2026 Padhraic Smyth: 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	86	745	720	392	378	379	60550

Research.com Recognitions

2013 - ACM Fellow For contributions to probabilistic and statistical approaches to data mining and machine learning.

Overview

Padhraic Smyth is affiliated with the University of California, Irvine in the United States. Their research primarily spans the field of Computer Science with a strong emphasis on Artificial Intelligence. Their work also extends into subfields such as Global and Planetary Change, Computer Vision and Pattern Recognition, Atmospheric Science, and Signal Processing.

The main topics addressed in their research include:

Anomaly Detection Techniques and Applications
Explainable Artificial Intelligence (XAI)
Machine Learning and Data Classification
Fire effects on ecosystems
Data Stream Mining Techniques
Adversarial Robustness in Machine Learning
Machine Learning and Algorithms

Padhraic Smyth has contributed to a number of recent papers, notable among them are:

"Mining Big Data in Education: Affordances and Challenges," 2020, published in Review of Research in Education
"Bayesian modeling of human-AI complementarity," 2022, Proceedings of the National Academy of Sciences
"The benefits and caveats of using clickstream data to understand student self-regulatory behaviors: opening the black box of learning processes," 2020, International Journal of Educational Technology in Higher Education
"California wildfire spread derived using VIIRS satellite observations and an object-based tracking system," 2022, Scientific Data
"What large language models know and what people think they know," 2025, Nature Machine Intelligence

The frequently collaborating co-authors of Smyth include:

Mark Steyvers
Efi Foufoula-Georgiou
James T. Randerson
Stephan Mandt
Gavin Kerrigan

Smyth's publications are often found in recognized venues such as:

arXiv (Cornell University)
Zenodo (CERN European Organization for Nuclear Research)
Statistical Analysis and Data Mining The ASA Data Science Journal
Nature Communications
IEEE Transactions on Geoscience and Remote Sensing

In addition to journal articles, Smyth has published a book titled Advances in Knowledge Discovery and Data Mining under the Springer Science+Business Media publisher in 2021.

Their academic work has been recognized with the ACM Fellow award in 2013, granted for contributions to probabilistic and statistical approaches to data mining and machine learning.

Best Publications

From Data Mining to Knowledge Discovery in Databases

Usama M. Fayyad;Gregory Piatetsky-Shapiro;Padhraic Smyth

12515
Citations
Principles of Data Mining

David J. Hand;Padhraic Smyth;Heikki Mannila

6587
Citations
Principles of Data Mining

David J. Hand;Heikki Mannila;Padhraic Smyth

4989
Citations
The KDD process for extracting useful knowledge from volumes of data

Usama Fayyad;Gregory Piatetsky-Shapiro;Padhraic Smyth

3521
Citations
From data mining to knowledge discovery: an overview

Usama M. Fayyad;Gregory Piatetsky-Shapiro;Padhraic Smyth

2214
Citations
Knowledge discovery and data mining: towards a unifying framework

Usama Fayyad;Gregory Piatetsky-Shapiro;Padhraic Smyth

1728
Citations
The author-topic model for authors and documents

Michal Rosen-Zvi;Thomas Griffiths;Mark Steyvers;Padhraic Smyth

1458
Citations
Rule discovery from time series

Gautam Das;King-Ip Lin;Heikki Mannila;Gopal Renganathan

1018
Citations
Probabilistic author-topic models for information discovery

Mark Steyvers;Padhraic Smyth;Michal Rosen-Zvi;Thomas Griffiths

855
Citations
Fast collapsed gibbs sampling for latent dirichlet allocation

Ian Porteous;David Newman;Alexander Ihler;Arthur Asuncion

778
Citations
A Spectral Clustering Approach To Finding Communities in Graph.

Scott White;Padhraic Smyth

776
Citations
On smoothing and inference for topic models

Arthur Asuncion;Max Welling;Padhraic Smyth;Yee Whye Teh

758
Citations
Clustering Sequences with Hidden Markov Models

Padhraic Smyth

655
Citations
Trajectory clustering with mixtures of regression models

Scott Gaffney;Padhraic Smyth

654
Citations
Algorithms for estimating relative importance in networks

Scott White;Padhraic Smyth

594
Citations
Distributed Algorithms for Topic Models

David Newman;Arthur Asuncion;Padhraic Smyth;Max Welling

539
Citations
An information theoretic approach to rule induction from databases

P. Smyth;R.M. Goodman

523
Citations
Modeling the Internet and the Web

Pierre Baldi;Paolo Frasconi;Padhraic Smyth

511
Citations
Visualization of navigation patterns on a Web site using model-based clustering

Igor Cadez;David Heckerman;Christopher Meek;Padhraic Smyth

470
Citations
Probabilistic Independence Networks for Hidden Markov Probability Models

Padhraic Smyth;Padhraic Smyth;David Heckerman;Michael I. Jordan

463
Citations
The KDD process for extracting useful knowledge from volumes of data : Data mining and knowledge discovery in databases

U. Fayyad;G. Piatetsky-Shapiro;P. Smyth

16
Citations

Frequent Co-Authors

Alexander T. Ihler University of California, Irvine

Heikki Mannila Aalto University

Mark Steyvers University of California, Irvine

Max Welling University of Amsterdam

Andrew W. Robertson Columbia University

Usama M. Fayyad Open Insights

David J. Hand Imperial College London

Pierre Baldi University of California, Irvine

Michael Ghil École Normale Supérieure

Paolo Frasconi University of Florence

External Links

Personal website of Padhraic Smyth Google Scholar page

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

Related Online Degrees & Career Pathways

There are a growing number of flexible, online degree options for those interested in Computer Science and related fields. If affordability is a main concern, you may want to explore what is the cheapest data science course in the us? to find programs that balance quality education with lower tuition costs.

For those looking to expand their technical expertise, an online bachelor’s in electrical engineering provides a strong foundation in hardware and system design—skills that often complement a background in computer science.

If you want to enter the tech workforce quickly or boost your credentials, consider certifications that pay well. These certifications can provide practical skills and improve job prospects without a large time or financial commitment.

For accelerated advancement, the quickest masters degree online options are ideal for those who wish to earn an advanced degree in less time, helping graduates pursue leadership roles sooner.