Nathaniel Trask

1.6k total citations
51 papers, 1.1k citations indexed

About

Nathaniel Trask is a scholar working on Computational Mechanics, Mechanics of Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Nathaniel Trask has authored 51 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computational Mechanics, 19 papers in Mechanics of Materials and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Nathaniel Trask's work include Numerical methods in engineering (17 papers), Advanced Numerical Methods in Computational Mathematics (13 papers) and Electromagnetic Simulation and Numerical Methods (10 papers). Nathaniel Trask is often cited by papers focused on Numerical methods in engineering (17 papers), Advanced Numerical Methods in Computational Mathematics (13 papers) and Electromagnetic Simulation and Numerical Methods (10 papers). Nathaniel Trask collaborates with scholars based in United States, Germany and Greece. Nathaniel Trask's co-authors include David P. Schmidt, Eric C. Cyr, Ravi G. Patel, Mitchell Wood, Mauro Perego, Xiaozhe Hu, Alexandre M. Tartakovsky, Wenxiao Pan, Yuri Bazilevs and Masoud Behzadinasab and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Nathaniel Trask

49 papers receiving 1.0k citations

Peers

Nathaniel Trask
Comparison fields: 5 of 84
  • Computational Mechanics 578
  • Mechanics of Materials 353
  • Statistical and Nonlinear Physics 221
  • Mechanical Engineering 168
  • Electrical and Electronic Engineering 143
Replace Jean‐Sébastien Schotté with:
Jean‐Sébastien Schotté France
Azzeddine Soulaïmani Canada
K. Djidjeli United Kingdom
Philippe Angot France
Karen Veroy Germany
Kai Yang China
Junqiang Bai China
Marc Gerritsma Netherlands
Stefano Berrone Italy
Carl Ollivier‐Gooch Canada
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Citations per field, relative to Nathaniel Trask
Nathaniel Trask · 1×
Citations per year, relative to Nathaniel Trask
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Countries citing papers authored by Nathaniel Trask

Since Specialization
Citations

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

Fields of papers citing papers by Nathaniel Trask

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathaniel Trask

This figure shows the co-authorship network connecting the top 25 collaborators of Nathaniel Trask. A scholar is included among the top collaborators of Nathaniel Trask 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 Nathaniel Trask. Nathaniel Trask 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
# Work Indexed citations
1 5
2 0
3 14
4 3
5 0
6 14
7 1
8 3
9 2
10 2
11
Data-driven learning of Reynolds stress tensor using nonlocal models
1
12 11
13 29
14
GMLS-Nets: A Machine Learning Framework for Unstructured Data.
1
15 32
16 3
17 15
18 34
19 17
20 124

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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