Philipp Kranen
Impact in
- Signal Processing top 5%
- Time Series Analysis and Forecasting
- Data Management and Algorithms
- Artificial Intelligence top 5%
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
- Advanced Clustering Algorithms Research
- Machine Learning and Data Classification
Papers in
-
- Data Stream Mining Techniques 13
- Anomaly Detection Techniques and Applications 7
- Advanced Clustering Algorithms Research 3
- Machine Learning and Data Classification 3
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- Time Series Analysis and Forecasting 6
- Data Management and Algorithms 5
- Co-authors
- Thomas Seidl (16 shared papers)Ira Assent (6 shared papers)Bernhard Pfahringer (3 shared papers)Hardy Kremer (3 shared papers)Timm Jansen (3 shared papers)Geoffrey Holmes (3 shared papers)Albert Bifet (3 shared papers)Marwan Hassani (2 shared papers)
- Journals
- Data Mining and Knowledge Discovery (1 paper)Knowledge and Information Systems (1 paper)Datenbank-Spektrum (1 paper)RWTH Publications (RWTH Aachen) (2 papers)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (1 paper)
- Partner nations
- GermanyDenmarkNew Zealand
In The Last Decade
Philipp Kranen
15 papers receiving 490 citations
Peers
Comparison fields: 5 of 51
- Signal Processing 237
- Artificial Intelligence 437
- Computer Networks and Communications 101
- Information Systems 79
- Computer Vision and Pattern Recognition 68
Countries citing papers authored by Philipp Kranen
This map shows the geographic impact of Philipp Kranen'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 Philipp Kranen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Kranen more than expected).
Fields of papers citing papers by Philipp Kranen
This network shows the impact of papers produced by Philipp Kranen. 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 Philipp Kranen. The network helps show where Philipp Kranen may publish in the future.
Co-authors
The 15 scholars most cited alongside Philipp Kranen, 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 | 2010 | 166 | |
| 2 | MOA: Massive Online Analysis, a framework for stream classification and clustering. | 2010 | 135 |
| 3 | 2011 | 56 | |
| 4 | 2009 | 43 | |
| 5 | 2008 | 38 | |
| 6 | 2009 | 25 | |
| 7 | 2014 | 14 | |
| 8 | 2010 | 14 | |
| 9 | 2009 | 12 | |
| 10 | 2011 | 12 | |
| 11 | 2008 | 8 | |
| 12 | 2010 | 3 | |
| 13 | Anytime algorithms for stream data mining | 2011 | 3 |
| 14 | Using Index Structures for Anytime Stream Mining | 2009 | 2 |
| 15 | 2014 | 1 | |
| 16 | 2012 | 0 |
About Philipp Kranen
Philipp Kranen is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Vision and Pattern Recognition and Surgery, having authored 16 papers that have together received 532 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (13 papers), Anomaly Detection Techniques and Applications (7 papers), Time Series Analysis and Forecasting (6 papers), Data Management and Algorithms (5 papers), Advanced Clustering Algorithms Research (3 papers), Data Mining Algorithms and Applications (3 papers), Machine Learning and Data Classification (3 papers) and Healthcare Technology and Patient Monitoring (1 paper). The work is most often cited by research in Signal Processing (237 citations), Artificial Intelligence (437 citations), Computer Networks and Communications (101 citations), Information Systems (79 citations) and Computer Vision and Pattern Recognition (68 citations). Philipp Kranen has collaborated with scholars based in Germany, Denmark and New Zealand. Frequent co-authors include Thomas Seidl, Ira Assent, Bernhard Pfahringer, Hardy Kremer, Timm Jansen, Geoffrey Holmes, Albert Bifet, Marwan Hassani, Jennifer Herrmann and Ralph Krieger. Their work appears in journals such as Data Mining and Knowledge Discovery, Knowledge and Information Systems, Datenbank-Spektrum, RWTH Publications (RWTH Aachen) and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
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.