Woo Jin Ahn

139 total papers · 651 total citations
58 papers, 439 citations indexed

About

Woo Jin Ahn is a scholar working on Computer Vision and Pattern Recognition, Surgery and Biomedical Engineering. According to data from OpenAlex, Woo Jin Ahn has authored 58 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 22 papers in Surgery and 17 papers in Biomedical Engineering. Recurrent topics in Woo Jin Ahn's work include Surgical Simulation and Training (18 papers), Augmented Reality Applications (14 papers) and Anatomy and Medical Technology (12 papers). Woo Jin Ahn is often cited by papers focused on Surgical Simulation and Training (18 papers), Augmented Reality Applications (14 papers) and Anatomy and Medical Technology (12 papers). Woo Jin Ahn collaborates with scholars based in United States, South Korea and China. Woo Jin Ahn's co-authors include Suvranu De, Ganesh Sankaranarayanan, Steven D. Schwaitzberg, Venkata S. Arikatla, Daniel B. Jones, Caroline G. L. Cao, Amine Chellali, Tansel Halic, Myo Taeg Lim and Sun Young Yi and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and Neurocomputing.

In The Last Decade

Woo Jin Ahn

52 papers receiving 424 citations

Author Peers

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

Author Last Decade Papers Cites
Woo Jin Ahn 273 191 151 65 41 58 439
Florentine Huettl 277 1.0× 193 1.0× 184 1.2× 35 0.5× 16 0.4× 35 432
Ashirwad Chowriappa 367 1.3× 284 1.5× 91 0.6× 51 0.8× 19 0.5× 22 463
Jesper Mosegaard 140 0.5× 125 0.7× 81 0.5× 44 0.7× 22 0.5× 29 396
Werner Korb 245 0.9× 156 0.8× 67 0.4× 32 0.5× 15 0.4× 47 424
Thomas Kerwin 252 0.9× 105 0.5× 88 0.6× 75 1.2× 11 0.3× 35 422
Denis Laroche 243 0.9× 222 1.2× 97 0.6× 26 0.4× 17 0.4× 20 480
Jorge Cornejo 129 0.5× 158 0.8× 27 0.2× 70 1.1× 33 0.8× 52 476
Nikhil V. Navkar 312 1.1× 256 1.3× 239 1.6× 6 0.1× 38 0.9× 52 469
Takaomi Kobayashi 218 0.8× 65 0.3× 68 0.5× 18 0.3× 26 0.6× 62 401
Anna Seo 227 0.8× 171 0.9× 24 0.2× 48 0.7× 15 0.4× 28 474

Countries citing papers authored by Woo Jin Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Woo Jin Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Woo Jin Ahn. 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 Woo Jin Ahn. The network helps show where Woo Jin Ahn may publish in the future.

Co-authorship network of co-authors of Woo Jin Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Woo Jin Ahn. A scholar is included among the top collaborators of Woo Jin Ahn 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 Woo Jin Ahn. Woo Jin Ahn 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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