Ralf Klinkenberg
Impact in
- Artificial Intelligence top 1%
- Data Stream Mining Techniques
- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
- Text and Document Classification Technologies
- Imbalanced Data Classification Techniques
- Signal Processing top 5%
- Time Series Analysis and Forecasting
Papers in
-
- Data Stream Mining Techniques 10
- Machine Learning and Data Classification 6
-
- Advanced Bandit Algorithms Research 4
- Co-authors
- Martin Scholz (3 shared papers)Ingo Mierswa (4 shared papers)Thorsten Joachims (1 shared paper)Michael Wurst (1 shared paper)Stefan Rüping (1 shared paper)Simon Fischer (1 shared paper)Jesús S. Aguilar–Ruiz (1 shared paper)João Gama (1 shared paper)
- Journals
- Intelligent Data Analysis (3 papers)SHILAP Revista de lepidopterología (1 paper)Technische Universität Dortmund Eldorado (Technische Universität Dortmund) (4 papers)2021 IEEE International Conference on Big Data (Big Data) (1 paper)LWA (1 paper)
In The Last Decade
Ralf Klinkenberg
22 papers receiving 1.4k citations
Ralf Klinkenberg's Hit Papers
Peers
Comparison fields: 5 of 130
- Artificial Intelligence 1.1k
- Signal Processing 232
- Management Science and Operations Research 194
- Information Systems 318
- Computer Science Applications 68
Countries citing papers authored by Ralf Klinkenberg
This map shows the geographic impact of Ralf Klinkenberg'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 Ralf Klinkenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralf Klinkenberg more than expected).
Fields of papers citing papers by Ralf Klinkenberg
This network shows the impact of papers produced by Ralf Klinkenberg. 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 Ralf Klinkenberg. The network helps show where Ralf Klinkenberg may publish in the future.
Co-authors
The 23 scholars most cited alongside Ralf Klinkenberg, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | YALE Hit paper breakdown → | 2006 | 661 |
| 2 | 2004 | 276 | |
| 3 | Detecting Concept Drift with Support Vector Machines | 2000 | 263 |
| 4 | Adaptive Information Filtering: Learning in the Presence of Concept Drifts | 1998 | 91 |
| 5 | 2006 | 72 | |
| 6 | 2007 | 54 | |
| 7 | 2002 | 25 | |
| 8 | Using Labeled and Unlabeled Data to Learn Drifting Concepts | 2001 | 23 |
| 9 | Concept Drift and the Importance of Example. | 2003 | 23 |
| 10 | 2002 | 22 | |
| 11 | Meta-Learning, Model Selection, and Example Selection in Machine Learning Domains with Concept Drift. | 2005 | 20 |
| 12 | 2008 | 15 | |
| 13 | 2021 | 13 | |
| 14 | 2014 | 12 | |
| 15 | 2016 | 11 | |
| 16 | A Flexible Platform for Knowledge Discovery Experiments: YALE - Yet Another Learning Environment | 2003 | 8 |
| 17 | 2020 | 6 | |
| 18 | 2021 | 5 | |
| 19 | Predicting Phases in Business Cycles Under Concept Drift | 2003 | 4 |
| 20 | 1998 | 3 |
About Ralf Klinkenberg
Ralf Klinkenberg is a scholar working on Artificial Intelligence, Management Science and Operations Research, Information Systems, Computer Networks and Communications and General Health Professions, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Data Stream Mining Techniques (10 papers), Machine Learning and Data Classification (6 papers), Advanced Bandit Algorithms Research (4 papers), Hermeneutics and Narrative Identity (2 papers), Spam and Phishing Detection (2 papers), Health, Medicine and Society (2 papers), Fault Detection and Control Systems (2 papers) and Aging, Elder Care, and Social Issues (2 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Signal Processing (232 citations), Management Science and Operations Research (194 citations), Information Systems (318 citations) and Computer Science Applications (68 citations). Ralf Klinkenberg has collaborated with scholars based in Germany, Greece and Australia. Frequent co-authors include Martin Scholz, Ingo Mierswa, Thorsten Joachims, Michael Wurst, Stefan Rüping, Simon Fischer, Jesús S. Aguilar–Ruiz, João Gama, Jochen Deuse and Robert S. Wallis. Their work appears in journals such as Intelligent Data Analysis, SHILAP Revista de lepidopterología, Technische Universität Dortmund Eldorado (Technische Universität Dortmund), 2021 IEEE International Conference on Big Data (Big Data) and LWA.
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.