Alan Akbik

25 papers and 538 indexed citations i.

About

Alan Akbik is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Alan Akbik has authored 25 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 5 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in Alan Akbik’s work include Topic Modeling (21 papers), Natural Language Processing Techniques (19 papers) and Semantic Web and Ontologies (7 papers). Alan Akbik is often cited by papers focused on Topic Modeling (21 papers), Natural Language Processing Techniques (19 papers) and Semantic Web and Ontologies (7 papers). Alan Akbik collaborates with scholars based in Germany, United States and India. Alan Akbik's co-authors include Roland Vollgraf, Duncan A. J. Blythe, Alexander Löser, Leon Weber, Jannes Münchmeyer, Maryam Habibi, Mario Sänger, Ulf Leser, Yunyao Li and Josip Krapac and has published in prestigious journals such as Bioinformatics, Language Resources and Evaluation and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Alan Akbik i

Fields of papers citing papers by Alan Akbik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alan Akbik

Since Specialization
Citations

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