Olatz Arbelaitz

2.4k total citations · 1 hit paper
43 papers, 1.4k citations indexed

About

Olatz Arbelaitz is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Olatz Arbelaitz has authored 43 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 13 papers in Information Systems and 7 papers in Computer Science Applications. Recurrent topics in Olatz Arbelaitz's work include Imbalanced Data Classification Techniques (6 papers), Advanced Clustering Algorithms Research (6 papers) and E-Learning and Knowledge Management (6 papers). Olatz Arbelaitz is often cited by papers focused on Imbalanced Data Classification Techniques (6 papers), Advanced Clustering Algorithms Research (6 papers) and E-Learning and Knowledge Management (6 papers). Olatz Arbelaitz collaborates with scholars based in Spain, Peru and United Kingdom. Olatz Arbelaitz's co-authors include Javier Muguerza, Ibai Gurrutxaga, Jesús M. Pérez, Iñigo Perona, J. Martín, María Teresa Linaza, Pieter Vansteenwegen, Ander García, Wouter Souffriau and Miguel Antón and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Sensors.

In The Last Decade

Olatz Arbelaitz

40 papers receiving 1.4k citations

Hit Papers

An extensive comparative study of cluster validity indices 2012 2026 2016 2021 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olatz Arbelaitz Spain 14 636 221 189 185 147 43 1.4k
Hae-Sang Park South Korea 4 520 0.8× 199 0.9× 244 1.3× 171 0.9× 100 0.7× 5 1.4k
Xuedong Gao China 9 513 0.8× 185 0.8× 194 1.0× 186 1.0× 109 0.7× 72 1.1k
Abiodun M. Ikotun South Africa 9 570 0.9× 108 0.5× 239 1.3× 157 0.8× 62 0.4× 20 1.6k
Jesús M. Pérez Spain 11 618 1.0× 199 0.9× 174 0.9× 163 0.9× 144 1.0× 33 1.3k
Ibai Gurrutxaga Spain 12 614 1.0× 202 0.9× 164 0.9× 162 0.9× 144 1.0× 31 1.3k
Chaoqun Ma China 4 517 0.8× 173 0.8× 235 1.2× 181 1.0× 68 0.5× 5 1.3k
Zhongmou Li United States 6 486 0.8× 211 1.0× 185 1.0× 289 1.6× 106 0.7× 9 1.2k
Aruna Tiwari India 17 1.1k 1.8× 194 0.9× 503 2.7× 204 1.1× 97 0.7× 117 2.0k
Muna Al‐Razgan Saudi Arabia 21 720 1.1× 150 0.7× 350 1.9× 317 1.7× 89 0.6× 92 1.9k
Akshansh Gupta India 10 435 0.7× 153 0.7× 252 1.3× 194 1.0× 57 0.4× 18 1.4k

Countries citing papers authored by Olatz Arbelaitz

Since Specialization
Citations

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

Fields of papers citing papers by Olatz Arbelaitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olatz Arbelaitz

This figure shows the co-authorship network connecting the top 25 collaborators of Olatz Arbelaitz. A scholar is included among the top collaborators of Olatz Arbelaitz 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 Olatz Arbelaitz. Olatz Arbelaitz 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.
Arbelaitz, Olatz, Ibai Gurrutxaga, Javier Muguerza, et al.. (2024). Machine Learning for Prediction of Cognitive Deterioration in Patients with Early Parkinson’s Disease. Applied Sciences. 14(18). 8149–8149.
2.
Arbelaitz, Olatz, et al.. (2023). Introduction to informatics in a Peruvian penitentiary using cs unplugged: from university to penitentiary. Education and Information Technologies. 29(1). 971–989. 1 indexed citations
3.
Arbelaitz, Olatz, et al.. (2023). The Challenge of Introducing Informatics Topics From an Early Age in Peru During the Pandemic. IEEE Transactions on Education. 66(6). 553–562. 1 indexed citations
4.
Arbelaitz, Olatz, et al.. (2020). Characterization of e-Government adoption in Europe. PLoS ONE. 15(4). e0231585–e0231585. 32 indexed citations
5.
Arbelaitz, Olatz, et al.. (2019). JolasMATIKA: An Experience for Teaching and Learning Computing Topics From University to Primary Education. IEEE Transactions on Education. 63(3). 136–143. 11 indexed citations
6.
Muguerza, Javier, Olatz Arbelaitz, Iñigo Perona, et al.. (2019). Modelling the interactive behaviour of users with a medication safety dashboard in a primary care setting. International Journal of Medical Informatics. 129. 395–403. 6 indexed citations
7.
Abascal, Julio, et al.. (2019). Personalizing the User Interface for People with Disabilities. 29–29. 2 indexed citations
8.
Pérez, Jesús M., et al.. (2018). UnPART: PART without the ‘partial’ condition of it. Information Sciences. 465. 505–522. 1 indexed citations
9.
Arbelaitz, Olatz, et al.. (2017). Desde la universidad hasta primaria: proyecto piloto de innovación docente en Informática. 10(2). 2. 2 indexed citations
10.
Otaegui, Oihana, et al.. (2017). Impact of the road network configuration on map‐matching algorithms for FCD in urban environments. IET Intelligent Transport Systems. 12(1). 12–21. 1 indexed citations
11.
Pérez, Jesús M., et al.. (2016). BFPART: Best-First PART. Information Sciences. 367-368. 927–952. 12 indexed citations
12.
Arbelaitz, Olatz, et al.. (2016). Analysis of several decision fusion strategies for clustering validation. Strategy definition, experiments and validation. Pattern Recognition Letters. 85. 42–48. 5 indexed citations
13.
Pérez, Jesús M., et al.. (2015). Coverage-based resampling: Building robust consolidated decision trees. Knowledge-Based Systems. 79. 51–67. 23 indexed citations
14.
Arbelaitz, Olatz, J. Martín, & Javier Muguerza. (2014). Analysis of Introducing Active Learning Methodologies in a Basic Computer Architecture Course. IEEE Transactions on Education. 58(2). 110–116. 29 indexed citations
15.
Arbelaitz, Olatz, J. Martín, & Javier Muguerza. (2013). Aprendizaje cooperativo y basado en proyectos en la asignatura Arquitectura de Computadores. 6(2). 6.
16.
Arbelaitz, Olatz, et al.. (2012). Enhancing a Web Usage Mining based Tourism Website Adaptation with Content Information. 287–292. 1 indexed citations
17.
García, Ander, Oihana Otaegui, María Teresa Linaza, Olatz Arbelaitz, & Pieter Vansteenwegen. (2009). Public Transportation Algorithm for an Intelligent Routing System. 1–8. 6 indexed citations
18.
Perona, Iñigo, Olatz Arbelaitz, Ibai Gurrutxaga, et al.. (2009). Unsupervised anomaly detection system for Nidis-s based on payload and probabilistic suffix trees.. 11–18. 1 indexed citations
19.
Gurrutxaga, Ibai, Olatz Arbelaitz, Jesús M. Pérez, et al.. (2008). Evaluation of malware clustering based on its dynamic behaviour. 163–170. 13 indexed citations
20.
Pérez, Jesús M., Javier Muguerza, Olatz Arbelaitz, Ibai Gurrutxaga, & J. Martín. (2004). Behavior of Consolidated Trees when using Resampling Techniques. 139–148. 2 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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