Minseop Park

9 total papers · 673 total citations
3 papers, 42 citations indexed

About

Minseop Park is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Minseop Park has authored 3 papers receiving a total of 42 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Minseop Park's work include Domain Adaptation and Few-Shot Learning (2 papers), Machine Learning and ELM (2 papers) and Computational Physics and Python Applications (1 paper). Minseop Park is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Machine Learning and ELM (2 papers) and Computational Physics and Python Applications (1 paper). Minseop Park collaborates with scholars based in United Kingdom, South Korea and China. Minseop Park's co-authors include Yanbin Liu, Saehoon Kim, Yi Yang, Eunho Yang, Sung Ju Hwang and Markus Nagel and has published in prestigious journals such as Computer Vision and Pattern Recognition.

In The Last Decade

Minseop Park

3 papers receiving 39 citations

Author Peers

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

Author						Papers	Cites
Minseop Park	38	26	5	4	3	3	42
Jihoon Tack	37 1.0×	18 0.7×	3 0.6×	1 0.3×	2 0.7×	4	45
Chen-Yu Lee	24 0.6×	27 1.0×	3 0.6×		3 1.0×	2	50
Sen Zha	15 0.4×	29 1.1×	8 1.6×	2 0.5×	6 2.0×	2	44
Mohammad Pezeshki	25 0.7×	17 0.7×	4 0.8×		5 1.7×	3	52
Gowthami Somepalli	30 0.8×	36 1.4×	2 0.4×	2 0.5×	1 0.3×	2	69
Wilka Carvalho	37 1.0×	13 0.5×	3 0.6×	1 0.3×	2 0.7×	3	53
Mita D. Desai	15 0.4×	22 0.8×	5 1.0×		3 1.0×	5	34
Ishaan Gulrajani	32 0.8×	39 1.5×		3 0.8×	3 1.0×	3	62
Elli Kanal	31 0.8×	8 0.3×	5 1.0×	2 0.5×		3	47
Emmanuel Vallée	17 0.4×	13 0.5×	14 2.8×	2 0.5×	5 1.7×	3	45

Countries citing papers authored by Minseop Park

Since Specialization

Citations

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

Fields of papers citing papers by Minseop Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minseop Park

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