Adriane Parraga

30 total papers · 539 total citations
21 papers, 395 citations indexed

About

Adriane Parraga is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Adriane Parraga has authored 21 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Biomedical Engineering. Recurrent topics in Adriane Parraga's work include Medical Image Segmentation Techniques (5 papers), Medical Imaging and Analysis (5 papers) and Medical Imaging Techniques and Applications (5 papers). Adriane Parraga is often cited by papers focused on Medical Image Segmentation Techniques (5 papers), Medical Imaging and Analysis (5 papers) and Medical Imaging Techniques and Applications (5 papers). Adriane Parraga collaborates with scholars based in Brazil, Belgium and Spain. Adriane Parraga's co-authors include Benoı̂t Macq, Vincent Grégoire, John A. Lee, Xavier Geets, Pierre Castadot, Alexandre Sanfelice Bazanella, L.F.A. Pereira, Ricardo Dalagnol, Shuisen Chen and Lênio Soares Galvão and has published in prestigious journals such as International Journal of Remote Sensing, IEEE Transactions on Control Systems Technology and Radiotherapy and Oncology.

In The Last Decade

Adriane Parraga

18 papers receiving 374 citations

Author Peers

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

Author						Papers	Cites
Adriane Parraga	148	134	86	57	52	21	395
Liang Zeng	202 1.4×	76 0.6×	9 0.1×	10 0.2×	18 0.3×	21	437
Walter Hillen	122 0.8×	56 0.4×	131 1.5×	30 0.5×		15	403
Petter Risholm	136 0.9×	47 0.4×	3 0.0×	22 0.4×	6 0.1×	30	443
Yonghyun Kim	10 0.1×	22 0.2×	73 0.8×	45 0.8×	13 0.3×	21	394
Xia Huang	266 1.8×	64 0.5×	4 0.0×	8 0.1×	1 0.0×	15	384
Dong Mi	79 0.5×	31 0.2×	10 0.1×	5 0.1×	6 0.1×	45	396
Jianwei Huang	23 0.2×	31 0.2×	21 0.2×	26 0.5×	1 0.0×	37	380
Tingting Zhao	130 0.9×	6 0.0×	5 0.1×	7 0.1×	35 0.7×	33	374
A Thomas	64 0.4×	92 0.7×	15 0.2×	123 2.2×	4 0.1×	32	405
Yixin Yang	40 0.3×	4 0.0×	14 0.2×	33 0.6×	16 0.3×	40	395

Countries citing papers authored by Adriane Parraga

Since Specialization

Citations

This map shows the geographic impact of Adriane Parraga'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 Adriane Parraga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adriane Parraga more than expected).

Fields of papers citing papers by Adriane Parraga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adriane Parraga. 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 Adriane Parraga. The network helps show where Adriane Parraga may publish in the future.

Co-authorship network of co-authors of Adriane Parraga

This figure shows the co-authorship network connecting the top 25 collaborators of Adriane Parraga. A scholar is included among the top collaborators of Adriane Parraga 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 Adriane Parraga. Adriane Parraga 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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