Daniel Han-Kwan

649 citations
28 papers · 324 · h-index 11

Impact in

Papers in

Daniel Han-Kwan

26 papers receiving 287 citations

Peers

Daniel Han-Kwan
Comparison fields: 5 of 25
  • Applied Mathematics 295
  • Mathematical Physics 82
  • Computational Mechanics 165
  • Statistical and Nonlinear Physics 33
  • Finance 18
Replace A. A. Arsen’ev with:
A. A. Arsen’ev Russia
Junyu Lin China
E. Horst Germany
Seok-Bae Yun South Korea
Victor Nistor United States
S. Caprino Italy
Simone Di Marino Italy
Frédéric Hérau France
Joachim Stubbe Switzerland
Tetu Makino Japan
Daniel Han-Kwan relative to A. A. Arsen’ev Russia A. A. Arsen’ev's profile →
Citations per field
00.5×10×20×30×36×
A. A. Arsen’ev · 1×
Citations per year

Countries citing papers authored by Daniel Han-Kwan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Han-Kwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Han-Kwan. 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 Daniel Han-Kwan. The network helps show where Daniel Han-Kwan may publish in the future.

Co-authors

The 8 scholars most cited alongside Daniel Han-Kwan, 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 Daniel Han-Kwan Line = papers co-authored together Daniel Han-Kwan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201347
2 201144
3 201625
4 201422
5 202020
6 201418
7 201616
8 201515
9 201914
10 201813
11 202211
12 201510
13 20218
14 20128
15 20108
16 20128
17 20147
18 20107
19 20166
20 20104

About Daniel Han-Kwan

Daniel Han-Kwan is a scholar working on Applied Mathematics, Computational Mechanics, Mathematical Physics, Computational Theory and Mathematics and Finance, having authored 28 papers that have together received 324 indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (23 papers), Navier-Stokes equation solutions (20 papers), Advanced Mathematical Modeling in Engineering (5 papers), Fluid Dynamics and Turbulent Flows (5 papers), Stochastic processes and financial applications (4 papers), Computational Fluid Dynamics and Aerodynamics (4 papers), Advanced Mathematical Physics Problems (3 papers) and Numerical methods in inverse problems (3 papers). The work is most often cited by research in Applied Mathematics (295 citations), Mathematical Physics (82 citations), Computational Mechanics (165 citations), Statistical and Nonlinear Physics (33 citations) and Finance (18 citations). Daniel Han-Kwan has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Frédéric Rousset, David Gérard‐Varet, Toan T. Nguyen, Ayman Moussa, Olivier Glass, Maxime Hauray, Matthieu Léautaud and Jens D. M. Rademacher. Their work appears in journals such as Archive for Rational Mechanics and Analysis, SIAM Journal on Mathematical Analysis, Journal de Mathématiques Pures et Appliquées, SIAM Journal on Applied Dynamical Systems and Asymptotic Analysis.

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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