Alina Trifan

513 total citations
27 papers, 265 citations indexed

About

Alina Trifan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Alina Trifan has authored 27 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Alina Trifan's work include Mental Health via Writing (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Multimodal Machine Learning Applications (4 papers). Alina Trifan is often cited by papers focused on Mental Health via Writing (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Multimodal Machine Learning Applications (4 papers). Alina Trifan collaborates with scholars based in Portugal, United States and Netherlands. Alina Trifan's 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, Johan van der Lei and Nuno Lau and has published in prestigious journals such as Applied Sciences, Computer Methods and Programs in Biomedicine and International Journal of Medical Informatics.

In The Last Decade

Alina Trifan

25 papers receiving 253 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alina Trifan Portugal 8 63 62 52 47 35 27 265
William Van Woensel Canada 8 89 1.4× 71 1.1× 32 0.6× 47 1.0× 45 1.3× 37 271
Hafiz Syed Muhammad Bilal South Korea 11 34 0.5× 135 2.2× 56 1.1× 37 0.8× 66 1.9× 32 467
Robin De Croon Belgium 11 39 0.6× 64 1.0× 55 1.1× 18 0.4× 72 2.1× 31 354
Henrique Damasceno Vianna Brazil 10 66 1.0× 30 0.5× 93 1.8× 42 0.9× 40 1.1× 20 331
Samantha Winter United States 8 40 0.6× 183 3.0× 22 0.4× 29 0.6× 28 0.8× 9 466
Jacky Casas Switzerland 7 30 0.5× 183 3.0× 34 0.7× 16 0.3× 28 0.8× 11 323
Yngve Lamo Norway 13 69 1.1× 221 3.6× 23 0.4× 51 1.1× 157 4.5× 57 447
Gerasimos Spanakis Netherlands 11 40 0.6× 147 2.4× 41 0.8× 20 0.4× 49 1.4× 43 313
Stanisław Saganowski Poland 11 32 0.5× 161 2.6× 64 1.2× 201 4.3× 20 0.6× 28 573
Yannis Haralambous France 5 82 1.3× 119 1.9× 23 0.4× 53 1.1× 16 0.5× 28 354

Countries citing papers authored by Alina Trifan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Ribeiro, Ricardo, Alina Trifan, & António J. R. Neves. (2024). A deep learning approach for transportation mode identification using a transformation of GPS trajectory data features into an image representation. International Journal of Data Science and Analytics. 20(2). 1023–1032. 3 indexed citations
2.
Trifan, Alina, et al.. (2023). Knowledge Maps as Support Tool for Managing Scientific Competences: A Case Study at a Portuguese Research Institute. Publications. 11(1). 19–19. 2 indexed citations
3.
Ribeiro, Ricardo, Alina Trifan, & António J. R. Neves. (2022). Lifelog Retrieval From Daily Digital Data: Narrative Review. JMIR mhealth and uhealth. 10(5). e30517–e30517. 19 indexed citations
4.
Ribeiro, Ricardo, Alina Trifan, & António J. R. Neves. (2022). Blind Image Quality Assessment with Deep Learning: A Replicability Study and Its Reproducibility in Lifelogging. Applied Sciences. 13(1). 59–59. 3 indexed citations
5.
Trifan, Alina, et al.. (2022). MEMORIA: A Memory Enhancement and MOment RetrIeval Application for LSC 2022. 8–13. 5 indexed citations
6.
Trifan, Alina, et al.. (2021). VADER meets BERT: sentiment analysis for early detection of signs of self-harm through social mining.. CLEF (Working Notes). 897–907. 1 indexed citations
7.
Trifan, Alina & José Luís Oliveira. (2021). Cross-evaluation of social mining for classification of depressed online personas. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 18(2). 101–110. 2 indexed citations
8.
Trifan, Alina, Sérgio Matos, Pedro Morgado, & José Luís Oliveira. (2021). Bilingual Emotion Analysis on Social Media throughout the COVID19 Pandemic in Portugal. 430–434. 1 indexed citations
9.
Trifan, Alina, et al.. (2020). BioInfo@UAVR at eRisk 2020: on the Use of Psycholinguistics Features and Machine Learning for the Classification and Quantification of Mental Diseases.. CLEF (Working Notes). 12 indexed citations
10.
Trifan, Alina, et al.. (2020). Social Media Mining for Postpartum Depression Prediction. Studies in health technology and informatics. 270. 1391–1392. 11 indexed citations
11.
Trifan, Alina & José Luís Oliveira. (2019). BioInfo@UAVR at eRisk 2019: delving into Social Media Texts for the Early Detection of Mental and Food Disorders.. CLEF (Working Notes). 5 indexed citations
12.
Oliveira, José Luís, Alina Trifan, & Luís A. Bastião Silva. (2019). EMIF Catalogue: A collaborative platform for sharing and reusing biomedical data. International Journal of Medical Informatics. 126. 35–45. 23 indexed citations
13.
Trifan, Alina, et al.. (2019). Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations. JMIR mhealth and uhealth. 7(8). e12649–e12649. 105 indexed citations
14.
Trifan, Alina & José Luís Oliveira. (2019). Patient data discovery platforms as enablers of biomedical and translational research: A systematic review. Journal of Biomedical Informatics. 93. 103154–103154. 2 indexed citations
15.
Silva, Luís A. Bastião, Alina Trifan, & José Luís Oliveira. (2018). MONTRA: An agile architecture for data publishing and discovery. Computer Methods and Programs in Biomedicine. 160. 33–42. 17 indexed citations
16.
Trifan, Alina, et al.. (2018). A Methodology for Fine-Grained Access Control in Exposing Biomedical Data. Studies in health technology and informatics. 247. 561–565. 2 indexed citations
17.
Trifan, Alina & José Luís Oliveira. (2018). A FAIR Marketplace for Biomedical Data Custodians and Clinical Researchers. 8 indexed citations
18.
Neves, António J. R., et al.. (2016). Real-Time Color Coded Object Detection Using a Modular Computer Vision Library. Advances in computer science : an international journal. 5(1). 110–123. 1 indexed citations
19.
Trifan, Alina & António J. R. Neves. (2016). A Survey On Lossless Compression Of Bayer Color Filter Array Images. Zenodo (CERN European Organization for Nuclear Research). 10(4). 729–734. 6 indexed citations
20.
Neves, António J. R., et al.. (2015). Detection of Aerial Balls in Robotic Soccer Using a Mixture of Color and Depth Information. 227–232. 6 indexed citations

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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