Gregory Ditzler
Impact in
- Artificial Intelligence top 1%
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Signal Processing top 5%
- Time Series Analysis and Forecasting
Papers in
-
- Data Stream Mining Techniques 14
- Anomaly Detection Techniques and Applications 13
- Adversarial Robustness in Machine Learning 10
- Machine Learning and Data Classification 10
- Neural Networks and Applications 5
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- Face and Expression Recognition 6
- Co-authors
- Robi Polikar (19 shared papers)Cesare Alippi (1 shared paper)Manuel Roveri (1 shared paper)Gail Rosen (13 shared papers)Hongki Jo (1 shared paper)Mehrdad Saif (1 shared paper)Roozbeh Razavi‐Far (1 shared paper)Ehsan Hallaji (1 shared paper)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (3 papers)Information Sciences (2 papers)Neural Networks (2 papers)IEEE Computational Intelligence Magazine (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Gregory Ditzler
55 papers receiving 1.5k citations
Gregory Ditzler's Hit Papers
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 1.1k
- Signal Processing 184
- Management Science and Operations Research 148
- Computer Networks and Communications 209
- Computer Vision and Pattern Recognition 127
Countries citing papers authored by Gregory Ditzler
This map shows the geographic impact of Gregory Ditzler'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 Gregory Ditzler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory Ditzler more than expected).
Fields of papers citing papers by Gregory Ditzler
This network shows the impact of papers produced by Gregory Ditzler. 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 Gregory Ditzler. The network helps show where Gregory Ditzler may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory Ditzler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learning in Nonstationary Environments: A Survey Hit paper breakdown → | 2015 | 533 |
| 2 | 2012 | 279 | |
| 3 | 2011 | 90 | |
| 4 | 2015 | 71 | |
| 5 | 2018 | 52 | |
| 6 | 2020 | 52 | |
| 7 | 2023 | 42 | |
| 8 | 2015 | 39 | |
| 9 | 2010 | 34 | |
| 10 | 2011 | 32 | |
| 11 | 2010 | 32 | |
| 12 | 2022 | 31 | |
| 13 | 2017 | 26 | |
| 14 | 2014 | 21 | |
| 15 | 2017 | 19 | |
| 16 | 2018 | 15 | |
| 17 | 2019 | 11 | |
| 18 | 2017 | 10 | |
| 19 | 2013 | 10 | |
| 20 | 2014 | 10 |
About Gregory Ditzler
Gregory Ditzler is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Management Science and Operations Research and Electrical and Electronic Engineering, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Data Stream Mining Techniques (14 papers), Anomaly Detection Techniques and Applications (13 papers), Adversarial Robustness in Machine Learning (10 papers), Machine Learning and Data Classification (10 papers), Advanced Bandit Algorithms Research (7 papers), Face and Expression Recognition (6 papers), Neural Networks and Applications (5 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Signal Processing (184 citations), Management Science and Operations Research (148 citations), Computer Networks and Communications (209 citations) and Computer Vision and Pattern Recognition (127 citations). Gregory Ditzler has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Robi Polikar, Cesare Alippi, Manuel Roveri, Gail Rosen, Hongki Jo, Mehrdad Saif, Roozbeh Razavi‐Far, Ehsan Hallaji, Huayu Li and Janet Roveda. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Information Sciences, Neural Networks, IEEE Computational Intelligence Magazine and IEEE Transactions on Knowledge and Data Engineering.
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.