Verya Daeichin

54 total papers · 579 total citations
37 papers, 425 citations indexed

About

Verya Daeichin is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Mechanics of Materials. According to data from OpenAlex, Verya Daeichin has authored 37 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Biomedical Engineering, 21 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Mechanics of Materials. Recurrent topics in Verya Daeichin's work include Photoacoustic and Ultrasonic Imaging (24 papers), Ultrasound Imaging and Elastography (19 papers) and Ultrasound and Hyperthermia Applications (15 papers). Verya Daeichin is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (24 papers), Ultrasound Imaging and Elastography (19 papers) and Ultrasound and Hyperthermia Applications (15 papers). Verya Daeichin collaborates with scholars based in Netherlands, Switzerland and Sweden. Verya Daeichin's co-authors include Nico de Jong, Martin D. Verweij, Antonius F.W. van der Steen, Klazina Kooiman, Ilya Skachkov, Johan G. Bosch, Gijs van Soest, Tom van Rooij, Michiel A. P. Pertijs and Emile Noothout and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and The Journal of the Acoustical Society of America.

In The Last Decade

Verya Daeichin

36 papers receiving 421 citations

Author Peers

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

Author Last Decade Papers Cites
Verya Daeichin 324 182 77 72 56 37 425
T. F. Hueter 196 0.6× 121 0.7× 38 0.5× 73 1.0× 64 1.1× 26 388
Stephen D. Pye 311 1.0× 235 1.3× 15 0.2× 51 0.7× 83 1.5× 34 481
Xiaoyi Zhu 289 0.9× 120 0.7× 92 1.2× 166 2.3× 40 0.7× 21 449
Jiqing Huang 336 1.0× 93 0.5× 40 0.5× 36 0.5× 25 0.4× 23 407
Sundeep Singh 268 0.8× 111 0.6× 32 0.4× 132 1.8× 61 1.1× 35 479
Afsaneh Mojra 238 0.7× 129 0.7× 17 0.2× 102 1.4× 44 0.8× 52 458
Yu-Hsin Wang 226 0.7× 132 0.7× 32 0.4× 83 1.2× 42 0.8× 43 492
Johannes G. Bosch 260 0.8× 220 1.2× 32 0.4× 48 0.7× 37 0.7× 38 398
Rui Wang 305 0.9× 226 1.2× 105 1.4× 51 0.7× 100 1.8× 50 494
Camilo Perez 268 0.8× 60 0.3× 45 0.6× 39 0.5× 84 1.5× 19 386

Countries citing papers authored by Verya Daeichin

Since Specialization
Citations

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

Fields of papers citing papers by Verya Daeichin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Verya Daeichin

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