Hardy Kremer
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Information Systems top 10%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Co-authors
- Thomas SeidlTimm JansenAlbert BifetGeoffrey HolmesBernhard PfahringerPhilipp KranenStephan GünnemannIra Assent
- Topics
- Data Mining Algorithms and Applications (8 papers)Time Series Analysis and Forecasting (7 papers)Data Management and Algorithms (7 papers)
- Journals
- Proceedings of the VLDB EndowmentData Mining and Knowledge DiscoveryResearch Commons (University of Waikato)
- Partner nations
- GermanyDenmarkNew Zealand
In The Last Decade
Hardy Kremer
17 papers receiving 312 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 264
- Signal Processing 164
- Information Systems 59
- Computer Networks and Communications 46
- Computer Vision and Pattern Recognition 33
Countries citing papers authored by Hardy Kremer
This map shows the geographic impact of Hardy Kremer'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 Hardy Kremer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hardy Kremer more than expected).
Fields of papers citing papers by Hardy Kremer
This network shows the impact of papers produced by Hardy Kremer. 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 Hardy Kremer. The network helps show where Hardy Kremer may publish in the future.
Co-authorship network of co-authors of Hardy Kremer
This figure shows the co-authorship network connecting the top 25 collaborators of Hardy Kremer. A scholar is included among the top collaborators of Hardy Kremer 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 Hardy Kremer. Hardy Kremer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 56 | |
| 7 | 3 | |
| 8 | 12 | |
| 9 | Benchmarking Stream Clustering Algorithms within the MOA Framework | 2 |
| 10 | MOA: Massive Online Analysis, a framework for stream classification and clustering. | 135 |
| 11 | 4 | |
| 12 | 20 | |
| 13 | 14 | |
| 14 | 14 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | High-dimensional Indexing for Multimedia Features | 1 |
| 18 | 46 | |
| 19 | Geometric and probabilistic approaches towards Conflict Prediction | 16 |
About Hardy Kremer
Hardy Kremer is a scholar working on Signal Processing, Artificial Intelligence and Information Systems, having authored 19 papers that have together received 345 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (8 papers), Time Series Analysis and Forecasting (7 papers) and Data Management and Algorithms (7 papers). The work is most often cited by research in Signal Processing (164 citations), Artificial Intelligence (264 citations) and Information Systems (59 citations). Hardy Kremer has collaborated with scholars based in Germany, Denmark and New Zealand. Frequent co-authors include Thomas Seidl, Timm Jansen, Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Philipp Kranen, Stephan Günnemann, Ira Assent, Ralph Krieger and Julien Bert. Their work appears in journals such as Proceedings of the VLDB Endowment, Data Mining and Knowledge Discovery and Research Commons (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.