Seok‐Jin Kang

102 papers receiving 1.7k citations

Peers

Seok‐Jin Kang
Comparison fields: 5 of 99
  • Geometry and Topology 1.4k
  • Algebra and Number Theory 996
  • Statistical and Nonlinear Physics 746
  • Mathematical Physics 510
  • Discrete Mathematics and Combinatorics 443
Replace Ivan Cherednik with:
Ivan Cherednik United States
Andrei Martı́nez-Finkelshtein Spain
Richard J. Szabo United Kingdom
Toshikazu Sunada Japan
Rafe Mazzeo United States
Матти Вуоринен Finland
Kenji Ueno Japan
Andrea Cappelli Italy
A. Sarti Italy
Chi‐Ming Chang United States
Seok‐Jin Kang relative to Ivan Cherednik United States Ivan Cherednik's profile →
Citations per field
00.5×1.5×2.5×
Ivan Cherednik · 1×
Citations per year

Countries citing papers authored by Seok‐Jin Kang

Since Specialization
Citations

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

Fields of papers citing papers by Seok‐Jin Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seok‐Jin Kang. 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 Seok‐Jin Kang. The network helps show where Seok‐Jin Kang may publish in the future.

Co-authorship network of co-authors of Seok‐Jin Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Seok‐Jin Kang. A scholar is included among the top collaborators of Seok‐Jin Kang 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 Seok‐Jin Kang. Seok‐Jin Kang 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 0
2 2
3 14
4 9
5 2
6 0
7
An Study on the Application of CPTED for Safer Schools
1
8 7
9 19
10 2
11 7
12 10
13 20
14 192
15 3
16 8
17
Weight multiplicity polynomials for affine Kac-Moody algebras of type $A_r$
4
18
Crystal bases of Verma modules for quantum affine Lie algebras
62
19 18
20
Gradations and structure of Kac-Moody Lie algebras
11

About Seok‐Jin Kang

Seok‐Jin Kang is a scholar working on Algebra and Number Theory, Geometry and Topology and Discrete Mathematics and Combinatorics, having authored 112 papers that have together received 1.9k indexed citations. Recurring topics across this work include Algebraic structures and combinatorial models (74 papers), Advanced Topics in Algebra (58 papers) and Nonlinear Waves and Solitons (46 papers). The work is most often cited by research in Algebra and Number Theory (996 citations), Geometry and Topology (1.4k citations) and Discrete Mathematics and Combinatorics (443 citations). Seok‐Jin Kang has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Masaki Kashiwara, Jin Hong, Kailash C. Misra, Toshiki Nakashima, Atsushi Nakayashiki, Kyu‐Hwan Lee, Tetsuji Miwa, Myung‐Hwan Kim, Georgia Benkart and Yikai Wang. Their work appears in journals such as Journal of Alloys and Compounds, Communications in Mathematical Physics and Japanese Journal of Applied Physics.

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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