Nina Tahmasebi

20 papers and 226 indexed citations i.

About

Nina Tahmasebi is a scholar working on Artificial Intelligence, Cultural Studies and Molecular Biology. According to data from OpenAlex, Nina Tahmasebi has authored 20 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 6 papers in Cultural Studies and 1 paper in Molecular Biology. Recurrent topics in Nina Tahmasebi’s work include Natural Language Processing Techniques (14 papers), Topic Modeling (10 papers) and Advanced Text Analysis Techniques (8 papers). Nina Tahmasebi is often cited by papers focused on Natural Language Processing Techniques (14 papers), Topic Modeling (10 papers) and Advanced Text Analysis Techniques (8 papers). Nina Tahmasebi collaborates with scholars based in Sweden, Germany and Denmark. Nina Tahmasebi's co-authors include Mikael Kågebäck, Devdatt Dubhashi, Olof Mogren, Simon Hengchen, Barbara McGillivray, Haim Dubossarsky, Dominik Schlechtweg, Thomas Risse, Lars Borin and Adam Jatowt and has published in prestigious journals such as Multimedia Tools and Applications, Language Resources and Evaluation and Nature Reviews Methods Primers.

In The Last Decade

Co-authorship network of co-authors of Nina Tahmasebi i

Fields of papers citing papers by Nina Tahmasebi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nina Tahmasebi

Since Specialization
Citations

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