Sang-Il Park

80 total papers · 808 total citations
38 papers, 613 citations indexed

About

Sang-Il Park is a scholar working on Computer Vision and Pattern Recognition, Public Health, Environmental and Occupational Health and Obstetrics and Gynecology. According to data from OpenAlex, Sang-Il Park has authored 38 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Public Health, Environmental and Occupational Health and 6 papers in Obstetrics and Gynecology. Recurrent topics in Sang-Il Park's work include Diverse Approaches in Healthcare and Education Studies (6 papers), Diverse Topics in Contemporary Research (6 papers) and Endometrial and Cervical Cancer Treatments (5 papers). Sang-Il Park is often cited by papers focused on Diverse Approaches in Healthcare and Education Studies (6 papers), Diverse Topics in Contemporary Research (6 papers) and Endometrial and Cervical Cancer Treatments (5 papers). Sang-Il Park collaborates with scholars based in South Korea and United States. Sang-Il Park's co-authors include C. F. Quate, Moon‐Hong Kim, Junsung Hong, Z. G. Khim, Sang‐Young Ryu, S.-I. Kwun, Chul-Koo Cho, Kidong Kim, Byung‐Ho Nam and Sojeong Yoon and has published in prestigious journals such as Physical review. B, Condensed matter, Applied Physics Letters and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Sang-Il Park

27 papers receiving 582 citations

Author Peers

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

Author						Papers	Cites
Sang-Il Park	285	160	133	132	85	38	613
Satoshi� Matsui	114 0.4×	24 0.1×	159 1.2×	191 1.4×	51 0.6×	67	695
Mustapha Hamdi	89 0.3×	29 0.2×	63 0.5×	145 1.1×	30 0.4×	36	583
Nicoleta Dragomir	188 0.7×	86 0.5×	37 0.3×	149 1.1×	16 0.2×	43	648
A Jost	144 0.5×	12 0.1×	89 0.7×	192 1.5×	8 0.1×	57	628
Qilong Tan	121 0.4×	30 0.2×	26 0.2×	209 1.6×	15 0.2×	34	606
Farhad Khosravi	129 0.5×	20 0.1×	140 1.1×	172 1.3×	9 0.1×	35	674
Christopher L. Deufel	196 0.7×	18 0.1×	6 0.0×	188 1.4×	47 0.6×	56	674
Kohei Matsuura	58 0.2×	91 0.6×	45 0.3×	17 0.1×	17 0.2×	45	677
S. Yasuda	57 0.2×	17 0.1×	140 1.1×	62 0.5×	26 0.3×	41	635
Donguk Kim	18 0.1×	91 0.6×	240 1.8×	37 0.3×	20 0.2×	51	693

Countries citing papers authored by Sang-Il Park

Since Specialization

Citations

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

Fields of papers citing papers by Sang-Il Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang-Il Park. 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 Sang-Il Park. The network helps show where Sang-Il Park may publish in the future.

Co-authorship network of co-authors of Sang-Il Park

This figure shows the co-authorship network connecting the top 25 collaborators of Sang-Il Park. A scholar is included among the top collaborators of Sang-Il Park 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 Sang-Il Park. Sang-Il Park 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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