J. Marsden

2.4k citations
13 papers · 1.7k indexed · 1 hit paper · h-index 10

J. Marsden

13 papers receiving 1.5k citations

Hit Papers

Manifolds, Tensor Analysis, and Applications8361984202619982012250500750

Peers

J. Marsden
Comparison fields: 5 of 112
  • Statistical and Nonlinear Physics 344
  • Mathematical Physics 246
  • Numerical Analysis 128
  • Geometry and Topology 194
  • Applied Mathematics 206
Replace Jean‐David Benamou with:
Jean‐David Benamou France
Satyanad Kichenassamy France
J. R. Ockendon United Kingdom
P. R. Garabedian United States
M. Zuhair Nashed United States
F. J. Narcowich United States
Boris Khesin Canada
Yann Brenier France
Ned Anderson United States
Derek F. Lawden United Kingdom
J. Marsden relative to Jean‐David Benamou France Jean‐David Benamou's profile →
Citations per field
00.5×1.5×
Jean‐David Benamou · 1×
Citations per year

Countries citing papers authored by J. Marsden

Since Specialization
Citations

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

Fields of papers citing papers by J. Marsden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 20091
2 2008108
3 200613
4 2005205
5 2005141
6 200445
7 1988245
8
Manifolds, Tensor Analysis, and Applicationsbreakdown →
1984836
9 197622
10 197321
11 19732
12 197031
13 19672

About J. Marsden

J. Marsden is a scholar working on Geometry and Topology, Mathematical Physics and Applied Mathematics, having authored 13 papers that have together received 1.7k indexed citations. Recurring topics across this work include Oceanographic and Atmospheric Processes (2 papers), Ocean Waves and Remote Sensing (2 papers), Geometric and Algebraic Topology (2 papers), Computational Physics and Python Applications (2 papers), Nonlinear Differential Equations Analysis (1 paper), Cosmology and Gravitation Theories (1 paper), Advanced Numerical Methods in Computational Mathematics (1 paper) and Advanced Algebra and Geometry (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (344 citations), Mathematical Physics (246 citations) and Numerical Analysis (128 citations). J. Marsden has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Ralph Abraham, Tudor S. Raţiu, Cécile DeWitt-Morette, François Lekien, C. Coulliette, Arthur J. Mariano, George Haller, Edward H. Ryan, Lynn K. Shay and Paul R. Chernoff. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Physics Today and International Journal for Numerical Methods in Engineering.

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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