Mark A. Hall
Impact in
- Artificial Intelligence top 0.5%
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Evolutionary Algorithms and Applications
- Software top 2%
Papers in
-
- Machine Learning and Data Classification 5
- Neural Networks and Applications 3
- Imbalanced Data Classification Techniques 2
- Algorithms and Data Compression 2
-
- Data Mining Algorithms and Applications 7
- Co-authors
- Geoffrey Holmes (4 shared papers)Lloyd A. Smith (4 shared papers)Eibe Frank (5 shared papers)Ian H. Witten (3 shared papers)Leonard E. Trigg (1 shared paper)Sally Jo Cunningham (1 shared paper)Igor V. Tetko (1 shared paper)Hans‐Werner Mewes (1 shared paper)
- Journals
- The Journal of the Acoustical Society of America (1 paper)Journal of Machine Learning Research (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Computational Biology and Chemistry (1 paper)The Florida AI Research Society (1 paper)
- Partner nations
- New ZealandGermany
In The Last Decade
Mark A. Hall
14 papers receiving 4.4k citations
Mark A. Hall's Hit Papers
Peers
Comparison fields: 5 of 183
- Artificial Intelligence 2.3k
- Software 252
- Computer Vision and Pattern Recognition 999
- Information Systems 1.0k
- Signal Processing 428
Countries citing papers authored by Mark A. Hall
This map shows the geographic impact of Mark A. Hall'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 Mark A. Hall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Hall more than expected).
Fields of papers citing papers by Mark A. Hall
This network shows the impact of papers produced by Mark A. Hall. 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 Mark A. Hall. The network helps show where Mark A. Hall may publish in the future.
Co-authors
The 14 scholars most cited alongside Mark A. Hall, 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 | Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning Hit paper breakdown → | 2000 | 1203 |
| 2 | Benchmarking attribute selection techniques for discrete class data mining Hit paper breakdown → | 2003 | 868 |
| 3 | Correlation-based Feature Subset Selection for Machine Learning Hit paper breakdown → | 1998 | 694 |
| 4 | Weka: Practical machine learning tools and techniques with Java implementations | 1999 | 421 |
| 5 | Feature Selection for Machine Learning: Comparing a Correlation-Based Filter Approach to the Wrapper | 1999 | 389 |
| 6 | Practical feature subset selection for machine learning | 1998 | 357 |
| 7 | 2005 | 287 | |
| 8 | 2010 | 190 | |
| 9 | Feature subset selection: a correlation based filter approach | 1997 | 185 |
| 10 | Combining Naive Bayes and Decision Tables | 2008 | 92 |
| 11 | Feature selection for discrete and numeric class machine learning | 1999 | 56 |
| 12 | Benchmarking attribute selection techniques for data mining | 2000 | 25 |
| 13 | 1996 | 8 | |
| 14 | Data Mining: Practical Machine Learning Tools and Techniques, 3/E | 2014 | 2 |
| 15 | 2002 | 1 |
About Mark A. Hall
Mark A. Hall is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Computational Theory and Mathematics, having authored 15 papers that have together received 4.8k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (7 papers), Machine Learning and Data Classification (5 papers), Face and Expression Recognition (4 papers), Neural Networks and Applications (3 papers), Imbalanced Data Classification Techniques (2 papers), Rough Sets and Fuzzy Logic (2 papers), Music Technology and Sound Studies (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Artificial Intelligence (2.3k citations), Software (252 citations), Computer Vision and Pattern Recognition (999 citations), Information Systems (1.0k citations) and Signal Processing (428 citations). Mark A. Hall has collaborated with scholars based in New Zealand and Germany. Frequent co-authors include Geoffrey Holmes, Lloyd A. Smith, Eibe Frank, Ian H. Witten, Leonard E. Trigg, Sally Jo Cunningham, Igor V. Tetko, Hans‐Werner Mewes, Klaus Mayer and Axel Facius. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Machine Learning Research, IEEE Transactions on Knowledge and Data Engineering, Computational Biology and Chemistry and The Florida AI Research Society.
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.