Daniel Spirn

644 citations
34 papers · 375 indexed · h-index 14

Impact in

Papers in

Daniel Spirn

32 papers receiving 352 citations

Peers

Daniel Spirn
Comparison fields: 5 of 44
  • Mathematical Physics 139
  • Applied Mathematics 138
  • Statistical and Nonlinear Physics 107
  • Condensed Matter Physics 69
  • Computational Mechanics 105
Replace Giandomenico Orlandi with:
Giandomenico Orlandi Italy
Mihaï Bostan France
David Stuart United Kingdom
R. Marra Italy
Jeremy L. Marzuola United States
Frédéric Poupaud France
Benjamin Texier France
Floyd L. Williams United States
Sihong Shao China
E. I. Dinaburg Russia
Daniel Spirn relative to Giandomenico Orlandi Italy Giandomenico Orlandi's profile →
Citations per field
00.5×3.4×
Giandomenico Orlandi · 1×
Citations per year

Countries citing papers authored by Daniel Spirn

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Spirn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Daniel Spirn, 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 Spirn Line = papers co-authored together Daniel Spirn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200738
2 200831
3 201425
4 200223
5 201822
6 200422
7 201021
8 200919
9 200718
10 199717
11 200816
12 201914
13 200913
14 199513
15 200811
16 200311
17 201510
18 20128
19 20086
20 20146

About Daniel Spirn

Daniel Spirn is a scholar working on Mathematical Physics, Applied Mathematics, Statistical and Nonlinear Physics, Computational Mechanics and Condensed Matter Physics, having authored 34 papers that have together received 375 indexed citations. Recurring topics across this work include Advanced Mathematical Physics Problems (14 papers), Navier-Stokes equation solutions (10 papers), Advanced Mathematical Modeling in Engineering (7 papers), Fluid Dynamics and Turbulent Flows (6 papers), Physics of Superconductivity and Magnetism (4 papers), Nonlinear Partial Differential Equations (4 papers), Quantum, superfluid, helium dynamics (4 papers) and Quantum chaos and dynamical systems (4 papers). The work is most often cited by research in Mathematical Physics (139 citations), Applied Mathematics (138 citations), Statistical and Nonlinear Physics (107 citations), Condensed Matter Physics (69 citations) and Computational Mechanics (105 citations). Daniel Spirn has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Robert L. Jerrard, Yan Guo, Robin Ming Chen, Yoichiro Mori, André Thess, Christof Melcher, Roger Moser, B. Jüttner, Yujin Guo and Dong Yan. Their work appears in journals such as Indiana University Mathematics Journal, Communications on Pure and Applied Mathematics, Communications in Mathematical Physics, Journal of Nonlinear Science and Archive for Rational Mechanics and 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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