Alina Trifan
- Applied Psychology top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Experimental and Cognitive Psychology
- Information Systems
- Co-authors
- José Luís OliveiraAntónio J. R. NevesLuís A. Bastião SilvaRicardo RibeiroRui Pedro LopesPaulo DiasRadek BukowskiBernardo Cunha
- Topics
- Mental Health via Writing (5 papers)Biomedical Text Mining and Ontologies (4 papers)Multimodal Machine Learning Applications (4 papers)
- Journals
- Applied SciencesComputer Methods and Programs in BiomedicineInternational Journal of Medical Informatics
- Partner nations
- PortugalNetherlandsUnited States
In The Last Decade
Alina Trifan
25 papers receiving 253 citations
Peers
Comparison fields: 5 of 84
- Applied Psychology 63
- Artificial Intelligence 62
- Computer Vision and Pattern Recognition 52
- Experimental and Cognitive Psychology 47
- Information Systems 35
Countries citing papers authored by Alina Trifan
This map shows the geographic impact of Alina Trifan'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 Alina Trifan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alina Trifan more than expected).
Fields of papers citing papers by Alina Trifan
This network shows the impact of papers produced by Alina Trifan. 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 Alina Trifan. The network helps show where Alina Trifan may publish in the future.
Co-authorship network of co-authors of Alina Trifan
This figure shows the co-authorship network connecting the top 25 collaborators of Alina Trifan. A scholar is included among the top collaborators of Alina Trifan 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 Alina Trifan. Alina Trifan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 19 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | VADER meets BERT: sentiment analysis for early detection of signs of self-harm through social mining. | 1 |
| 7 | 2 | |
| 8 | 19 | |
| 9 | BioInfo@UAVR at eRisk 2020: on the Use of Psycholinguistics Features and Machine Learning for the Classification and Quantification of Mental Diseases. | 12 |
| 10 | 11 | |
| 11 | 23 | |
| 12 | BioInfo@UAVR at eRisk 2019: delving into Social Media Texts for the Early Detection of Mental and Food Disorders. | 5 |
| 13 | 105 | |
| 14 | 2 | |
| 15 | 17 | |
| 16 | 2 | |
| 17 | Real-Time Color Coded Object Detection Using a Modular Computer Vision Library | 1 |
| 18 | 6 | |
| 19 | 6 | |
| 20 | CAMBADA'2013: Team Description Paper | 1 |
About Alina Trifan
Alina Trifan is a scholar working on Applied Psychology, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 27 papers that have together received 265 indexed citations. Recurring topics across this work include Mental Health via Writing (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Multimodal Machine Learning Applications (4 papers). The work is most often cited by research in Applied Psychology (63 citations), Health Informatics (6 citations) and Experimental and Cognitive Psychology (47 citations). Alina Trifan has collaborated with scholars based in Portugal, Netherlands and United States. Frequent co-authors include José Luís Oliveira, António J. R. Neves, Luís A. Bastião Silva, Ricardo Ribeiro, Rui Pedro Lopes, Paulo Dias, Radek Bukowski, Bernardo Cunha, Nuno Lau and Johan van der Lei. Their work appears in journals such as Applied Sciences, Computer Methods and Programs in Biomedicine and International Journal of Medical Informatics.
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.