Daniel Han-Kwan

716 citations
29 papers · 373 · h-index 12

Impact in

Papers in

Daniel Han-Kwan

28 papers receiving 335 citations

Peers

Daniel Han-Kwan
Comparison fields: 5 of 28
  • Applied Mathematics 325
  • Mathematical Physics 113
  • Computational Mechanics 178
  • Statistical and Nonlinear Physics 55
  • Modeling and Simulation 8
Replace Tristan Buckmaster with:
Tristan Buckmaster United States
A. A. Arsen’ev Russia
Benjamin Texier France
E. Horst Germany
Victor Nistor United States
Seok-Bae Yun South Korea
Junyu Lin China
Giandomenico Orlandi Italy
S. Caprino Italy
V. I. Arnold
Daniel Han-Kwan relative to Tristan Buckmaster United States Tristan Buckmaster's profile →
Citations per field
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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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201349
2 201145
3
FROM VLASOV-POISSON TO KORTEWEG-DE VRIES AND ZAKHAROV-KUZNETSOV
201529
4 201627
5 201423
6 202023
7 201419
8 201617
9 201515
10 201914
11 201814
12 202213
13 201510
14 202110
15 20129
16 20108
17 20148
18 20128
19 20107
20 20166

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 29 papers that have together received 373 indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (23 papers), Navier-Stokes equation solutions (21 papers), Advanced Mathematical Modeling in Engineering (5 papers), Fluid Dynamics and Turbulent Flows (5 papers), Stochastic processes and financial applications (4 papers), Advanced Mathematical Physics Problems (4 papers), Computational Fluid Dynamics and Aerodynamics (4 papers) and Stability and Controllability of Differential Equations (3 papers). The work is most often cited by research in Applied Mathematics (325 citations), Mathematical Physics (113 citations), Computational Mechanics (178 citations), Statistical and Nonlinear Physics (55 citations) and Modeling and Simulation (8 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, Indiana University Mathematics Journal, Kinetic and Related Models 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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