Jinman Kim

21 total papers · 756 total citations
12 papers, 480 citations indexed

About

Jinman Kim is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Jinman Kim has authored 12 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Oncology. Recurrent topics in Jinman Kim's work include Medical Image Segmentation Techniques (4 papers), Medical Imaging Techniques and Applications (4 papers) and Cutaneous Melanoma Detection and Management (4 papers). Jinman Kim is often cited by papers focused on Medical Image Segmentation Techniques (4 papers), Medical Imaging Techniques and Applications (4 papers) and Cutaneous Melanoma Detection and Management (4 papers). Jinman Kim collaborates with scholars based in Australia, China and Hong Kong. Jinman Kim's co-authors include Dagan Feng, Lei Bi, Michael Fulham, Euijoon Ahn, Ashnil Kumar, Changyang Li, Weidong Cai, Yang Song, Mingyuan Meng and Stefan Eberl and has published in prestigious journals such as IEEE Transactions on Medical Imaging, IEEE Transactions on Biomedical Engineering and Frontiers in Oncology.

In The Last Decade

Jinman Kim

10 papers receiving 468 citations

Author Peers

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

Author						Papers	Cites
Jinman Kim	309	271	125	117	109	12	480
Ebrahim Nasr-Esfahani	289 0.9×	262 1.0×	157 1.3×	93 0.8×	143 1.3×	11	533
Roberta B. Oliveira	385 1.2×	290 1.1×	125 1.0×	122 1.0×	48 0.4×	22	538
Jeffrey Glaister	219 0.7×	174 0.6×	86 0.7×	64 0.5×	109 1.0×	22	473
P. C. Siddalingaswamy	240 0.8×	221 0.8×	163 1.3×	72 0.6×	215 2.0×	34	530
Reda Kasmi	428 1.4×	331 1.2×	77 0.6×	125 1.1×	51 0.5×	11	513
Aïcha BenTaieb	195 0.6×	329 1.2×	167 1.3×	64 0.5×	157 1.4×	11	487
Guilian Chen	162 0.5×	230 0.8×	223 1.8×	74 0.6×	91 0.8×	19	469
Nudrat Nida	191 0.6×	187 0.7×	162 1.3×	61 0.5×	65 0.6×	23	433
Haidar Almubarak	130 0.4×	249 0.9×	131 1.0×	86 0.7×	139 1.3×	16	485
Karim Mokrani	213 0.7×	209 0.8×	117 0.9×	65 0.6×	52 0.5×	21	443

Countries citing papers authored by Jinman Kim

Since Specialization

Citations

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

Fields of papers citing papers by Jinman Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinman Kim

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