George H. John
Impact in
- Artificial Intelligence top 0.1%
- Machine Learning and Data Classification
- Neural Networks and Applications
- Evolutionary Algorithms and Applications
- Imbalanced Data Classification Techniques
- Metaheuristic Optimization Algorithms Research
-
- Face and Expression Recognition
Papers in
-
- Machine Learning and Data Classification 5
- Machine Learning and Algorithms 3
- Imbalanced Data Classification Techniques 3
-
- Face and Expression Recognition 2
- Co-authors
- Ron Kohavi (2 shared papers)Pat Langley (2 shared papers)Karl Pfleger (1 shared paper)Duncan Manley (1 shared paper)Peter Miller (2 shared papers)Randy Kerber (1 shared paper)Xiao Feng (1 shared paper)Kevin Johnson (1 shared paper)
- Journals
- Artificial Intelligence (1 paper)IEEE Expert (1 paper)arXiv (Cornell University) (1 paper)Knowledge Discovery and Data Mining (3 papers)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2 papers)
- Partner nations
- United States
In The Last Decade
George H. John
16 papers receiving 7.5k citations
George H. John's Hit Papers
Peers
Comparison fields: 5 of 207
- Artificial Intelligence 4.1k
- Computer Vision and Pattern Recognition 1.9k
- Signal Processing 727
- Information Systems 1.2k
- Software 194
Countries citing papers authored by George H. John
This map shows the geographic impact of George H. John'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 George H. John with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George H. John more than expected).
Fields of papers citing papers by George H. John
This network shows the impact of papers produced by George H. John. 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 George H. John. The network helps show where George H. John may publish in the future.
Co-authors
The 8 scholars most cited alongside George H. John, 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 | Wrappers for feature subset selection Hit paper breakdown → | 1997 | 6202 |
| 2 | Estimating Continuous Distributions in Bayesian Classifiers Hit paper breakdown → | 2013 | 1363 |
| 3 | Robust decision trees: removing outliers from databases | 1995 | 143 |
| 4 | Static versus dynamic sampling for data mining | 1996 | 105 |
| 5 | Enhancements to the data mining process | 1997 | 75 |
| 6 | 2002 | 69 | |
| 7 | 1996 | 23 | |
| 8 | When the best move isn't optimal: Q-learning with exploration | 1994 | 17 |
| 9 | 1999 | 16 | |
| 10 | Cross-Validated C4.5: Using Error Estimation for Automatic Parameter Selection | 1994 | 10 |
| 11 | SIPping from the data firehose | 1997 | 8 |
| 12 | 2007 | 6 | |
| 13 | 2002 | 5 | |
| 14 | 2002 | 4 | |
| 15 | 2002 | 1 | |
| 16 | Geometry-Based Learning Algorithms | 2007 | 1 |
| 17 | 2010 | 0 | |
| 18 | An investigation of solid ink density variation as determined by the acceptability of overprints in process color printing | 1976 | 0 |
About George H. John
George H. John is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Management Science and Operations Research and Computer Networks and Communications, having authored 18 papers that have together received 8.0k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (5 papers), Data Mining Algorithms and Applications (4 papers), Machine Learning and Algorithms (3 papers), Imbalanced Data Classification Techniques (3 papers), Color Science and Applications (2 papers), Advanced Database Systems and Queries (2 papers), Face and Expression Recognition (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (4.1k citations), Computer Vision and Pattern Recognition (1.9k citations), Signal Processing (727 citations), Information Systems (1.2k citations) and Software (194 citations). George H. John has collaborated with scholars based in United States. Frequent co-authors include Ron Kohavi, Pat Langley, Karl Pfleger, Duncan Manley, Peter Miller, Randy Kerber, Xiao Feng and Kevin Johnson. Their work appears in journals such as Artificial Intelligence, IEEE Expert, arXiv (Cornell University), Knowledge Discovery and Data Mining and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.