Ciprian Chelba

37 papers and 1.1k indexed citations i.

About

Ciprian Chelba is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ciprian Chelba has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 11 papers in Signal Processing and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ciprian Chelba’s work include Natural Language Processing Techniques (26 papers), Speech Recognition and Synthesis (26 papers) and Topic Modeling (22 papers). Ciprian Chelba is often cited by papers focused on Natural Language Processing Techniques (26 papers), Speech Recognition and Synthesis (26 papers) and Topic Modeling (22 papers). Ciprian Chelba collaborates with scholars based in United States, Belgium and United Kingdom. Ciprian Chelba's co-authors include Frederick Jelinek, Alex Acero, Thorsten Brants, Tomáš Mikolov, Mike Schuster, Tony Robinson, Murat Saraçlar, Timothy J. Hazen, Peng Xu and M. Mahajan and has published in prestigious journals such as IEEE Signal Processing Magazine, IEEE Transactions on Audio Speech and Language Processing and IEEE Transactions on Speech and Audio Processing.

In The Last Decade

Co-authorship network of co-authors of Ciprian Chelba i

Fields of papers citing papers by Ciprian Chelba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ciprian Chelba

Since Specialization
Citations

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