Hardy Kremer

673 total citations
19 papers, 345 citations indexed

About

Hardy Kremer is a scholar working on Signal Processing, Artificial Intelligence and Information Systems. According to data from OpenAlex, Hardy Kremer has authored 19 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Signal Processing, 12 papers in Artificial Intelligence and 8 papers in Information Systems. Recurrent topics in Hardy Kremer's work include Data Mining Algorithms and Applications (8 papers), Time Series Analysis and Forecasting (7 papers) and Data Management and Algorithms (7 papers). Hardy Kremer is often cited by papers focused on Data Mining Algorithms and Applications (8 papers), Time Series Analysis and Forecasting (7 papers) and Data Management and Algorithms (7 papers). Hardy Kremer collaborates with scholars based in Germany, Denmark and New Zealand. Hardy Kremer's co-authors include Thomas Seidl, Geoffrey Holmes, Timm Jansen, Albert Bifet, Bernhard Pfahringer, Philipp Kranen, Stephan Günnemann, Ira Assent, Ralph Krieger and Julien Bert and has published in prestigious journals such as Proceedings of the VLDB Endowment, Data Mining and Knowledge Discovery and Research Commons (University of Waikato).

In The Last Decade

Hardy Kremer

17 papers receiving 312 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hardy Kremer Germany	9	264	164	59	46	33	19	345
Arnold P. Boedihardjo United States	11	213 0.8×	167 1.0×	49 0.8×	82 1.8×	70 2.1×	46	377
Chi Chen China	9	92 0.3×	72 0.4×	86 1.5×	115 2.5×	29 0.9×	28	268
Elias Frentzos Greece	10	118 0.4×	431 2.6×	63 1.1×	166 3.6×	53 1.6×	15	497
Wenjuan Lian China	9	109 0.4×	62 0.4×	89 1.5×	135 2.9×	20 0.6×	24	249
Lyudmyla Kirichenko Ukraine	10	123 0.5×	61 0.4×	30 0.5×	127 2.8×	31 0.9×	41	279
Bowei Xi United States	10	186 0.7×	100 0.6×	46 0.8×	118 2.6×	25 0.8×	20	285
Dragomir Yankov United States	10	235 0.9×	231 1.4×	43 0.7×	62 1.3×	104 3.2×	27	398
Dragos D. Margineantu United States	6	404 1.5×	38 0.2×	72 1.2×	26 0.6×	136 4.1×	12	510
Jürgen Beringer Germany	5	265 1.0×	98 0.6×	30 0.5×	30 0.7×	76 2.3×	5	308
Vasundhara Puttagunta United States	5	146 0.6×	213 1.3×	27 0.5×	44 1.0×	26 0.8×	5	308

Countries citing papers authored by Hardy Kremer

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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19 of 19 papers shown

Kremer, Hardy, et al.. (2013). An Evaluation Framework for Temporal Subspace Clustering Approaches. 24. 1089–1092.

Kremer, Hardy, et al.. (2013). Nesting the earth mover's distance for effective cluster tracing. 1–4. 1 indexed citations

Kremer, Hardy, et al.. (2012). Effective and Robust Mining of Temporal Subspace Clusters. 17. 369–378. 3 indexed citations

Günnemann, Stephan, et al.. (2012). A Subspace Clustering Extension for the KNIME Data Mining Framework. 3. 886–889. 2 indexed citations

Günnemann, Stephan, et al.. (2011). Subspace clustering for indexing high dimensional data. 237–248. 8 indexed citations

Günnemann, Stephan, Hardy Kremer, & Thomas Seidl. (2011). An extension of the PMML standard to subspace clustering models. 48–53. 3 indexed citations

Kremer, Hardy, Philipp Kranen, Timm Jansen, et al.. (2011). An effective evaluation measure for clustering on evolving data streams. 868–876. 56 indexed citations

Günnemann, Stephan, Hardy Kremer, Charlotte Laufkötter, & Thomas Seidl. (2011). Tracing Evolving Subspace Clusters in Temporal Climate Data. Data Mining and Knowledge Discovery. 24(2). 387–410. 12 indexed citations

Kremer, Hardy, Timm Jansen, Thomas Seidl, et al.. (2010). Benchmarking Stream Clustering Algorithms within the MOA Framework. RWTH Publications (RWTH Aachen). 2 indexed citations

10.

Bifet, Albert, Geoffrey Holmes, Bernhard Pfahringer, et al.. (2010). MOA: Massive Online Analysis, a framework for stream classification and clustering.. RWTH Publications (RWTH Aachen). 44–50. 135 indexed citations

11.

Assent, Ira, Hardy Kremer, Stephan Günnemann, & Thomas Seidl. (2010). Pattern detector. 709–712. 4 indexed citations

12.

Günnemann, Stephan, Hardy Kremer, & Thomas Seidl. (2010). Subspace Clustering for Uncertain Data. 385–396. 20 indexed citations

13.

Kranen, Philipp, Hardy Kremer, Timm Jansen, et al.. (2010). Clustering Performance on Evolving Data Streams: Assessing Algorithms and Evaluation Measures within MOA. Research Commons (University of Waikato). 1400–1403. 14 indexed citations

14.

Kremer, Hardy, Stephan Günnemann, & Thomas Seidl. (2010). Detecting Climate Change in Multivariate Time Series Data by Novel Clustering and Cluster Tracing Techniques. 96–97. 14 indexed citations

15.

Günnemann, Stephan, Hardy Kremer, Ines Färber, & Thomas Seidl. (2010). MCExplorer: Interactive Exploration of Multiple (Subspace) Clustering Solutions. 3. 1387–1390. 4 indexed citations

16.

Günnemann, Stephan, Ines Färber, Hardy Kremer, & Thomas Seidl. (2010). CoDA. Proceedings of the VLDB Endowment. 3(1-2). 1633–1636. 4 indexed citations

17.

Assent, Ira, Stephan Günnemann, Hardy Kremer, & Thomas Seidl. (2009). High-dimensional Indexing for Multimedia Features. RWTH Publications (RWTH Aachen). 187–206. 1 indexed citations

18.

Assent, Ira, et al.. (2009). Anticipatory DTW for efficient similarity search in time series databases. Proceedings of the VLDB Endowment. 2(1). 826–837. 46 indexed citations

19.

Bert, Julien, Hardy Kremer, & H.A.P. Blom. (2001). Geometric and probabilistic approaches towards Conflict Prediction. 16 indexed citations

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.

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