Mihael Ankerst
- Signal Processing top 0.2%
- Data Management and Algorithms 8
- Artificial Intelligence top 0.5%
- Data Stream Mining Techniques 2
- Advanced Clustering Algorithms Research 2
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- Data Visualization and Analytics 7
- Image Retrieval and Classification Techniques 4
- Advanced Image and Video Retrieval Techniques 2
- Transportation top 1%
- Information Systems top 1%
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- Advanced Database Systems and Queries 2
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- Cell Image Analysis Techniques 1
- Co-authors
- Hans‐Peter KriegelJörg SanderMarkus BreunigDaniel A. KeimMartin EsterStefan BerchtoldH.-P. KriegelThomas Seidl
- Journals
- ACM SIGMOD Record (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)KOPS (University of Konstanz) (1 paper)
- Partner nations
- GermanyAustraliaUnited States
In The Last Decade
Mihael Ankerst
14 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Signal Processing 1.5k
- Artificial Intelligence 2.2k
- Computer Vision and Pattern Recognition 1.3k
- Transportation 395
- Information Systems 745
Countries citing papers authored by Mihael Ankerst
This map shows the geographic impact of Mihael Ankerst'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 Mihael Ankerst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihael Ankerst more than expected).
Fields of papers citing papers by Mihael Ankerst
This network shows the impact of papers produced by Mihael Ankerst. 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 Mihael Ankerst. The network helps show where Mihael Ankerst may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Mihael Ankerst, 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 | Kooperatives Data Mining: Eine Integration von Data-Mining-Algorithmen und Visualisierungstechniken. | 2004 | 0 |
| 2 | DataJewel: Tightly integrating visualization with temporal data mining | 2003 | 4 |
| 3 | 2002 | 17 | |
| 4 | 2002 | 58 | |
| 5 | 2002 | 170 | |
| 6 | Visual Data Mining : Background, Techniques, and Drug Discovery Applications | 2002 | 8 |
| 7 | Human Involvement and Interactivity of the Next Generation’s Data Mining Tools | 2001 | 11 |
| 8 | 2000 | 116 | |
| 9 | Nearest neighbor classification in 3D protein databases. | 1999 | 86 |
| 10 | 1999 | 112 | |
| 11 | OPTICSbreakdown → | 1999 | 2532 |
| 12 | OPTICSbreakdown → | 1999 | 908 |
| 13 | Improving Adaptable Similarity Query Processing by Using Approximations | 1998 | 25 |
| 14 | 1998 | 26 | |
| 15 | 'Circle Segments': A Technique for Visually Exploring Large Multidimensional Data Sets | 1996 | 116 |
About Mihael Ankerst
Mihael Ankerst is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Biophysics, having authored 15 papers that have together received 4.2k indexed citations. Recurring topics across this work include Data Management and Algorithms (8 papers), Data Visualization and Analytics (7 papers), Image Retrieval and Classification Techniques (4 papers), Advanced Database Systems and Queries (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Data Stream Mining Techniques (2 papers), Advanced Clustering Algorithms Research (2 papers) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Signal Processing (1.5k citations), Artificial Intelligence (2.2k citations) and Computer Vision and Pattern Recognition (1.3k citations). Mihael Ankerst has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Hans‐Peter Kriegel, Jörg Sander, Markus Breunig, Daniel A. Keim, Martin Ester, Stefan Berchtold, H.-P. Kriegel, Thomas Seidl, Gabi Kastenmüller and Bernhard Braunmüller. Their work appears in journals such as ACM SIGMOD Record, IEEE Transactions on Knowledge and Data Engineering, KOPS (University of Konstanz), PubMed and ACM SIGKDD Explorations Newsletter.
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.