Mihaela Vela

10 papers and 102 indexed citations i.

About

Mihaela Vela is a scholar working on Artificial Intelligence, Political Science and International Relations and Experimental and Cognitive Psychology. According to data from OpenAlex, Mihaela Vela has authored 10 papers receiving a total of 102 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 1 paper in Political Science and International Relations and 1 paper in Experimental and Cognitive Psychology. Recurrent topics in Mihaela Vela’s work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Semantic Web and Ontologies (3 papers). Mihaela Vela is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Semantic Web and Ontologies (3 papers). Mihaela Vela collaborates with scholars based in Germany, United Kingdom and India. Mihaela Vela's co-authors include Josef van Genabith, Marcos Zampieri, Artuur Leeuwenberg, Santanu Pal, Sudip Kumar Naskar, Antonio Krüger, Qun Liu, Tapas Nayak, Jörg Bollmann and Philip Quinn and has published in prestigious journals such as Language Resources and Evaluation, Machine Translation and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Mihaela Vela i

Fields of papers citing papers by Mihaela Vela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mihaela Vela

Since Specialization
Citations

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