Cvetana Krstev
- Artificial Intelligence top 10%
- Information Systems top 10%
- Language and Linguistics top 10%
- Molecular Biology
- Social Psychology
- Co-authors
- Ranka StankovićJelena MitrovićTomaž ErjavecKiril SimovDrago JelovacMarko TadićJelena JaćimovićDenis Maurel
- Topics
- Natural Language Processing Techniques (24 papers)Topic Modeling (10 papers)Lexicography and Language Studies (9 papers)
- Journals
- Language Resources and EvaluationThe Journal of Academic LibrarianshipNatural Language Engineering
- Partner nations
- SerbiaUnited KingdomIsrael
In The Last Decade
Cvetana Krstev
38 papers receiving 190 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 166
- Information Systems 47
- Language and Linguistics 43
- Molecular Biology 16
- Social Psychology 10
Countries citing papers authored by Cvetana Krstev
This map shows the geographic impact of Cvetana Krstev'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 Cvetana Krstev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cvetana Krstev more than expected).
Fields of papers citing papers by Cvetana Krstev
This network shows the impact of papers produced by Cvetana Krstev. 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 Cvetana Krstev. The network helps show where Cvetana Krstev may publish in the future.
Co-authorship network of co-authors of Cvetana Krstev
This figure shows the co-authorship network connecting the top 25 collaborators of Cvetana Krstev. A scholar is included among the top collaborators of Cvetana Krstev based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cvetana Krstev. Cvetana Krstev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | Machine Learning and Deep Neural Network-Based Lemmatization and Morphosyntactic Tagging for Serbian | 6 |
| 6 | 3 | |
| 7 | Using English Baits to Catch Serbian Multi-Word Terminology | 3 |
| 8 | 3 | |
| 9 | 31 | |
| 10 | Terminology acquisition and description using lexical resources and local grammars | 3 |
| 11 | 3 | |
| 12 | 21 | |
| 13 | Derivational Morphology in E-Dictionaries of Serbian * | 1 |
| 14 | A tool for enhanced search of multilingual digital libraries of e-journals | 5 |
| 15 | E-Dictionaries and Finite-State Automata for the Recognition of Named Entities | 4 |
| 16 | Serbian Wordnet for biomedical sciences | 1 |
| 17 | WS4LR: A Workstation for Lexical Resources | 4 |
| 18 | Morpho-Syntactic Descriptions in MULTEXT-East. The Case of Serbian | 3 |
| 19 | 6 | |
| 20 | Using Textual and Lexical Resources in Developing Serbian Wordnet | 14 |
About Cvetana Krstev
Cvetana Krstev is a scholar working on Language and Linguistics, Artificial Intelligence and Information Systems, having authored 40 papers that have together received 218 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (24 papers), Topic Modeling (10 papers) and Lexicography and Language Studies (9 papers). The work is most often cited by research in Artificial Intelligence (166 citations), Language and Linguistics (43 citations) and Information Systems (47 citations). Cvetana Krstev has collaborated with scholars based in Serbia, United Kingdom and Israel. Frequent co-authors include Ranka Stanković, Jelena Mitrović, Tomaž Erjavec, Kiril Simov, Drago Jelovac, Marko Tadić, Jelena Jaćimović, Denis Maurel, Agata Savary and J. Berenike Herrmann. Their work appears in journals such as Language Resources and Evaluation, The Journal of Academic Librarianship and Natural Language Engineering.
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.