Elke Achtert

1.0k total citations
15 papers, 394 citations indexed

About

Elke Achtert is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Elke Achtert has authored 15 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Signal Processing, 11 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Elke Achtert's work include Data Management and Algorithms (12 papers), Advanced Clustering Algorithms Research (9 papers) and Automated Road and Building Extraction (4 papers). Elke Achtert is often cited by papers focused on Data Management and Algorithms (12 papers), Advanced Clustering Algorithms Research (9 papers) and Automated Road and Building Extraction (4 papers). Elke Achtert collaborates with scholars based in Germany. Elke Achtert's co-authors include Peer Kröger, Arthur Zimek, Christian Böhm, Hans‐Peter Kriegel, Matthias Renz, Erich Schubert, Alexey Pryakhin, Peter Kunath, Andreas Züfle and H.-P. Kriegel and has published in prestigious journals such as Statistical Analysis and Data Mining The ASA Data Science Journal.

In The Last Decade

Elke Achtert

14 papers receiving 377 citations

Peers

Elke Achtert
Arnold P. Boedihardjo United States
Jeffrey Jestes United States
Wai-Shing Ho Hong Kong
Dragomir Yankov United States
Luyi Bai China
Cheng Sheng Hong Kong
Junhao Gan Australia
Yuni Xia United States
Arnold P. Boedihardjo United States
Elke Achtert
Citations per year, relative to Elke Achtert Elke Achtert (= 1×) peers Arnold P. Boedihardjo

Countries citing papers authored by Elke Achtert

Since Specialization
Citations

This map shows the geographic impact of Elke Achtert'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 Elke Achtert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elke Achtert more than expected).

Fields of papers citing papers by Elke Achtert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elke Achtert. 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 Elke Achtert. The network helps show where Elke Achtert may publish in the future.

Co-authorship network of co-authors of Elke Achtert

This figure shows the co-authorship network connecting the top 25 collaborators of Elke Achtert. A scholar is included among the top collaborators of Elke Achtert 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 Elke Achtert. Elke Achtert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Achtert, Elke, Hans‐Peter Kriegel, Erich Schubert, & Arthur Zimek. (2013). Interactive data mining with 3D-parallel-coordinate-trees. 1009–1012. 46 indexed citations
2.
Achtert, Elke, et al.. (2012). Evaluation of Clusterings -- Metrics and Visual Support. 1285–1288. 52 indexed citations
3.
Achtert, Elke, Hans‐Peter Kriegel, Peer Kröger, Matthias Renz, & Andreas Züfle. (2009). Reverse k-nearest neighbor search in dynamic and general metric databases. 886–897. 43 indexed citations
4.
Achtert, Elke, et al.. (2008). Global Correlation Clustering Based on the Hough Transform. Statistical Analysis and Data Mining The ASA Data Science Journal. 1(3). 111–127. 17 indexed citations
5.
Achtert, Elke, et al.. (2008). Robust Clustering in Arbitrarily Oriented Subspaces. 763–774. 12 indexed citations
6.
Achtert, Elke, Christian Böhm, Hans‐Peter Kriegel, Peer Kröger, & Arthur Zimek. (2007). On Exploring Complex Relationships of Correlation Clusters. 7–7. 31 indexed citations
7.
Achtert, Elke, Christian Böhm, Hans‐Peter Kriegel, Peer Kröger, & Arthur Zimek. (2007). Robust, Complete, and Efficient Correlation Clustering. 413–418. 33 indexed citations
8.
Achtert, Elke, Christian Böhm, Peer Kröger, et al.. (2007). Efficient reverse k-nearest neighbor estimation. 21(3-4). 179–195. 12 indexed citations
9.
Achtert, Elke, et al.. (2006). Clustering Multi-Represented Objects Using Combination Trees.
10.
Achtert, Elke, Christian Böhm, Peer Kröger, & Arthur Zimek. (2006). Mining Hierarchies of Correlation Clusters. 119–128. 22 indexed citations
11.
Achtert, Elke, Christian Böhm, Peer Kröger, et al.. (2006). Approximate reverse k-nearest neighbor queries in general metric spaces. 788–788. 6 indexed citations
12.
Achtert, Elke, Christian Böhm, Peer Kröger, et al.. (2006). Efficient reverse k-nearest neighbor search in arbitrary metric spaces. 515–526. 86 indexed citations
13.
Achtert, Elke, Christian Böhm, Hans‐Peter Kriegel, Peer Kröger, & Arthur Zimek. (2006). Deriving quantitative models for correlation clusters. 4–13. 17 indexed citations
14.
Achtert, Elke, Christian Böhm, H.-P. Kriegel, & Peer Kröger. (2006). Online Hierarchical Clustering in a Data Warehouse Environment. 12 indexed citations
15.
Achtert, Elke, Hans‐Peter Kriegel, Alexey Pryakhin, & Matthias Schubert. (2005). Hierarchical Density-Based Clustering for Multi-Represented Objects. 5 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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