Shaun A. Forth

520 citations
14 papers · 271 · h-index 7

Impact in

Papers in

    • Numerical methods for differential equations 7
    • Advanced Optimization Algorithms Research 2
    • Advanced Numerical Methods in Computational Mathematics 4
    • Fluid Dynamics and Thin Films 2

Shaun A. Forth

13 papers receiving 254 citations

Peers

Shaun A. Forth
Comparison fields: 5 of 62
  • Numerical Analysis 52
  • Computational Theory and Mathematics 56
  • Computational Mechanics 63
  • Control and Systems Engineering 65
  • Hardware and Architecture 15
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M. Schlegel Germany
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Citations per field
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M. Schlegel · 1×
Citations per year

Countries citing papers authored by Shaun A. Forth

Since Specialization
Citations

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

Fields of papers citing papers by Shaun A. Forth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaun A. Forth. 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 Shaun A. Forth. The network helps show where Shaun A. Forth may publish in the future.

Co-authors

The 10 scholars most cited alongside Shaun A. Forth, 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 Shaun A. Forth Line = papers co-authored together Shaun A. Forth links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201298
2 200652
3 198937
4 199223
5 200519
6 200418
7
User Guide for MAD - A Matlab Automatic Differentiation Package, TOMLAB/MAD,Version 1.4 The Forward Mode.
20078
8
High-Level Interfaces for the MAD (Matlab Automatic Differentiation) Package.
20045
9 20054
10 20053
11 20212
12 20111
13 20181
14 20240

About Shaun A. Forth

Shaun A. Forth is a scholar working on Numerical Analysis, Computational Mechanics, Computational Theory and Mathematics, Control and Systems Engineering and Civil and Structural Engineering, having authored 14 papers that have together received 271 indexed citations. Recurring topics across this work include Numerical methods for differential equations (7 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Matrix Theory and Algorithms (3 papers), Structural Response to Dynamic Loads (2 papers), Fluid Dynamics and Thin Films (2 papers), Advanced Optimization Algorithms Research (2 papers), Numerical Methods and Algorithms (2 papers) and Solidification and crystal growth phenomena (2 papers). The work is most often cited by research in Numerical Analysis (52 citations), Computational Theory and Mathematics (56 citations), Computational Mechanics (63 citations), Control and Systems Engineering (65 citations) and Hardware and Architecture (15 citations). Shaun A. Forth has collaborated with scholars based in United Kingdom, United States and Ecuador. Frequent co-authors include A. A. Wheeler, L. F. Shampine, John D. Pryce, John Reid, Trevor J. Ringrose, Ning Qin, E.G. Pickering, Rachael Hazael, Bruce Christianson and Andreas Griewank. Their work appears in journals such as ACM Transactions on Mathematical Software, Optimization methods & software, Journal of Fluid Mechanics, International Journal of Protective Structures and International Journal for Numerical Methods in Fluids.

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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