2026 Pádraig Cunningham: 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	69	1984	1922	5	5	319	17617

Research.com Recognitions

2026 - Research.com Computer Science in Ireland Leader Award
2025 - Research.com Computer Science in Ireland Leader Award
2023 - Research.com Computer Science in Ireland Leader Award
2022 - Research.com Computer Science in Ireland Leader Award

Overview

Pádraig Cunningham is affiliated with University College Dublin in Ireland and specializes in the broad domain of computer science. Their research spans several subfields, with a significant focus on artificial intelligence and signal processing. The diversity of their work also extends into areas such as food science, computer vision and pattern recognition, and information systems.

The scientist's main research topics encompass:

Time Series Analysis and Forecasting
Machine Learning and Data Classification
Food Supply Chain Traceability
Music and Audio Processing
Explainable Artificial Intelligence (XAI)
Animal Behavior and Welfare Studies
Sports Performance and Training

Pádraig Cunningham's publication record includes works in a variety of venues, reflecting a multidisciplinary approach. Frequent publication venues comprise:

arXiv (Cornell University)
ARROW@Dublin Institute of Technology (Dublin Institute of Technology)
Proceedings of the International AAAI Conference on Web and Social Media
SSRN Electronic Journal
Zenodo (CERN European Organization for Nuclear Research)

Notable recent papers authored or co-authored by Cunningham include:

k-Nearest Neighbour Classifiers - A Tutorial, 2021, published in ACM Computing Surveys
Detecting voids in 3D printing using melt pool time series data, 2020, published in Journal of Intelligent Manufacturing
Network Analysis of Recurring YouTube Spam Campaigns, 2021, presented at the Proceedings of the International AAAI Conference on Web and Social Media
ECUE: a spam filter that uses machine learning to track concept drift, 2021, published in ARROW@Dublin Institute of Technology (Dublin Institute of Technology)
An empirical evaluation of kernels for time series, 2021, published in Artificial Intelligence Review

Frequent collaborators include:

Oshana Dissanayake
Sarah E. Mcpherson
E. Kennedy
Lucile Riaboff
William Blanzeisky

Best Publications

Advances in Case-Based Reasoning

Ian Smith;Boi Faltings

993
Citations
k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples).

Padraig Cunningham;Sarah Jane Delany

784
Citations
Practical solutions to the problem of diagonal dominance in kernel document clustering

Derek Greene;Pádraig Cunningham

683
Citations
Tracking the Evolution of Communities in Dynamic Social Networks

Derek Greene;Dónal Doyle;Pádraig Cunningham

672
Citations
k-Nearest Neighbour Classifiers

Pádraig Cunningham;Sarah Jane Delany

656
Citations
A case-based technique for tracking concept drift in spam filtering

Sarah Jane Delany;Pádraig Cunningham;Alexey Tsymbal;Lorcan Coyle

508
Citations
An analysis of the coherence of descriptors in topic modeling

Derek O'Callaghan;Derek Greene;Joe Carthy;Pádraig Cunningham

401
Citations
Diversity in search strategies for ensemble feature selection

Alexey Tsymbal;Mykola Pechenizkiy;Pádraig Cunningham

393
Citations
Software agents: A review

Shaw Green;Leon Hurst;Brenda Nangle;Padraig Cunningham

374
Citations
Supervised Learning

Unknown

329
Citations
Diversity versus Quality in Classification Ensembles Based on Feature Selection

Padraig Cunningham;John Carney

322
Citations
Dynamic integration of classifiers for handling concept drift

Alexey Tsymbal;Mykola Pechenizkiy;Pádraig Cunningham;Seppo Puuronen

295
Citations
A Matrix Factorization Approach for Integrating Multiple Data Views

Derek Greene;Pádraig Cunningham

265
Citations
Hierarchical Modularity and the Evolution of Genetic Interactomes across Species

Colm J. Ryan;Colm J. Ryan;Colm J. Ryan;Assen Roguev;Assen Roguev;Kristin Patrick;Kristin Patrick;Jiewei Xu;Jiewei Xu

259
Citations
Using diversity in preparing ensembles of classifiers based on different feature subsets to minimize generalization error

Gabriele Zenobi;Padraig Cunningham

259
Citations
Machine Learning Techniques for Multimedia

Matthieu Cord;Pádraig Cunningham

252
Citations
How Many Topics? Stability Analysis for Topic Models

Derek Greene;Derek O'Callaghan;Pádraig Cunningham

252
Citations
Stability problems with artificial neural networks and the ensemble solution

PáDraig Cunningham;John Carney;Saji Jacob

250
Citations
A Taxonomy of Similarity Mechanisms for Case-Based Reasoning

P. Cunningham

218
Citations
A Case-Based Approach to Spam Filtering that Can Track Concept Drift

Pádraig Cunningham;Niamh Nowlan;Sarah Jane Delany;Mads Haahr

186
Citations
Solutions to Instability Problems with Sequential Wrapper-based Approaches to Feature Selection

Kevin Dunne;Padraig Cunningham;Francisco Azuaje

182
Citations

Frequent Co-Authors

Barry Smyth University College Dublin

Nevan J. Krogan University of California, San Francisco

Mykola Pechenizkiy Eindhoven University of Technology

Gerard Cagney University College Dublin

Francisco Azuaje Genomics England

Kevan M. Shokat University of California, San Francisco

Ulrik Brandes ETH Zurich

Mark T. Keane University College Dublin

Ralph Bergmann University of Trier

Pedro Beltrao European Bioinformatics Institute

External Links

Personal website of Pádraig Cunningham Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring online education in Computer Science opens doors to diverse pathways. Starting with an online associate degree is a smart option for those looking for an affordable and flexible entry point into tech-related fields. Many institutions offer convenient programs that allow you to balance study with other life commitments.

If cost is a concern, there are affordable online colleges that deliver quality education without breaking the bank. These programs can be helpful for students looking to minimize student debt while pursuing their career goals.

Worried about grades? Some reputable colleges in the U.S. are known as a college with low gpa acceptance, offering opportunities for students who may not have a perfect academic record but still have the motivation to succeed in Computer Science.

Finally, Computer Science skills can complement other interdisciplinary fields, such as environmental science. If you’re passionate about sustainability, learn more about what you can achieve with an environmental science degree and how technology plays a role in solving real-world issues.