Maximilian Eibl

43 papers and 449 indexed citations i.

About

Maximilian Eibl is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Maximilian Eibl has authored 43 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Maximilian Eibl’s work include Natural Language Processing Techniques (12 papers), Semantic Web and Ontologies (8 papers) and Topic Modeling (7 papers). Maximilian Eibl is often cited by papers focused on Natural Language Processing Techniques (12 papers), Semantic Web and Ontologies (8 papers) and Topic Modeling (7 papers). Maximilian Eibl collaborates with scholars based in Germany and United States. Maximilian Eibl's co-authors include Stefan Kahl, Holger Klinck, Connor M. Wood, John L. Spouge, Michael Schreckenberg, E.M. Hendriks, Danny Kowerko, Günter Daniel Rey, Harald Reiterer and Hussein Hussein and has published in prestigious journals such as Zeitschrift für Physik B Condensed Matter, Ecological Informatics and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Maximilian Eibl i

Fields of papers citing papers by Maximilian Eibl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maximilian Eibl

Since Specialization
Citations

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