Inbo Sim

710 citations
53 papers · 454 · h-index 14

Impact in

Papers in

    • Nonlinear Partial Differential Equations 46
    • Nonlinear Differential Equations Analysis 23
    • Differential Equations and Boundary Problems 5
    • Geometric Analysis and Curvature Flows 3
    • Advanced Mathematical Modeling in Engineering 35

Inbo Sim

49 papers receiving 423 citations

Peers

Inbo Sim
Comparison fields: 5 of 38
  • Applied Mathematics 387
  • Computational Theory and Mathematics 276
  • Mathematical Physics 123
  • Numerical Analysis 51
  • Control and Systems Engineering 39
Replace Peng Luo with:
Peng Luo China
Chenghua Gao China
Sandra Martı́nez Argentina
Guowang Chen China
Francisco Javier García‐Pacheco Spain
C. H. Arthur Cheng Taiwan
Marco Spadini Italy
Jong Son Shin Japan
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Jianghao Hao China
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Citations per field
00.5×3.7×
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Citations per year

Countries citing papers authored by Inbo Sim

Since Specialization
Citations

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

Fields of papers citing papers by Inbo Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Inbo Sim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Inbo Sim Line = papers co-authored together Inbo Sim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200631
2 201530
3 202424
4 201623
5 202222
6 200621
7 201418
8 201517
9 200717
10 201616
11 201814
12 201514
13 201013
14 201613
15 201913
16 201811
17 201211
18 200611
19 200410
20 20199

About Inbo Sim

Inbo Sim is a scholar working on Applied Mathematics, Computational Theory and Mathematics, Mathematical Physics, Numerical Analysis and Electrical and Electronic Engineering, having authored 53 papers that have together received 454 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (46 papers), Advanced Mathematical Modeling in Engineering (35 papers), Nonlinear Differential Equations Analysis (23 papers), Spectral Theory in Mathematical Physics (16 papers), Advanced Mathematical Physics Problems (6 papers), Numerical methods in inverse problems (5 papers), Differential Equations and Boundary Problems (5 papers) and Geometric Analysis and Curvature Flows (3 papers). The work is most often cited by research in Applied Mathematics (387 citations), Computational Theory and Mathematics (276 citations), Mathematical Physics (123 citations), Numerical Analysis (51 citations) and Control and Systems Engineering (39 citations). Inbo Sim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Ky Ho, Yong-Hoon Lee, Satoshi Tanaka, R. Shivaji, Ryuji Kajikiya, Kanishka Perera, Kyusang Lee, Minseong Park, Doeon Lee and Yong Hoon Lee. Their work appears in journals such as Nonlinear Analysis, Applied Mathematics Letters, Journal of Mathematical Analysis and Applications, Advances in Nonlinear Analysis and Journal of Differential Equations.

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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