Mark Cieliebak

39 papers and 454 indexed citations i.

About

Mark Cieliebak is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mark Cieliebak has authored 39 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mark Cieliebak’s work include Topic Modeling (19 papers), Natural Language Processing Techniques (16 papers) and Speech and dialogue systems (7 papers). Mark Cieliebak is often cited by papers focused on Topic Modeling (19 papers), Natural Language Processing Techniques (16 papers) and Speech and dialogue systems (7 papers). Mark Cieliebak collaborates with scholars based in Switzerland, Germany and Spain. Mark Cieliebak's co-authors include Jan Deriu, Eneko Agirre, Arantxa Otegi, Paola Flocchini, Nicola Santoro, Giuseppe Prencipe, Álvaro Rodrigo, Sophie Rosset, Martin Jaggi and Thomas Hofmann and has published in prestigious journals such as Journal of Proteome Research, SIAM Journal on Computing and Artificial Intelligence Review.

In The Last Decade

Co-authorship network of co-authors of Mark Cieliebak i

Fields of papers citing papers by Mark Cieliebak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mark Cieliebak

Since Specialization
Citations

This map shows the geographic impact of Mark Cieliebak'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 Mark Cieliebak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Cieliebak 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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2025