H. Park

15 total papers · 1.1k total citations
12 papers, 761 citations indexed

About

H. Park is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Signal Processing. According to data from OpenAlex, H. Park has authored 12 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Theory and Mathematics and 2 papers in Signal Processing. Recurrent topics in H. Park's work include Face and Expression Recognition (5 papers), Matrix Theory and Algorithms (4 papers) and Spectroscopy and Chemometric Analyses (2 papers). H. Park is often cited by papers focused on Face and Expression Recognition (5 papers), Matrix Theory and Algorithms (4 papers) and Spectroscopy and Chemometric Analyses (2 papers). H. Park collaborates with scholars based in United States, Sweden and Belgium. H. Park's co-authors include Peg Howland, Ravi Janardan, Jieping Ye, Franklin T. Luk, J. B. Rosen, Joohwan Chun, Jeong Mi Park, Moongu Jeon, Lars Eldén and Sabine Van Huffel and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Computers and Protein Engineering Design and Selection.

In The Last Decade

H. Park

12 papers receiving 696 citations

Author Peers

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

Author						Papers	Cites
H. Park	388	187	181	135	130	12	761
Yong Liang	151 0.4×	136 0.7×	105 0.6×	92 0.7×	35 0.3×	25	780
Michael Mavroforakis	307 0.8×	76 0.4×	366 2.0×	18 0.1×	53 0.4×	16	675
Francis R. Bach	410 1.1×	82 0.4×	318 1.8×	26 0.2×	166 1.3×	11	823
Warren Koontz	262 0.7×	30 0.2×	295 1.6×	40 0.3×	117 0.9×	18	735
S. Vempala	224 0.6×	46 0.2×	531 2.9×	172 1.3×	157 1.2×	15	866
Mátyás A. Sustik	228 0.6×	63 0.3×	270 1.5×	46 0.3×	125 1.0×	10	744
Achraf Daoui	691 1.8×	42 0.2×	139 0.8×	77 0.6×	97 0.7×	47	877
Peg Howland	436 1.1×	63 0.3×	280 1.5×	30 0.2×	117 0.9×	9	642
Nandakishore Kambhatla	223 0.6×	19 0.1×	313 1.7×	64 0.5×	86 0.7×	12	701
Simon Günter	310 0.8×	36 0.2×	387 2.1×	46 0.3×	114 0.9×	18	712

Countries citing papers authored by H. Park

Since Specialization

Citations

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

Fields of papers citing papers by H. Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Park

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