Parnia Bahar

12 papers and 199 indexed citations i.

About

Parnia Bahar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Parnia Bahar has authored 12 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Parnia Bahar’s work include Natural Language Processing Techniques (9 papers), Topic Modeling (8 papers) and Speech Recognition and Synthesis (5 papers). Parnia Bahar is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (8 papers) and Speech Recognition and Synthesis (5 papers). Parnia Bahar collaborates with scholars based in Germany. Parnia Bahar's co-authors include Hermann Ney, Ralf Schlüter, Albert Zeyer, Kazuki Irie, Jan-Thorsten Peter and Tamer Alkhouli and has published in prestigious journals such as RWTH Publications (RWTH Aachen), arXiv (Cornell University) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Co-authorship network of co-authors of Parnia Bahar i

Fields of papers citing papers by Parnia Bahar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Parnia Bahar

Since Specialization
Citations

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