Mark A. Hall
- Artificial Intelligence top 0.5%
- Information Systems top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Molecular Biology top 10%
- Signal Processing top 2%
- Co-authors
- Geoffrey HolmesLloyd A. SmithEibe FrankIan H. WittenSally Jo CunninghamLeonard E. TriggKlaus MayerHans‐Werner Mewes
- Topics
- Data Mining Algorithms and Applications (7 papers)Machine Learning and Data Classification (5 papers)Face and Expression Recognition (4 papers)
- Journals
- The Journal of the Acoustical Society of AmericaIEEE Transactions on Knowledge and Data EngineeringJournal of Machine Learning Research
- Partner nations
- New ZealandGermany
In The Last Decade
Mark A. Hall
14 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Artificial Intelligence 2.3k
- Information Systems 1.0k
- Computer Vision and Pattern Recognition 999
- Molecular Biology 915
- 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-authorship network of co-authors of Mark A. Hall
This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Hall. A scholar is included among the top collaborators of Mark A. Hall based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark A. Hall. Mark A. Hall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Data Mining: Practical Machine Learning Tools and Techniques, 3/E | 2 |
| 2 | 190 | |
| 3 | Combining Naive Bayes and Decision Tables | 92 |
| 4 | 287 | |
| 5 | Benchmarking attribute selection techniques for discrete class data miningbreakdown → | 868 |
| 6 | 1 | |
| 7 | Correlation-based Feature Selection for Discrete and Numeric Class Machine Learningbreakdown → | 1203 |
| 8 | Benchmarking attribute selection techniques for data mining | 25 |
| 9 | Feature Selection for Machine Learning: Comparing a Correlation-Based Filter Approach to the Wrapper | 389 |
| 10 | Feature selection for discrete and numeric class machine learning | 56 |
| 11 | Weka: Practical machine learning tools and techniques with Java implementations | 421 |
| 12 | Practical feature subset selection for machine learning | 357 |
| 13 | Correlation-based Feature Subset Selection for Machine Learningbreakdown → | 694 |
| 14 | Feature subset selection: a correlation based filter approach | 185 |
| 15 | 8 |
About Mark A. Hall
Mark A. Hall is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, 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) and Face and Expression Recognition (4 papers). The work is most often cited by research in Artificial Intelligence (2.3k citations), Software (252 citations) and Computer Vision and Pattern Recognition (999 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, Sally Jo Cunningham, Leonard E. Trigg, Klaus Mayer, Hans‐Werner Mewes, Yu Wang and Igor V. Tetko. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Transactions on Knowledge and Data Engineering and Journal of Machine Learning Research.
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.