Camelia Ignat

8 papers and 216 indexed citations i.

About

Camelia Ignat is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Camelia Ignat has authored 8 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Sociology and Political Science. Recurrent topics in Camelia Ignat’s work include Natural Language Processing Techniques (5 papers), Topic Modeling (3 papers) and Semantic Web and Ontologies (2 papers). Camelia Ignat is often cited by papers focused on Natural Language Processing Techniques (5 papers), Topic Modeling (3 papers) and Semantic Web and Ontologies (2 papers). Camelia Ignat collaborates with scholars based in Italy, United States and Cuba. Camelia Ignat's co-authors include Bruno Pouliquen, Ralf Steinberger, Tomaž Erjavec, Dan Tufiş, Dániel Varga, Emilia Käsper, Wajdi Zaghouani, Jenya Belyaeva, Erik van der Goot and Mijail Kabadjov and has published in prestigious journals such as Language Resources and Evaluation, Archivos Argentinos de Pediatria and Journal of Computing and Information Technology.

In The Last Decade

Co-authorship network of co-authors of Camelia Ignat i

Fields of papers citing papers by Camelia Ignat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Camelia Ignat

Since Specialization
Citations

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