Mihael Ankerst

10 papers and 2.3k indexed citations i.

About

Mihael Ankerst is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Mihael Ankerst has authored 10 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Signal Processing and 4 papers in Artificial Intelligence. Recurrent topics in Mihael Ankerst’s work include Data Management and Algorithms (6 papers), Data Visualization and Analytics (4 papers) and Image Retrieval and Classification Techniques (3 papers). Mihael Ankerst is often cited by papers focused on Data Management and Algorithms (6 papers), Data Visualization and Analytics (4 papers) and Image Retrieval and Classification Techniques (3 papers). Mihael Ankerst collaborates with scholars based in Germany and United States. Mihael Ankerst's co-authors include Hans‐Peter Kriegel, Markus Breunig, Jörg Sander, Daniel A. Keim, H.-P. Kriegel, Stefan Berchtold, Martin Ester, Thomas Seidl, Gabi Kastenmüller and Bernhard Braunmüller and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, ACM SIGMOD Record and KOPS (University of Konstanz).

In The Last Decade

Co-authorship network of co-authors of Mihael Ankerst i

Fields of papers citing papers by Mihael Ankerst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Mihael Ankerst

Since Specialization
Citations

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).

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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