Gerard R. Richter

1.2k citations
27 papers · 880 indexed · h-index 14
Topics
Advanced Numerical Methods in Computational Mathematics (15 papers)Advanced Mathematical Modeling in Engineering (13 papers)Numerical methods in inverse problems (8 papers)
Partner nations
United StatesNetherlands

In The Last Decade

Gerard R. Richter

25 papers receiving 739 citations

Peers

Gerard R. Richter
Comparison fields: 5 of 48
  • Computational Mechanics 437
  • Electrical and Electronic Engineering 272
  • Numerical Analysis 206
  • Computational Theory and Mathematics 194
  • Mathematical Physics 190
Replace A. K. Aziz with:
A. K. Aziz United States
Paola Pietra Italy
Weifu Fang United States
Binghui Guo United States
Euan A. Spence United Kingdom
Gerhard Starke Germany
Johannes Elschner Germany
R. P. Kanwal United States
Rolf Leis Germany
E. Meister Germany
Gerard R. Richter relative to A. K. Aziz United States A. K. Aziz's profile →
Citations per field
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A. K. Aziz · 1×
Citations per year

Countries citing papers authored by Gerard R. Richter

Since Specialization
Citations

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

Fields of papers citing papers by Gerard R. Richter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerard R. Richter. 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 Gerard R. Richter. The network helps show where Gerard R. Richter may publish in the future.

Co-authorship network of co-authors of Gerard R. Richter

This figure shows the co-authorship network connecting the top 25 collaborators of Gerard R. Richter. A scholar is included among the top collaborators of Gerard R. Richter 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 Gerard R. Richter. Gerard R. Richter 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 85
2 1
3 4
4 28
5 6
6 3
7 14
8 111
9 13
10 0
11 24
12 154
13 56
14 8
15 136
16 16
17 18
18 0
19 50
20 1

About Gerard R. Richter

Gerard R. Richter is a scholar working on Numerical Analysis, Mathematical Physics and Computational Mechanics, having authored 27 papers that have together received 880 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (15 papers), Advanced Mathematical Modeling in Engineering (13 papers) and Numerical methods in inverse problems (8 papers). The work is most often cited by research in Numerical Analysis (206 citations), Mathematical Physics (190 citations) and Computational Mechanics (437 citations). Gerard R. Richter has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Richard S. Falk, Ping Sheng, Kirk E. Jordan, Peter Monk, Mark Schwabacher, Haym Hirsh and Thomas Ellman. Their work appears in journals such as Journal of Computational Physics, Mathematics of Computation and SIAM Journal on Numerical Analysis.

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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