Anabela Da Silva

136 total papers · 927 total citations
49 papers, 670 citations indexed

About

Anabela Da Silva is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anabela Da Silva has authored 49 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Biomedical Engineering, 34 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anabela Da Silva's work include Optical Imaging and Spectroscopy Techniques (34 papers), Photoacoustic and Ultrasonic Imaging (32 papers) and Non-Invasive Vital Sign Monitoring (11 papers). Anabela Da Silva is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (34 papers), Photoacoustic and Ultrasonic Imaging (32 papers) and Non-Invasive Vital Sign Monitoring (11 papers). Anabela Da Silva collaborates with scholars based in France, Switzerland and Canada. Anabela Da Silva's co-authors include Jean‐Marc Dinten, Marie‐Anne Estève, Véronique Josserand, Serge Berthier, Éric Charron, Isabelle Texier, S. Sridhar, Chiara Bastiancich, Laurent Guyon and Nadia Djaker and has published in prestigious journals such as Chemical Communications, Scientific Reports and Optics Letters.

In The Last Decade

Anabela Da Silva

47 papers receiving 665 citations

Author Peers

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

Author						Papers	Cites
Anabela Da Silva	476	227	93	88	67	49	670
Elisabeth S. Papazoglou	272 0.6×	167 0.7×	101 1.1×	180 2.0×	34 0.5×	44	777
Tali Ilovitsh	551 1.2×	280 1.2×	143 1.5×	32 0.4×	35 0.5×	54	691
Chuanqing Zhou	375 0.8×	317 1.4×	97 1.0×	105 1.2×	32 0.5×	45	769
Yanxiu Li	500 1.1×	177 0.8×	73 0.8×	165 1.9×	38 0.6×	38	758
Olaf Minet	424 0.9×	309 1.4×	56 0.6×	94 1.1×	201 3.0×	65	741
Orly Liba	373 0.8×	67 0.3×	90 1.0×	87 1.0×	115 1.7×	25	562
Wen‐Chuan Kuo	427 0.9×	113 0.5×	31 0.3×	108 1.2×	93 1.4×	61	654
Yingying Zhou	479 1.0×	79 0.3×	33 0.4×	93 1.1×	29 0.4×	37	752
Mathias Bonmarin	232 0.5×	72 0.3×	76 0.8×	57 0.6×	22 0.3×	46	554
Irina L. Maksimova	426 0.9×	85 0.4×	159 1.7×	74 0.8×	70 1.0×	39	619

Countries citing papers authored by Anabela Da Silva

Since Specialization

Citations

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

Fields of papers citing papers by Anabela Da Silva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anabela Da Silva. 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 Anabela Da Silva. The network helps show where Anabela Da Silva may publish in the future.

Co-authorship network of co-authors of Anabela Da Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Anabela Da Silva. A scholar is included among the top collaborators of Anabela Da Silva 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 Anabela Da Silva. Anabela Da Silva 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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