Rory Mitchell
Impact in
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
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- Data Mining Algorithms and Applications 3
-
- Machine Learning and Data Classification 2
- Anomaly Detection Techniques and Applications 2
- Explainable Artificial Intelligence (XAI) 2
- Co-authors
- Eibe Frank (3 shared papers)Geoffrey Holmes (3 shared papers)Lloyd A. Smith (2 shared papers)P. Michael McFadden (1 shared paper)Philip J. Walker (1 shared paper)Michaël Benesty (1 shared paper)Mao Lin (1 shared paper)Tianqi Chen (1 shared paper)
- Journals
- PeerJ Computer Science (2 papers)Journal of Vascular Surgery (1 paper)ACM Transactions on Database Systems (1 paper)Computers and Electronics in Agriculture (1 paper)Research Commons (The University of Waikato) (1 paper)
- Partner nations
- New ZealandUnited States
In The Last Decade
Rory Mitchell
9 papers receiving 304 citations
Peers
Comparison fields: 5 of 124
- Health Informatics 8
- Health Information Management 18
- Artificial Intelligence 91
- Environmental Engineering 23
- Health 13
Countries citing papers authored by Rory Mitchell
This map shows the geographic impact of Rory Mitchell'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 Rory Mitchell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rory Mitchell more than expected).
Fields of papers citing papers by Rory Mitchell
This network shows the impact of papers produced by Rory Mitchell. 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 Rory Mitchell. The network helps show where Rory Mitchell may publish in the future.
Co-authors
The 17 scholars most cited alongside Rory Mitchell, 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 | 2017 | 205 | |
| 2 | 2022 | 54 | |
| 3 | 1996 | 28 | |
| 4 | Multilevel modeling might not be the answer | 2001 | 14 |
| 5 | Extreme Gradient Boosting [R package xgboost version 1.3.2.1] | 2021 | 5 |
| 6 | Geometric comparison of classifications and rule sets | 1994 | 4 |
| 7 | 1993 | 3 | |
| 8 | The application of machine learning techniques to time-series data | 1995 | 2 |
| 9 | 2021 | 2 |
About Rory Mitchell
Rory Mitchell is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing and Computational Theory and Mathematics, having authored 9 papers that have together received 317 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (3 papers), Time Series Analysis and Forecasting (2 papers), Machine Learning and Data Classification (2 papers), Anomaly Detection Techniques and Applications (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Data Management and Algorithms (1 paper), Hermeneutics and Narrative Identity (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Health Informatics (8 citations), Health Information Management (18 citations), Artificial Intelligence (91 citations), Environmental Engineering (23 citations) and Health (13 citations). Rory Mitchell has collaborated with scholars based in New Zealand and United States. Frequent co-authors include Eibe Frank, Geoffrey Holmes, Lloyd A. Smith, P. Michael McFadden, Philip J. Walker, Michaël Benesty, Mao Lin, Tianqi Chen, Hyunsu Cho and Yuan Yan Tang. Their work appears in journals such as PeerJ Computer Science, Journal of Vascular Surgery, ACM Transactions on Database Systems, Computers and Electronics in Agriculture and Research Commons (The University of Waikato).
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.