Maik Anderka

About

Maik Anderka is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Maik Anderka has authored 3 papers receiving a total of 45 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Information Systems. Recurrent topics in Maik Anderka’s work include Topic Modeling (2 papers), Authorship Attribution and Profiling (1 paper) and Imbalanced Data Classification Techniques (1 paper). Maik Anderka is often cited by papers focused on Topic Modeling (2 papers), Authorship Attribution and Profiling (1 paper) and Imbalanced Data Classification Techniques (1 paper). Maik Anderka collaborates with scholars based in Germany. Maik Anderka's co-authors include Nedim Lipka and Benno Stein and has published in prestigious journals such as Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval and CLEF (Working Notes).

In The Last Decade

Co-authorship network of co-authors of Maik Anderka i

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Fields of papers citing papers by Maik Anderka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maik Anderka

Since Specialization

Citations

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