J. J. Stoker

3.2k citations
20 papers · 1.1k indexed · 1 hit paper · h-index 11
Topics
Computational Geometry and Mesh Generation (3 papers)Ocean Waves and Remote Sensing (3 papers)Optimization and Variational Analysis (2 papers)
Partner nations
United StatesRussia

In The Last Decade

J. J. Stoker

17 papers receiving 944 citations

Hit Papers

Water Waves: The Mathematical Theory with Applications19572026198020031957250500750

Peers

J. J. Stoker
Comparison fields: 5 of 80
  • Computational Mechanics 364
  • Oceanography 293
  • Earth-Surface Processes 254
  • Atmospheric Science 183
  • Statistical and Nonlinear Physics 161
Replace Jon C. Luke with:
Jon C. Luke United States
W. G. Pritchard United States
J. W. Dold United Kingdom
George W. Platzman United States
E. V. Laitone United States
Robert L. Higdon United States
N. N. Yanenko Russia
Brian R. Seymour Canada
D. Porter United Kingdom
Marie-Odile Bristeau France
J. J. Stoker relative to Jon C. Luke United States Jon C. Luke's profile →
Citations per field
00.5×2.8×
Jon C. Luke · 1×
Citations per year

Countries citing papers authored by J. J. Stoker

Since Specialization
Citations

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

Fields of papers citing papers by J. J. Stoker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. J. Stoker

This figure shows the co-authorship network connecting the top 25 collaborators of J. J. Stoker. A scholar is included among the top collaborators of J. J. Stoker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. J. Stoker. J. J. Stoker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 73
3 8
4
Uniqueness theorems for some open and closed surfaces in three-space
3
5 1
6 27
7 1
8 10
9
Topics in non-linear elasticity
16
10 1
11 10
12 76
13 11
14 11
15
Water Waves: The Mathematical Theory with Applicationsbreakdown →
768
16 17
17 12
18 21
19 7
20 7

About J. J. Stoker

J. J. Stoker is a scholar working on Computer Graphics and Computer-Aided Design, Oceanography and Statistical and Nonlinear Physics, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (3 papers), Ocean Waves and Remote Sensing (3 papers) and Optimization and Variational Analysis (2 papers). The work is most often cited by research in Earth-Surface Processes (254 citations), Oceanography (293 citations) and Computational Mechanics (364 citations). J. J. Stoker has collaborated with scholars based in United States and Russia. Frequent co-authors include A. S. Peters, R. W. Dickey, Eugene Isaacson, Armin W. Troesch and Akira Kasahara. Their work appears in journals such as Proceedings of the National Academy of Sciences, Communications on Pure and Applied Mathematics and Tellus A Dynamic Meteorology and Oceanography.

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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