Daniel Spirn

657 citations
35 papers · 398 · h-index 14

Impact in

Papers in

Daniel Spirn

33 papers receiving 372 citations

Peers

Daniel Spirn
Comparison fields: 5 of 45
  • Mathematical Physics 144
  • Applied Mathematics 143
  • Statistical and Nonlinear Physics 113
  • Condensed Matter Physics 78
  • Computational Mechanics 115
Replace Giandomenico Orlandi with:
Giandomenico Orlandi Italy
Mihaï Bostan France
David Stuart United Kingdom
R. Marra Italy
Benjamin Texier France
Frédéric Poupaud France
Jeremy L. Marzuola United States
E. I. Dinaburg Russia
Naoufel Ben Abdallah France
Isabelle Catto France
Daniel Spirn relative to Giandomenico Orlandi Italy Giandomenico Orlandi's profile →
Citations per field
00.5×3.1×
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 20 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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200739
2 200832
3 200225
4 201425
5 201024
6 201822
7 200422
8 200920
9 200718
10 199718
11 200916
12 200816
13 201914
14 200314
15 199513
16 200811
17 201510
18 20129
19 20147
20 20087

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 35 papers that have together received 398 indexed citations. Recurring topics across this work include Advanced Mathematical Physics Problems (15 papers), Navier-Stokes equation solutions (10 papers), Advanced Mathematical Modeling in Engineering (7 papers), Fluid Dynamics and Turbulent Flows (6 papers), Quantum chaos and dynamical systems (4 papers), Cold Atom Physics and Bose-Einstein Condensates (4 papers), Nonlinear Partial Differential Equations (4 papers) and Quantum, superfluid, helium dynamics (4 papers). The work is most often cited by research in Mathematical Physics (144 citations), Applied Mathematics (143 citations), Statistical and Nonlinear Physics (113 citations), Condensed Matter Physics (78 citations) and Computational Mechanics (115 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, Christof Melcher, Yoichiro Mori, Roger Moser, André Thess, B. Jüttner, Yujin Guo and Yisong Yang. Their work appears in journals such as Communications on Pure and Applied Mathematics, Communications in Mathematical Physics, Indiana University Mathematics Journal, Journal of Nonlinear Science and Calculus of Variations and Partial 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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