Byeong Man Kim

811 citations
40 papers · 511 indexed · h-index 10
Topics
Recommender Systems and Techniques (9 papers)Music and Audio Processing (8 papers)Image Retrieval and Classification Techniques (4 papers)
Journals
SHILAP Revista de lepidopterologíaApplied SciencesInformation Processing & Management

In The Last Decade

Byeong Man Kim

32 papers receiving 460 citations

Peers

Byeong Man Kim
Comparison fields: 5 of 60
  • Information Systems 350
  • Computer Vision and Pattern Recognition 166
  • Artificial Intelligence 154
  • Signal Processing 106
  • Computer Networks and Communications 73
Replace Anna Maclachlan with:
Anna Maclachlan Canada
Negar Hariri United States
Marius Kaminskas Italy
SangKeun Lee South Korea
Jay Budzik United States
Simon Dooms Belgium
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Jonathan Gemmell United States
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Citations per field
00.5×2.7×
Anna Maclachlan · 1×
Citations per year

Countries citing papers authored by Byeong Man Kim

Since Specialization
Citations

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

Fields of papers citing papers by Byeong Man Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Byeong Man Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Byeong Man Kim. A scholar is included among the top collaborators of Byeong Man 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 Byeong Man Kim. Byeong Man Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 0
3 0
4 2
5 0
6 1
7 13
8 6
9 4
10 1
11 1
12 3
13 4
14 7
15 17
16 105
17
A GA-Based Fuzzy Traffic Controller for an Intersection with Time-Varying Flow Rate
1
18 47
19
A New Approach to Deterministic Execution Testing for Concurrent Programs
2
20 1

About Byeong Man Kim

Byeong Man Kim is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Software, having authored 40 papers that have together received 511 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (9 papers), Music and Audio Processing (8 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Information Systems (350 citations), Signal Processing (106 citations) and Computer Vision and Pattern Recognition (166 citations). Byeong Man Kim has collaborated with scholars based in South Korea, United States and Uzbekistan. Frequent co-authors include Qing Li, Sung Hyon Myaeng, Ju Youn Kim, Adele E. Howe, Hyun Ah Lee, Wansu Lim, Dong‐Seong Kim, Dong Seong Kim, Hae-Yeoun Lee and Yuanzhu Peter Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Sciences and Information Processing & Management.

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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