Patrick M. Murphy
Impact in
- Artificial Intelligence top 1%
- Neural Networks and Applications
- Imbalanced Data Classification Techniques
- Machine Learning and Data Classification
- Fuzzy Logic and Control Systems
- Metaheuristic Optimization Algorithms Research
-
- Face and Expression Recognition
Papers in
-
- Machine Learning and Data Classification 3
- Imbalanced Data Classification Techniques 2
- Neural Networks and Applications 2
- Adversarial Robustness in Machine Learning 1
-
- Data Mining Algorithms and Applications 2
- Co-authors
- Michael J. Pazzani (6 shared papers)Kamal Ali (2 shared papers)Clifford Brunk (1 shared paper)Timothy Hume (1 shared paper)Christopher J. Merz (1 shared paper)Betty H. Olson (1 shared paper)Dennis Kibler (1 shared paper)
- Journals
- Journal of Artificial Intelligence Research (1 paper)American Water Works Association (1 paper)Medical Entomology and Zoology (1 paper)ArXiv.org (1 paper)eScholarship (California Digital Library) (2 papers)
- Partner nations
- United States
In The Last Decade
Patrick M. Murphy
9 papers receiving 1.9k citations
Patrick M. Murphy's Hit Papers
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 1.7k
- Computer Vision and Pattern Recognition 518
- Information Systems 546
- Computational Theory and Mathematics 379
- Signal Processing 193
Countries citing papers authored by Patrick M. Murphy
This map shows the geographic impact of Patrick M. Murphy'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 Patrick M. Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick M. Murphy more than expected).
Fields of papers citing papers by Patrick M. Murphy
This network shows the impact of papers produced by Patrick M. Murphy. 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 Patrick M. Murphy. The network helps show where Patrick M. Murphy may publish in the future.
Co-authors
The 7 scholars most cited alongside Patrick M. Murphy, 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 | UCI Repository of Machine Learning Databases Hit paper breakdown → | 1994 | 1557 |
| 2 | 1994 | 279 | |
| 3 | 1994 | 80 | |
| 4 | 1991 | 75 | |
| 5 | 1994 | 19 | |
| 6 | 1994 | 11 | |
| 7 | Trading off coverage for accuracy in forecasts: Applications to clinical data analysis | 1994 | 10 |
| 8 | 1996 | 3 | |
| 9 | An empirical analysis of the benefit of decision tree size biases as a function of concept distribution | 1995 | 3 |
| 10 | Extending the practicality of theory revision systems through the revision of production system rulebases | 1996 | 1 |
About Patrick M. Murphy
Patrick M. Murphy is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Management Information Systems and Environmental Engineering, having authored 10 papers that have together received 2.0k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (3 papers), Imbalanced Data Classification Techniques (2 papers), Data Mining Algorithms and Applications (2 papers), Neural Networks and Applications (2 papers), Rough Sets and Fuzzy Logic (2 papers), Business Process Modeling and Analysis (1 paper), Model-Driven Software Engineering Techniques (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Artificial Intelligence (1.7k citations), Computer Vision and Pattern Recognition (518 citations), Information Systems (546 citations), Computational Theory and Mathematics (379 citations) and Signal Processing (193 citations). Patrick M. Murphy has collaborated with scholars based in United States. Frequent co-authors include Michael J. Pazzani, Kamal Ali, Clifford Brunk, Timothy Hume, Christopher J. Merz, Betty H. Olson and Dennis Kibler. Their work appears in journals such as Journal of Artificial Intelligence Research, American Water Works Association, Medical Entomology and Zoology, ArXiv.org and eScholarship (California Digital Library).
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.