2026 Ludmila I. Kuncheva: 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	59	3332	3236	199	197	197	25326

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

3332

3236

199

197

25326

Research.com Recognitions

2012 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to multiple classifier systems

Overview

Ludmila I. Kuncheva is affiliated with Bangor University in the United Kingdom. Their research primarily spans the fields of Computer Science and Biochemistry, Genetics and Molecular Biology, with significant contributions in subfields such as Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Ecology, and Radiology, Nuclear Medicine and Imaging.

The scientist's recent publications include the following papers:

"An experimental evaluation of mixup regression forests," 2020, Expert Systems with Applications
"Feature Selection from High-Dimensional Data with Very Low Sample Size: A Cautionary Tale," 2020, arXiv (Cornell University)
"An experiment on animal re-identification from video," 2023, Ecological Informatics
"Basic Ensembles of Vanilla-Style Deep Learning Models Improve Liver Segmentation From CT Images," 2020, arXiv (Cornell University)
"Semi-supervised classification with pairwise constraints: A case study on animal identification from video," 2023, Information Fusion

Ludmila I. Kuncheva's frequent co-authors include:

Juan J. Rodríguez
Samuel L. Hennessey
José Luis Garrido-Labrador
Ismael Ramos-Pérez
Álvar Arnaiz-González

The scientist has published multiple works in venues such as:

arXiv (Cornell University)
Ecological Informatics
Zenodo (CERN European Organization for Nuclear Research)
Expert Systems with Applications
Information Fusion

Their research topics cover areas including:

Identification and Quantification in Food
Machine Learning and Data Classification
Environmental DNA in Biodiversity Studies
Imbalanced Data Classification Techniques
Anomaly Detection Techniques and Applications
Wildlife Ecology and Conservation
Food Supply Chain Traceability

Ludmila I. Kuncheva was recognized as a Fellow of the International Association for Pattern Recognition (IAPR) in 2012 for contributions to multiple classifier systems.

Best Publications

Combining Pattern Classifiers

Ludmila I. Kuncheva

4143
Citations
Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy

Ludmila I. Kuncheva;Christopher J. Whitaker

3072
Citations
Rotation Forest: A New Classifier Ensemble Method

J.J. Rodriguez;L.I. Kuncheva;C.J. Alonso

2329
Citations
Decision templates for multiple classifier fusion: an experimental comparison.

Ludmila I. Kuncheva;James C. Bezdek;Robert P.W. Duin

1358
Citations
A theoretical study on six classifier fusion strategies

L.I. Kuncheva

1017
Citations
Fuzzy Classifier Design

Ludmila I. Kuncheva

740
Citations
Limits on the majority vote accuracy in classifier fusion

Ludmila I. Kuncheva;Christopher J. Whitaker;Catherine A. Shipp;Robert P. W. Duin

505
Citations
Switching between selection and fusion in combining classifiers: an experiment

L.I. Kuncheva

504
Citations
A stability index for feature selection

Ludmila I. Kuncheva

488
Citations
Classifier Ensembles for Changing Environments

Ludmila I. Kuncheva

485
Citations
Relationships between combination methods and measures of diversity in combining classifiers

Catherine A. Shipp;Ludmila I. Kuncheva

421
Citations
Evaluation of Stability of k-Means Cluster Ensembles with Respect to Random Initialization

L.I. Kuncheva;D.P. Vetrov

417
Citations
Using diversity in cluster ensembles

L.I. Kuncheva;S.T. Hadjitodorov

403
Citations
Designing classifier fusion systems by genetic algorithms

L.I. Kuncheva;L.C. Jain

350
Citations
Moderate diversity for better cluster ensembles

Stefan T. Hadjitodorov;Ludmila I. Kuncheva;Ludmila P. Todorova

299
Citations
Is independence good for combining classifiers

L.I. Kuncheva;C.J. Whitaker;C.A. Shipp;R.P.W. Duin

295
Citations
Nearest prototype classification: clustering, genetic algorithms, or random search?

L.I. Kuncheva;J.C. Bezdek

289
Citations
Random Subspace Ensembles for fMRI Classification

L.I. Kuncheva;J.J. Rodriguez;C.O. Plumpton;D.E.J. Linden

287
Citations
A weighted voting framework for classifiers ensembles

Ludmila I. Kuncheva;Juan J. Rodríguez

283
Citations
Nearest neighbor classifier: simultaneous editing and feature selection

Ludmila I. Kuncheva;Lakhmi C. Jain

280
Citations
Decision templates for multiple classi"er fusion: an experimental comparison

Ludmila I. Kuncheva;James C. Bezdek;Robert P. W. Duin

10
Citations

Frequent Co-Authors

Christopher J. Whitaker Bangor University

James C. Bezdek University of Melbourne

Robert P. W. Duin Delft University of Technology

David Edmund Johannes Linden Maastricht University

Carlo Sansone University of Naples Federico II

Lakhmi C. Jain University of South Australia

Raghu Krishnapuram Indian Institute of Science

Sushmita Mitra Indian Statistical Institute

Antonio Pescape University of Naples Federico II

Petia Radeva University of Barcelona

External Links

Personal website of Ludmila I. Kuncheva Google Scholar page

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