2026 Ricard Gavaldà: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	30	13873	13449	272	270	143	6795

Ricard Gavaldà publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Ricard Gavaldà sits on this spectrum.

32 publications 991+

This scientist: 143 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Ricard Gavaldà D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Ricard Gavaldà sits on this spectrum.

30 D-Index 131+

This scientist: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Ricard Gavaldà is affiliated with the Universitat Politècnica de Catalunya in Spain. Their research spans the fields of Medicine and Computer Science, with a focus on Artificial Intelligence, Nephrology, Physiology, Endocrine and Autonomic Systems, and Radiology, Nuclear Medicine and Imaging.

Their work covers several key topics, including:

COVID-19 diagnosis using AI
Organ Transplantation Techniques and Outcomes
Liver Disease Diagnosis and Treatment
Liver Disease and Transplantation
Natural Language Processing Techniques
Topic Modeling
Biomedical Text Mining and Ontologies

Ricard Gavaldà has contributed to publications in various academic journals and venues. Frequent publication venues include:

Journal of Clinical Medicine
Computers in Biology and Medicine
Data Mining and Knowledge Discovery
Anaesthesia Critical Care & Pain Medicine
ERJ Open Research

Selected recent papers authored or co-authored by Ricard Gavaldà include:

Interpretable prediction of mortality in liver transplant recipients based on machine learning, 2022, Computers in Biology and Medicine
Prediabetes Is Associated with Increased Prevalence of Sleep-Disordered Breathing, 2022, Journal of Clinical Medicine
Artificial Intelligence for clinical decision support in Critical Care, required and accelerated by COVID-19, 2020, Anaesthesia Critical Care & Pain Medicine
A case study of improving a non-technical losses detection system through explainability, 2023, Data Mining and Knowledge Discovery
Development and Validation of a Model to Predict Severe Hospital-Acquired Acute Kidney Injury in Non-Critically Ill Patients, 2021, Journal of Clinical Medicine

They frequently collaborate with other researchers, including Jaume Baixeries, Enric Sánchez, Gerard Torres, Ariadna Sauret, and Marcelino Bermúdez-López.

In addition to journal publications, Ricard Gavaldà has contributed to book publications with Springer Science+Business Media, including the work titled "ECML PKDD 2020 Workshops" published in 2020.

Best Publications

Learning from Time-Changing Data with Adaptive Windowing

Albert Bifet;Ricard Gavaldà

1897
Citations
New ensemble methods for evolving data streams

Albert Bifet;Geoff Holmes;Bernhard Pfahringer;Richard Kirkby

782
Citations
Adaptive Learning from Evolving Data Streams

Albert Bifet;Ricard Gavaldà

575
Citations
Towards energy-aware scheduling in data centers using machine learning

Josep Ll. Berral;Íñigo Goiri;Ramón Nou;Ferran Julià

360
Citations
Oracles and Queries That Are Sufficient for Exact Learning

Nader H. Bshouty;Richard Cleve;Ricard Gavaldà;Sampath Kannan

257
Citations
Machine Learning for Data Streams: With Practical Examples in Moa

Albert Bifet;Ricard Gavaldà;Geoff Holmes;Bernhard Pfahringer

226
Citations
Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms

Carlos Domingo;Ricard Gavaldà;Osamu Watanabe

153
Citations
MACHINE LEARNING FOR DATA STREAMS

Albert Bifet;Ricard Gavaldà;Geoff Holmes;Bernhard Pfahringer

120
Citations
Energy-efficient and multifaceted resource management for profit-driven virtualized data centers

íñigo Goiri;Josep Ll. Berral;J. Oriol Fitó;Ferran Julií

114
Citations
Algorithms for learning finite automata from queries: a unified view

José L. Balcázar;Josep Díaz;Ricard Gavaldà;Osamu Watanabe

108
Citations
Kalman filters and adaptive windows for learning in data streams

Albert Bifet;Ricard Gavaldà

105
Citations
Adaptive on-line software aging prediction based on machine learning

Javier Alonso;Jordi Torres;Josep Ll. Berral;Ricard Gavalda

105
Citations
Mining frequent closed graphs on evolving data streams

Albert Bifet;Geoff Holmes;Bernhard Pfahringer;Ricard Gavaldà

102
Citations
Online techniques for dealing with concept drift in process mining

Josep Carmona;Ricard Gavaldà

102
Citations
Adaptive Scheduling on Power-Aware Managed Data-Centers Using Machine Learning

Josep Ll. Berral;Ricard Gavalda;Jordi Torres

97
Citations
Computational power of neural networks: a characterization in terms of Kolmogorov complexity

J.L. Balcazar;R. Gavalda;H.T. Siegelmann

96
Citations
Improving Adaptive Bagging Methods for Evolving Data Streams

Albert Bifet;Geoff Holmes;Bernhard Pfahringer;Ricard Gavaldà

92
Citations
Reducing wasted resources to help achieve green data centers

J. Torres;D. Carrera;K. Hogan;R. Gavalda

88
Citations
Fraud Detection in Energy Consumption: A Supervised Approach

Bernat Coma-Puig;Josep Carmona;Ricard Gavalda;Santiago Alcoverro

76
Citations
Detecting Sentiment Change in Twitter Streaming Data

Albert Bifet;Geoffrey Holmes;Bernhard Pfahringer;Ricard Gavaldà

74
Citations
Non-automatizability of bounded-depth frege proofs

Maria Luisa Bonet;Carlos Domingo;Ricard Gavaldà;Alexis Maciel

65
Citations
Proceedings of the 20th international conference on Algorithmic learning theory

Ricard Gavaldà;Gábor Lugosi;Thomas Zeugmann;Sandra Zilles

14
Citations

Frequent Co-Authors

Bernhard Pfahringer University of Waikato

Jordi Torres Universitat Politècnica de Catalunya

Osamu Watanabe Tokyo Institute of Technology

Albert Bifet University of Waikato

Francis Bach École Normale Supérieure

Eduard Ayguadé Barcelona Supercomputing Center

Gábor Lugosi Pompeu Fabra University

Hava T. Siegelmann University of Massachusetts Amherst

Íñigo Goiri Google (United States)

Doina Precup McGill University

External Links

Personal website of Ricard Gavaldà

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