Iñigo Perona

1.6k total citations · 1 hit paper
14 papers, 1.0k citations indexed

About

Iñigo Perona is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Iñigo Perona has authored 14 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Iñigo Perona's work include Advanced Clustering Algorithms Research (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Network Security and Intrusion Detection (3 papers). Iñigo Perona is often cited by papers focused on Advanced Clustering Algorithms Research (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Network Security and Intrusion Detection (3 papers). Iñigo Perona collaborates with scholars based in Spain and United Kingdom. Iñigo Perona's co-authors include Javier Muguerza, Olatz Arbelaitz, Ibai Gurrutxaga, Jesús M. Pérez, J. Martín, Ane Murueta‐Goyena, Juan Carlos Gómez‐Esteban, Rocío Del Pino, Beatriz Tijero and Iñigo Gabilondo and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Neural Computing and Applications.

In The Last Decade

Iñigo Perona

13 papers receiving 1.0k citations

Hit Papers

align trajectories

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.

An extensive comparative study of cluster validity indices

2012 878 citations Olatz Arbelaitz, Ibai Gurrutxaga et al. Pattern Recognition profile →

Peers

Countries citing papers authored by Iñigo Perona

Since Specialization

Citations

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

Fields of papers citing papers by Iñigo Perona

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iñigo Perona

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

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Diagnostic classification of Parkinson’s disease based on non-motor manifestations and machine learning strategies 2022 ·Neural Computing and Applications ·(unknown), Olatz Arbelaitz, Ibai Gurrutxaga, Javier Muguerza, Iñigo Perona, Ane Murueta‐Goyena, Marian Acera, Rocío Del Pino, Beatriz Tijero, Juan Carlos Gómez‐Esteban, Iñigo Gabilondo	25
2	Modelling the interactive behaviour of users with a medication safety dashboard in a primary care setting 2019 ·International Journal of Medical Informatics ·(unknown), Javier Muguerza, Olatz Arbelaitz, Iñigo Perona, Richard N. Keers, Darren M. Ashcroft, Richard Williams, Niels Peek, Caroline Jay, Markel Vigo	6
3	Towards automatic problem detection in web navigation based on client-side interaction data 2019 ·Communities in ADDI (University of the Basque Country) ·Iñigo Perona, (unknown), Olatz Arbelaitz, Javier Muguerza, J. Eduardo Pérez, (unknown)	2
4	Inferring Visual Behaviour from User Interaction Data on a Medical Dashboard 2018 ·Research Explorer (The University of Manchester) ·(unknown), Javier Muguerza, Olatz Arbelaitz, Iñigo Perona, Richard N. Keers, Darren M. Ashcroft, Richard Williams, Niels Peek, Caroline Jay, Markel Vigo	4
5	Generation of the database gurekddcup 2017 ·Iñigo Perona, (unknown), Ibai Gurrutxaga, J. I. Martı́n, Javier Muguerza, Jesús M. Pérez	7
6	Web usage and content mining to extract knowledge for modelling the users of the Bidasoa Turismo website and to adapt it 2013 ·Expert Systems with Applications ·Olatz Arbelaitz, Ibai Gurrutxaga, (unknown), Javier Muguerza, Jesús M. Pérez, Iñigo Perona	25
7	Enhancing a Web Usage Mining based Tourism Website Adaptation with Content Information 2012 ·Olatz Arbelaitz, Ibai Gurrutxaga, (unknown), Javier Muguerza, Jesús M. Pérez, Iñigo Perona	1
8	An extensive comparative study of cluster validity indices breakdown → 2012 ·Pattern Recognition ·Olatz Arbelaitz, Ibai Gurrutxaga, Javier Muguerza, Jesús M. Pérez, Iñigo Perona	878
9	Adaptation of the User Navigation Scheme using Clustering and Frequent Pattern Mining Techiques for Profiling 2012 ·Communities in ADDI (University of the Basque Country) ·Olatz Arbelaitz, Ibai Gurrutxaga, (unknown), Javier Muguerza, Jesús M. Pérez, Iñigo Perona	1
10	Consolidated trees versus bagging when explanation is required 2010 ·Computing ·Jesús M. Pérez, (unknown), Olatz Arbelaitz, Ibai Gurrutxaga, J. Martín, Javier Muguerza, Iñigo Perona	7
11	SEP/COP: An efficient method to find the best partition in hierarchical clustering based on a new cluster validity index 2010 ·Pattern Recognition ·Ibai Gurrutxaga, (unknown), Olatz Arbelaitz, J. Martín, Javier Muguerza, Jesús M. Pérez, Iñigo Perona	74
12	Unsupervised anomaly detection system for Nidis-s based on payload and probabilistic suffix trees. 2009 ·Iñigo Perona, Olatz Arbelaitz, Ibai Gurrutxaga, J. Martín, Javier Muguerza, Jesús M. Pérez	1
13	SIHC: A STABLE INCREMENTAL HIERARCHICAL CLUSTERING ALGORITHM 2009 ·Communities in ADDI (University of the Basque Country) ·Ibai Gurrutxaga, Olatz Arbelaitz, J. Martín, Javier Muguerza, Jesús M. Pérez, Iñigo Perona	3
14	Evaluation of malware clustering based on its dynamic behaviour 2008 ·Ibai Gurrutxaga, Olatz Arbelaitz, Jesús M. Pérez, Javier Muguerza, J. Martín, Iñigo Perona	13

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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