Dasha Bogdanova
- Artificial Intelligence top 5%
- Information Systems top 5%
- Sociology and Political Science
- Computer Vision and Pattern Recognition
- Social Psychology
- Co-authors
- Jennifer FosterCícero dos SantosLuciano BarbosaBianca ZadroznyPaolo RossoThamar SolorioSantiago CortésJoachim Wagner
- Topics
- Natural Language Processing Techniques (6 papers)Authorship Attribution and Profiling (5 papers)Topic Modeling (5 papers)
- Journals
- Language Resources and EvaluationComputer Speech & LanguageMeeting of the Association for Computational Linguistics
- Partner nations
- IrelandSpainUnited States
In The Last Decade
Dasha Bogdanova
10 papers receiving 335 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 345
- Information Systems 136
- Sociology and Political Science 33
- Computer Vision and Pattern Recognition 19
- Social Psychology 11
Countries citing papers authored by Dasha Bogdanova
This map shows the geographic impact of Dasha Bogdanova'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 Dasha Bogdanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dasha Bogdanova more than expected).
Fields of papers citing papers by Dasha Bogdanova
This network shows the impact of papers produced by Dasha Bogdanova. 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 Dasha Bogdanova. The network helps show where Dasha Bogdanova may publish in the future.
Co-authorship network of co-authors of Dasha Bogdanova
This figure shows the co-authorship network connecting the top 25 collaborators of Dasha Bogdanova. A scholar is included among the top collaborators of Dasha Bogdanova 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 Dasha Bogdanova. Dasha Bogdanova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 12 | |
| 3 | 43 | |
| 4 | 61 | |
| 5 | Cross-Language Authorship Attribution | 15 |
| 6 | 161 | |
| 7 | 39 | |
| 8 | On the Impact of Sentiment and Emotion Based Features in Detecting Online Sexual Predators | 20 |
| 9 | Modelling Fixated Discourse in Chats with Cyberpedophiles | 16 |
| 10 | Extraction of High-Level Semantically Rich Features from Natural Language Text. | 1 |
About Dasha Bogdanova
Dasha Bogdanova is a scholar working on Artificial Intelligence, Information Systems and Communication, having authored 10 papers that have together received 373 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Authorship Attribution and Profiling (5 papers) and Topic Modeling (5 papers). The work is most often cited by research in Artificial Intelligence (345 citations), Information Systems (136 citations) and Computer Science Applications (6 citations). Dasha Bogdanova has collaborated with scholars based in Ireland, Spain and United States. Frequent co-authors include Jennifer Foster, Cícero dos Santos, Luciano Barbosa, Bianca Zadrozny, Paolo Rosso, Thamar Solorio, Santiago Cortés, Joachim Wagner, Piyush Arora and Lamia Tounsi. Their work appears in journals such as Language Resources and Evaluation, Computer Speech & Language and Meeting of the Association for Computational Linguistics.
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.