Marcelino Martínez‐Sober

923 total citations · 1 hit paper
28 papers, 636 citations indexed

About

Marcelino Martínez‐Sober is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Signal Processing. According to data from OpenAlex, Marcelino Martínez‐Sober has authored 28 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Cardiology and Cardiovascular Medicine and 6 papers in Signal Processing. Recurrent topics in Marcelino Martínez‐Sober's work include ECG Monitoring and Analysis (4 papers), Spectroscopy and Chemometric Analyses (4 papers) and Smart Agriculture and AI (3 papers). Marcelino Martínez‐Sober is often cited by papers focused on ECG Monitoring and Analysis (4 papers), Spectroscopy and Chemometric Analyses (4 papers) and Smart Agriculture and AI (3 papers). Marcelino Martínez‐Sober collaborates with scholars based in Spain, Germany and Austria. Marcelino Martínez‐Sober's co-authors include Emilio Soria‐Olivas, Antonio J. Serrano-López, Juan Gómez‐Sanchís, José D. Martín‐Guerrero, Juan Guerrero, J. Blasco, Rafael Magdalena‐Benedito, D. Lorente, Javier Calpe‐Maravilla and José M. Martínez-Martínez and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Biomedical Engineering and LWT.

In The Last Decade

Marcelino Martínez‐Sober

26 papers receiving 609 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Artificial Neural Networks in Agriculture, the core of artificial intelligence: What, When, and Why

2025 19 citations Sandra Munera, Marcelino Martínez‐Sober et al. Computers and Electronics in Agriculture profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcelino Martínez‐Sober Spain	15	146	138	108	95	87	28	636
Haiqing Wang China	14	75 0.5×	117 0.8×	25 0.2×	39 0.4×	97 1.1×	75	778
Ayush Goyal India	13	134 0.9×	78 0.6×	28 0.3×	164 1.7×	25 0.3×	69	794
R. Anand India	12	40 0.3×	22 0.2×	63 0.6×	120 1.3×	112 1.3×	53	600
Hani Alquhayz Saudi Arabia	17	93 0.6×	29 0.2×	25 0.2×	318 3.3×	33 0.4×	55	915
V. Parthasarathy India	19	83 0.6×	28 0.2×	13 0.1×	93 1.0×	98 1.1×	106	1.1k
Beatriz Remeseiro Spain	15	143 1.0×	73 0.5×	35 0.3×	338 3.6×	23 0.3×	48	1.1k
Weiming Wu China	13	51 0.3×	22 0.2×	20 0.2×	76 0.8×	88 1.0×	52	491
Kevin Hung Hong Kong	14	353 2.4×	164 1.2×	26 0.2×	40 0.4×	6 0.1×	75	754
İsmail Sarıtaş Türkiye	14	168 1.2×	17 0.1×	59 0.5×	226 2.4×	57 0.7×	47	738
Peerapong Uthansakul Thailand	19	113 0.8×	11 0.1×	39 0.4×	111 1.2×	81 0.9×	170	1.3k

Countries citing papers authored by Marcelino Martínez‐Sober

Since Specialization

Citations

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

Fields of papers citing papers by Marcelino Martínez‐Sober

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcelino Martínez‐Sober. 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 Marcelino Martínez‐Sober. The network helps show where Marcelino Martínez‐Sober may publish in the future.

Co-authorship network of co-authors of Marcelino Martínez‐Sober

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

All Works

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20 of 20 papers shown

Martínez‐Sober, Marcelino, et al.. (2025). Machine learning for non-destructive nutrient diagnosis in citrus: comparing spectral analysis and hyperspectral imaging with CNNs. Expert Systems with Applications. 301. 130517–130517.

Munera, Sandra, et al.. (2025). Firmness classification in ‘Rojo Brillante’ persimmon fruit after cold storage using hyperspectral imaging and deep learning with variational autoencoders. LWT. 229. 118163–118163.

Munera, Sandra, et al.. (2025). Artificial Neural Networks in Agriculture, the core of artificial intelligence: What, When, and Why. Computers and Electronics in Agriculture. 230. 109938–109938. 19 indexed citations breakdown →

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

Martínez‐Sober, Marcelino, et al.. (2023). Comparison between Machine Learning and Deep Learning Approaches for the Detection of Toxic Comments on Social Networks. Applied Sciences. 13(10). 6038–6038. 19 indexed citations

Martínez‐Sober, Marcelino, et al.. (2023). Deep Learning Architectures for Diagnosis of Diabetic Retinopathy. Applied Sciences. 13(7). 4445–4445. 11 indexed citations

Urueña, Alberto, et al.. (2021). Analysis of the Pre and Post-COVID-19 Lockdown Use of Smartphone Apps in Spain. Applied Sciences. 11(13). 5807–5807. 3 indexed citations

Martínez‐Martínez, Francisco, María José Rupérez, Marcelino Martínez‐Sober, et al.. (2017). A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time. Computers in Biology and Medicine. 90. 116–124. 80 indexed citations

Mateo, Fernando, Emilio Soria‐Olivas, Marcelino Martínez‐Sober, et al.. (2016). Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced data.. The European Symposium on Artificial Neural Networks. 1 indexed citations

10.

Lorente, D., Francisco Martínez‐Martínez, María José Rupérez, et al.. (2016). A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning. Expert Systems with Applications. 71. 342–357. 40 indexed citations

11.

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

12.

Vila‐Francés, Joan, Emilio Soria‐Olivas, Antonio J. Serrano-López, et al.. (2013). Expert system for predicting unstable angina based on Bayesian networks. Expert Systems with Applications. 40(12). 5004–5010. 36 indexed citations

13.

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

14.

Martínez‐Sober, Marcelino, et al.. (2012). Matlab-based interface for the simultaneous acquisition of force measures and Doppler ultrasound muscular images. Computer Methods and Programs in Biomedicine. 110(1). 76–81. 5 indexed citations

15.

Martínez-Martínez, José M., Pablo Escandell-Montero, Emilio Soria‐Olivas, et al.. (2011). Sectors on sectors (SonS): A new hierarchical clustering visualization tool. 149. 304–309. 3 indexed citations

16.

Guerrero, Juan, et al.. (2006). New algorithm for fetal QRS detection in surface abdominal records. Repository of Digital Objects for Teaching Research and Culture (University of Valencia). 441–444. 20 indexed citations

17.

Camps‐Valls, Gustau, Marcelino Martínez‐Sober, Emilio Soria‐Olivas, et al.. (2004). Foetal ECG recovery using dynamic neural networks. Artificial Intelligence in Medicine. 31(3). 197–209. 54 indexed citations

18.

Chorro, Francisco J., Juan Guerrero, Joaquín Cánoves, et al.. (1998). Quantification of the Modifications in the Dominant Frequency of Ventricular Fibrillation under Conditions of Ischemia and Reperfusion: An Experimental Study. Pacing and Clinical Electrophysiology. 21(9). 1716–1723. 19 indexed citations

19.

Soria‐Olivas, Emilio, et al.. (1998). Application of adaptive signal processing for determining the limits of P and T waves in an ECG. IEEE Transactions on Biomedical Engineering. 45(8). 1077–1080. 42 indexed citations

20.

Soria‐Olivas, Emilio, et al.. (1998). An easy demonstration of the optimum value of the adaptation constant in the LMS algorithm [FIR filter theory]. IEEE Transactions on Education. 41(1). 81–81. 22 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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