Emanuela Boroş
- Artificial Intelligence
- Information Systems
- Computer Vision and Pattern Recognition
- Literature and Literary Theory
- Management Science and Operations Research
- Co-authors
- Antoine DoucetJosé G. MorenoAhmed HamdiElvys Linhares PontesAdrian IfteneHannu ToivonenJani MarjanenMikko Tolonen
- Topics
- Topic Modeling (14 papers)Natural Language Processing Techniques (12 papers)Advanced Text Analysis Techniques (4 papers)
- Journals
- Journal of the Association for Information Science and TechnologyInternational Journal on Digital LibrariesHAL (Le Centre pour la Communication Scientifique Directe)
In The Last Decade
Emanuela Boroş
19 papers receiving 105 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 85
- Information Systems 23
- Computer Vision and Pattern Recognition 21
- Literature and Literary Theory 9
- Management Science and Operations Research 9
Countries citing papers authored by Emanuela Boroş
This map shows the geographic impact of Emanuela Boroş'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 Emanuela Boroş with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emanuela Boroş more than expected).
Fields of papers citing papers by Emanuela Boroş
This network shows the impact of papers produced by Emanuela Boroş. 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 Emanuela Boroş. The network helps show where Emanuela Boroş may publish in the future.
Co-authorship network of co-authors of Emanuela Boroş
This figure shows the co-authorship network connecting the top 25 collaborators of Emanuela Boroş. A scholar is included among the top collaborators of Emanuela Boroş 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 Emanuela Boroş. Emanuela Boroş is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 16 | |
| 9 | 22 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 12 | |
| 13 | 8 | |
| 14 | Étiquetage en rôles événementiels fondé sur l'utilisation d'un modèle neuronal | 1 |
| 15 | 9 | |
| 16 | UAIC participation at Robot Vision @ 2012 An updated vision | 3 |
| 17 | Enhancing a Question Answering System with Textual Entailment for Machine Reading Evaluation. | 4 |
| 18 | Sentimatrix -- Multilingual Sentiment Analysis Service | 13 |
| 19 | Adapting Statistical Language Identification Methods for Short Queries. | 1 |
| 20 | UAIC's Participation at Wikipedia Retrieval @ ImageCLEF 2011. | 1 |
About Emanuela Boroş
Emanuela Boroş is a scholar working on Health Informatics, Artificial Intelligence and Conservation, having authored 20 papers that have together received 119 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (12 papers) and Advanced Text Analysis Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (85 citations), General Social Sciences (5 citations) and Health Informatics (2 citations). Emanuela Boroş has collaborated with scholars based in France, Romania and Finland. Frequent co-authors include Antoine Doucet, José G. Moreno, Ahmed Hamdi, Elvys Linhares Pontes, Adrian Iftene, Hannu Toivonen, Jani Marjanen, Mikko Tolonen, Marius Corici and Olivier Ferret. Their work appears in journals such as Journal of the Association for Information Science and Technology, International Journal on Digital Libraries and HAL (Le Centre pour la Communication Scientifique Directe).
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.