Padhraic Smyth
Impact in
- Signal Processing top 0.1%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
- Artificial Intelligence top 0.05%
- Topic Modeling
- Advanced Text Analysis Techniques
Papers in
-
- Bayesian Methods and Mixture Models 39
- Bayesian Modeling and Causal Inference 26
- Topic Modeling 23
- Machine Learning and Algorithms 20
- Neural Networks and Applications 19
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- Data Management and Algorithms 21
- Co-authors
- Usama M. FayyadGregory Piatetsky-ShapiroHeikki MannilaDavid J. HandMark SteyversScott GaffneyMichal Rosen‐ZviArthur Asuncion
- Journals
- Machine Learning (7 papers)Journal of Climate (6 papers)Communications of the ACM (6 papers)Proceedings of the National Academy of Sciences (4 papers)Data Mining and Knowledge Discovery (3 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Padhraic Smyth
261 papers receiving 15.8k citations
Hit Papers
Peers
Comparison fields: 5 of 219
- Signal Processing 2.8k
- Artificial Intelligence 8.3k
- Information Systems 4.6k
- Statistical and Nonlinear Physics 1.6k
- Computer Science Applications 714
Countries citing papers authored by Padhraic Smyth
This map shows the geographic impact of Padhraic Smyth'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 Padhraic Smyth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Padhraic Smyth more than expected).
Fields of papers citing papers by Padhraic Smyth
This network shows the impact of papers produced by Padhraic Smyth. 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 Padhraic Smyth. The network helps show where Padhraic Smyth may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Padhraic Smyth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 32 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 10 | |
| 7 | 2022 | 40 | |
| 8 | 2020 | 16 | |
| 9 | A VISION FOR THE DEVELOPMENT OF BENCHMARKS TO BRIDGE GEOSCIENCE AND DATA SCIENCE | 2017 | 14 |
| 10 | Analyzing NIH Funding Patterns over Time with Statistical Text Analysis. | 2016 | 2 |
| 11 | 2012 | 185 | |
| 12 | 2004 | 28 | |
| 13 | Gene Expression Clustering with Functional Mixture Models | 2003 | 7 |
| 14 | Curve Clustering with Random Effects Regression Mixtures | 2003 | 49 |
| 15 | Discovering Chinese Words from Unsegmented Text. | 1999 | 37 |
| 16 | From data mining to knowledge discovery: an overview Hit paper breakdown → | 1996 | 1317 |
| 17 | Trainable Cataloging for Digital Image Libraries with Applications to Volcano Detection | 1995 | 5 |
| 18 | Knowledge discovery in large image databases: dealing with uncertainties in ground truth | 1994 | 26 |
| 19 | Probabilistic Anomaly Detection in Dynamic Systems | 1993 | 1 |
| 20 | Multiresolution pattern recognition of small volcanos in Magellan data | 1992 | 1 |
About Padhraic Smyth
Padhraic Smyth is a scholar working on Artificial Intelligence, Signal Processing, Statistics and Probability, Statistical and Nonlinear Physics and Information Systems, having authored 271 papers that have together received 17.6k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (39 papers), Data Mining Algorithms and Applications (26 papers), Bayesian Modeling and Causal Inference (26 papers), Topic Modeling (23 papers), Data Management and Algorithms (21 papers), Machine Learning and Algorithms (20 papers), Neural Networks and Applications (19 papers) and Climate variability and models (16 papers). The work is most often cited by research in Signal Processing (2.8k citations), Artificial Intelligence (8.3k citations), Information Systems (4.6k citations), Statistical and Nonlinear Physics (1.6k citations) and Computer Science Applications (714 citations). Padhraic Smyth has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Usama M. Fayyad, Gregory Piatetsky-Shapiro, Heikki Mannila, David J. Hand, Mark Steyvers, Scott Gaffney, Michal Rosen‐Zvi, Arthur Asuncion, R.M. Goodman and Max Welling. Their work appears in journals such as Machine Learning, Journal of Climate, Communications of the ACM, Proceedings of the National Academy of Sciences and Data Mining and Knowledge Discovery.
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.