Elke Achtert

1.0k citations
15 papers · 394 indexed · h-index 12
Topics
Data Management and Algorithms (12 papers)Advanced Clustering Algorithms Research (9 papers)Automated Road and Building Extraction (4 papers)
Partner nations
Germany

In The Last Decade

Elke Achtert

14 papers receiving 377 citations

Peers

Elke Achtert
Comparison fields: 5 of 57
  • Signal Processing 227
  • Artificial Intelligence 216
  • Computer Vision and Pattern Recognition 127
  • Information Systems 84
  • Computer Networks and Communications 63
Replace Jeffrey Jestes with:
Jeffrey Jestes United States
Norio Katayama Japan
Bernd-Uwe Pagel Germany
Cheng Sheng Hong Kong
Arnold P. Boedihardjo United States
Yuni Xia United States
Jeffrey Considine United States
Wai-Shing Ho Hong Kong
Luyi Bai China
Dragomir Yankov United States
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Citations per field
00.5×1.6×
Jeffrey Jestes · 1×
Citations per year

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
#WorkIndexed citations
1 46
2 52
3 43
4 17
5 12
6 31
7 33
8 12
9
Clustering Multi-Represented Objects Using Combination Trees
0
10 22
11 6
12 86
13 17
14 12
15
Hierarchical Density-Based Clustering for Multi-Represented Objects
5

About Elke Achtert

Elke Achtert is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 15 papers that have together received 394 indexed citations. Recurring topics across this work include Data Management and Algorithms (12 papers), Advanced Clustering Algorithms Research (9 papers) and Automated Road and Building Extraction (4 papers). The work is most often cited by research in Signal Processing (227 citations), Geography, Planning and Development (49 citations) and Artificial Intelligence (216 citations). Elke Achtert has collaborated with scholars based in Germany. Frequent 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. Their work appears in journals such as Statistical Analysis and Data Mining The ASA Data Science Journal.

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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