 0.6× 222 2.6× 60 1.1k
Prashant Singh Rana India 16 200 0.6× 109 0.8× 65 0.6× 147 1.3× 40 0.5× 103 901

Countries citing papers authored by Antonio J. Serrano-López

Since Specialization
Citations

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

Fields of papers citing papers by Antonio J. Serrano-López

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio J. Serrano-López. 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 Antonio J. Serrano-López. The network helps show where Antonio J. Serrano-López may publish in the future.

Co-authorship network of co-authors of Antonio J. Serrano-López

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio J. Serrano-López. A scholar is included among the top collaborators of Antonio J. Serrano-López 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 Antonio J. Serrano-López. Antonio J. Serrano-López 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.
Magdalena‐Benedito, Rafael, et al.. (2025). Applied Machine Learning to Anomaly Detection in Enterprise Purchase Processes: A Hybrid Approach Using Clustering and Isolation Forest. Information. 16(3). 177–177. 2 indexed citations
2.
Piñana, José Luís, et al.. (2024). A machine learning approach to identify groups of patients with hematological malignant disorders. Computer Methods and Programs in Biomedicine. 246. 108011–108011. 7 indexed citations
3.
Castro‐García, Sergio, et al.. (2019). Vibration Monitoring of the Mechanical Harvesting of Citrus to Improve Fruit Detachment Efficiency. Sensors. 19(8). 1760–1760. 14 indexed citations
4.
Bertacchini, Francesca, et al.. (2019). Mid-sagittal plane detection for advanced physiological measurements in brain scans. Physiological Measurement. 40(11). 115009–115009. 3 indexed citations
5.
Martínez-Martínez, José M., Pablo Escandell-Montero, Emilio Soria‐Olivas, José D. Martín‐Guerrero, & Antonio J. Serrano-López. (2016). A new visualization tool for data mining techniques. Progress in Artificial Intelligence. 5(2). 137–154. 5 indexed citations
6.
Martínez-Martínez, José M., Pablo Escandell-Montero, C. Barbieri, et al.. (2014). Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques. Computer Methods and Programs in Biomedicine. 117(2). 208–217. 32 indexed citations
7.
Soria‐Olivas, Emilio, et al.. (2013). Application of machine learning techniques to analyse the effects of physical exercise in ventricular fibrillation. Computers in Biology and Medicine. 45. 1–7. 6 indexed citations
8.
Escandell-Montero, Pablo, et al.. (2012). Regularized Committee of Extreme Learning Machine for Regression Problems.. The European Symposium on Artificial Neural Networks. 5 indexed citations
9.
Serrano-López, Antonio J., et al.. (2011). Economics of reduced tillage systems on rainfed farm enterprises of different sizes. RiuNet (Politechnical University of Valencia). 1 indexed citations
10.
Guerrero, Juan, Antonio Benetó, M. Bataller, et al.. (2010). Study of differences on heart rate in patients with apnea and insomnia syndromes. Computing in Cardiology. 509–512.
11.
Soria‐Olivas, Emilio, et al.. (2010). Neural models for the analysis of kidney disease patients.. The European Symposium on Artificial Neural Networks. 2 indexed citations
12.
Kroschel, Kristian, et al.. (2009). Acoustic detection and classification of sound sources using temporal multiple energy detector features. European Signal Processing Conference. 769–773. 1 indexed citations
13.
Soria‐Olivas, Emilio, et al.. (2008). Comparative study of several Fir median hybrid filters for blink noise removal in Electrooculograms. 4(3). 53–59. 11 indexed citations
14.
Serrano-López, Antonio J., et al.. (2008). Análisis de regularidad en fibrilación ventricular: aplicación a registros de mapeado cardíaco. 3 indexed citations
15.
Fernández, C., et al.. (2006). Weekly milk prediction on dairy goats using neural networks. Neural Computing and Applications. 16(4-5). 373–381. 19 indexed citations
16.
Martín‐Guerrero, José D., et al.. (2004). Neural networks as effective techniques in clinical management of patients: some case studies. Transactions of the Institute of Measurement and Control. 26(3). 169–183. 5 indexed citations
17.
Serrano-López, Antonio J., Rafael Magdalena‐Benedito, José D. Martín‐Guerrero, et al.. (2004). The use of neural networks for predicting the result of endoscopic treatment for vesico‐ureteric reflux. British Journal of Urology. 94(1). 120–122. 15 indexed citations
18.
Martín‐Guerrero, José D., Gustau Camps‐Valls, Emilio Soria‐Olivas, et al.. (2003). Dosage individualization of erythropoietin using a profile-dependent support vector regression. IEEE Transactions on Biomedical Engineering. 50(10). 1136–1142. 34 indexed citations
19.
Soria‐Olivas, Emilio, José D. Martín‐Guerrero, Gustau Camps‐Valls, et al.. (2003). A low-complexity fuzzy activation function for artificial neural networks. IEEE Transactions on Neural Networks. 14(6). 1576–1579. 33 indexed citations
20.
Francés-Víllora, Jose V., Javier Calpe, María Pilar Latorre Martínez, et al.. (2002). Application of ARMA modeling to the improvement of weight estimations in fruit sorting and grading machinery. 6. 3666–3669. 16 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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