Sungbin Lim

81 papers receiving 1.9k citations

Peers

Sungbin Lim
Comparison fields: 5 of 111
  • Modeling and Simulation 918
  • Numerical Analysis 283
  • Statistical and Nonlinear Physics 620
  • Applied Mathematics 437
  • Finance 207
Replace H. J. Haubold with:
H. J. Haubold Austria
Martino Bardi Italy
Guy Jumarie Canada
Nick Laskin Canada
Nikolai Leonenko United Kingdom
Enzo Orsingher Italy
Italo Capuzzo-Dolcetta Italy
L. C. Evans United States
Lawrence Evans United States
R. K. Saxena India
Sungbin Lim relative to H. J. Haubold Austria H. J. Haubold's profile →
Citations per field
00.5×1.5×1.8×
H. J. Haubold · 1×
Citations per year

Countries citing papers authored by Sungbin Lim

Since Specialization
Citations

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

Fields of papers citing papers by Sungbin Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sungbin Lim, 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 Sungbin Lim Line = papers co-authored together Sungbin Lim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011226
2 2002221
3 2008133
4 200876
5 201176
6 201068
7 201163
8 202363
9 201661
10 200161
11 201058
12 200039
13 200139
14 200638
15 200636
16 200536
17
Fast AutoAugment
201933
18 200431
19 200131
20 200330

About Sungbin Lim

Sungbin Lim is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation, Atomic and Molecular Physics, and Optics, Economics and Econometrics and Finance, having authored 86 papers that have together received 2.0k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (23 papers), Complex Systems and Time Series Analysis (18 papers), Cosmology and Gravitation Theories (11 papers), Quantum Electrodynamics and Casimir Effect (11 papers), Stochastic processes and financial applications (10 papers), Advanced Thermodynamics and Statistical Mechanics (9 papers), Financial Risk and Volatility Modeling (8 papers) and Quantum Mechanics and Applications (8 papers). The work is most often cited by research in Modeling and Simulation (918 citations), Numerical Analysis (283 citations), Statistical and Nonlinear Physics (620 citations), Applied Mathematics (437 citations) and Finance (207 citations). Sungbin Lim has collaborated with scholars based in Malaysia, South Korea and China. Frequent co-authors include S. V. Muniandy, Ming Li, Lee-Peng Teo, Ralf Metzler, J. Klafter, Shengyong Chen, Kyeong-Hun Kim, Rajasekaran Murugan, Changhyun Kwon and Sungwoong Kim. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Physics Letters A, Journal of Physics A Mathematical and Theoretical, Physics Letters B and Letters in Mathematical 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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