Alina Trifan

47 total papers · 508 total citations
27 papers, 259 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 259 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, Nuno Lau, Johan van der Lei and Bernardo Cunha 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 247 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Alina Trifan	62	62	51	46	35	27	259
William Van Woensel	71 1.1×	85 1.4×	32 0.6×	45 1.0×	45 1.3×	37	267
Akinori Okada	52 0.8×	50 0.8×	23 0.5×	29 0.6×	11 0.3×	26	300
Henrique Damasceno Vianna	30 0.5×	64 1.0×	93 1.8×	41 0.9×	40 1.1×	20	328
Rodrigo Simon Bavaresco	92 1.5×	34 0.5×	37 0.7×	26 0.6×	31 0.9×	15	283
Jacky Casas	177 2.9×	29 0.5×	34 0.7×	16 0.3×	26 0.7×	11	315
Gerasimos Spanakis	144 2.3×	40 0.6×	40 0.8×	18 0.4×	49 1.4×	43	306
Theodore Kotsilieris	53 0.9×	18 0.3×	24 0.5×	23 0.5×	56 1.6×	33	275
Young‐Ho Kim	124 2.0×	75 1.2×	30 0.6×	23 0.5×	15 0.4×	22	276
Luca Soldaini	149 2.4×	23 0.4×	18 0.4×	17 0.4×	35 1.0×	32	199
Yining Hua	64 1.0×	26 0.4×	35 0.7×	8 0.2×	20 0.6×	23	175

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

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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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