Anni Coden

14 papers and 337 indexed citations i.

About

Anni Coden is a scholar working on Artificial Intelligence, Molecular Biology and Signal Processing. According to data from OpenAlex, Anni Coden has authored 14 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Molecular Biology and 3 papers in Signal Processing. Recurrent topics in Anni Coden’s work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Biomedical Text Mining and Ontologies (4 papers). Anni Coden is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Biomedical Text Mining and Ontologies (4 papers). Anni Coden collaborates with scholars based in United States, Japan and United Kingdom. Anni Coden's co-authors include Michael Tanenblatt, Guergana Savova, Piet C. de Groen, Eric W. Brown, Wei Guan, D. James Cooper, James Masanz, Christopher G. Chute, Dragomir Radev and John Prager and has published in prestigious journals such as IBM Journal of Research and Development, Journal of Biomedical Informatics and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Anni Coden i

Fields of papers citing papers by Anni Coden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anni Coden

Since Specialization
Citations

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