Vicent Ribas

1.1k total citations
38 papers, 673 citations indexed

About

Vicent Ribas is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, Vicent Ribas has authored 38 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 12 papers in Cardiology and Cardiovascular Medicine and 12 papers in Artificial Intelligence. Recurrent topics in Vicent Ribas's work include Sepsis Diagnosis and Treatment (15 papers), Machine Learning in Healthcare (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Vicent Ribas is often cited by papers focused on Sepsis Diagnosis and Treatment (15 papers), Machine Learning in Healthcare (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Vicent Ribas collaborates with scholars based in Spain, Italy and Switzerland. Vicent Ribas's co-authors include Juan Carlos Ruiz‐Rodríguez, Alfredo Vellido, Jordi Rello, Adolf Ruiz‐Sanmartín, Petia Radeva, Jesús Caballero, Enrique Romero, Mario Ceresa, Gemma Piella and Miguel Á. González Ballester and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Vicent Ribas

37 papers receiving 659 citations

Peers

Countries citing papers authored by Vicent Ribas

Since Specialization

Citations

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

Fields of papers citing papers by Vicent Ribas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vicent Ribas

This figure shows the co-authorship network connecting the top 25 collaborators of Vicent Ribas. A scholar is included among the top collaborators of Vicent Ribas 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 Vicent Ribas. Vicent Ribas 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

#	Work	Indexed citations
1	Human lifespan and sex-specific patterns of resilience to disease: a retrospective population-wide cohort study 2024 ·BMC Medicine ·Joaquím Sol, Marta Ortega, Manuel Portero-Otı́n, Gerard Piñol‐Ripoll, Vicent Ribas, (unknown), Miquel Butı́, Reinald Pamplona, Mariona Jové	2
2	AI-Based Glioma Grading for a Trustworthy Diagnosis: An Analytical Pipeline for Improved Reliability 2023 ·Cancers ·Carla Pitarch, Vicent Ribas, Alfredo Vellido	9
3	Is Generative Artificial Intelligence the Next Step Toward a Personalized Hemodialysis? 2023 ·Revista de investigaci�n Cl�nica ·Miguel Hueso, Rafael Álvarez, (unknown), Vicent Ribas, Karim Lekadir, Alfredo Vellido	10
4	Computer-assisted diagnosis for an early identification of lung cancer in chest X rays 2023 ·Scientific Reports ·(unknown), Eduard Monsó, (unknown), (unknown), (unknown), (unknown), (unknown), M. Andreu, Eva Castañer, Xavier Gallardo, Anna Ullastres, (unknown), Manel Luján, (unknown), Vicent Ribas	5
5	Precision medicine in sepsis and septic shock: From omics to clinical tools 2022 ·World Journal of Critical Care Medicine ·Juan Carlos Ruiz‐Rodríguez, Erika P. Plata–Menchaca, Luis Chiscano‐Camón, (unknown), Marcos Pérez-Carrasco, (unknown), Vicent Ribas, Mónica Martínez‐Gallo, M. Hernández, Juan José González‐López, Nieves Larrosa, Ricard Ferrer	22
6	Application of an Exploratory Knowledge-Discovery Pipeline Based on Machine Learning to Multi-Scale OMICS Data to Characterise Myocardial Injury in a Cohort of Patients with Septic Shock: An Observational Study 2021 ·Journal of Clinical Medicine ·Bernardo Bollen Pinto, Vicent Ribas, (unknown), Antoine Herpain, Cristina Barlassina, Eliandre de Oliveira, Roberta Pastorelli, Daniele Braga, Matteo Barcella, Laia Subirats, Julia Bauzá‐Martinez, María Antonia Odena, Manuela Ferrario, Giuseppe Baselli, Federico Aletti, Karim Bendjelid	5
7	CoLe-CNN+: Context learning - Convolutional neural network for COVID-19-Ground-Glass-Opacities detection and segmentation 2021 ·Computers in Biology and Medicine ·(unknown), Oliver Díaz, Vicent Ribas, Petia Radeva	12
8	Type D personality and global positioning system tracked social behavior in patients with cardiovascular disease. 2020 ·Health Psychology ·Mirela Habibović, Giovana Gavidia‐Bovadilla, (unknown), (unknown), (unknown), Vicent Ribas, Jordi Piera-Jiménez, Jos Widdershoven, Johan Denollet	7
9	CoLe-CNN: Context-learning convolutional neural network with adaptive loss function for lung nodule segmentation 2020 ·Computer Methods and Programs in Biomedicine ·(unknown), Vicent Ribas, Petia Radeva	52
10	Feature selection for the accurate prediction of septic and cardiogenic shock ICU mortality in the acute phase 2018 ·PLoS ONE ·(unknown), Vicent Ribas, Alfredo Vellido, Federico Aletti, Bernardo Bollen Pinto, Antoine Herpain, (unknown), (unknown), Ricard Ferrer, Giuseppe Baselli, Karim Bendjelid	20
11	Proteolysis in septic shock patients: plasma peptidomic patterns are associated with mortality 2018 ·British Journal of Anaesthesia ·Julia Bauzá‐Martinez, Federico Aletti, Bernardo Bollen Pinto, Vicent Ribas, María Antonia Odena, Ramón Díaz, (unknown), Ricard Ferrer, Erik B. Kistler, Gabriella Tedeschi, Geert W. Schmid‐Schönbein, Antoine Herpain, Karim Bendjelid, Eliandre de Oliveira	35
12	Blood Pressure Assessment with Differential Pulse Transit Time and Deep Learning: A Proof of Concept 2018 ·Kidney Diseases ·Vicent Ribas, Alfredo Vellido	17
13	Pipeline design to identify key features and classify the chemotherapy response on lung cancer patients using large-scale genetic data 2018 ·BMC Systems Biology ·(unknown), Iván Galván‐Femenía, Vicent Ribas, (unknown), Jun Yokota, Ricard Gavaldà, (unknown), Rafael de Cid	6
14	Modelling the cardiovascular system for assessing the blood pressure curve 2017 ·SHILAP Revista de lepidopterología ·T.G. Myers, Vicent Ribas, (unknown), Sarah Mitchell, Mark McGuinness	11
15	Assessment of electrocardiograms with pretraining and shallow networks 2014 ·Computing in Cardiology ·Vicent Ribas, (unknown), (unknown), Enrique Romero, Josép Brugada	4
16	Sepsis mortality prediction with the Quotient Basis Kernel 2014 ·Artificial Intelligence in Medicine ·Vicent Ribas, Alfredo Vellido, Enrique Romero, Juan Carlos Ruiz‐Rodríguez	26
17	Innovative continuous non-invasive cuffless blood pressure monitoring based on photoplethysmography technology 2013 ·Intensive Care Medicine ·Juan Carlos Ruiz‐Rodríguez, Adolf Ruiz‐Sanmartín, Vicent Ribas, Jesús Caballero, (unknown), Jordi Riera, Xavier Nuvials, Miriam de Nadal, Oriol Solà-Morales, (unknown), Jordi Rello	93
18	Usefulness of procalcitonin clearance as a prognostic biomarker in septic shock. A prospective pilot study 2012 ·Medicina Intensiva ·Juan Carlos Ruiz‐Rodríguez, Jesús Caballero, Adolf Ruiz‐Sanmartín, Vicent Ribas, Marcos Pérez-Carrasco, (unknown), Jordi Rello	49
19	Severe sepsis mortality prediction with relevance vector machines 2011 ·PubMed ·Vicent Ribas, Jesús Caballero, Adolf Ruiz‐Sanmartín, Juan Carlos Ruiz‐Rodríguez, Jordi Rello, (unknown), Alfredo Vellido	27
20	Severe sepsis mortality prediction with logistic regression over latent factors 2011 ·Expert Systems with Applications ·Vicent Ribas, Alfredo Vellido, Juan Carlos Ruiz‐Rodríguez, Jordi Rello	21

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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