Benjamin Ong

585 citations
19 papers · 385 · h-index 11

Impact in

Papers in

Benjamin Ong

19 papers receiving 350 citations

Peers

Benjamin Ong
Comparison fields: 5 of 45
  • Numerical Analysis 229
  • Computational Mathematics 10
  • Computational Mechanics 239
  • Computational Theory and Mathematics 108
  • Statistical and Nonlinear Physics 55
Replace Jacob B. Schroder with:
Jacob B. Schroder United States
Sabine Le Borne Germany
Tong-Xiang Gu China
Igor Kaporin Russia
Mario Arioli France
Wei-Pai Tang United States
Gunhild Lindskog Sweden
M. Arioli United Kingdom
Leslie V. Foster United States
Shao‐Liang Zhang Japan
Benjamin Ong relative to Jacob B. Schroder United States Jacob B. Schroder's profile →
Citations per field
00.5×1.5×
Jacob B. Schroder · 1×
Citations per year

Countries citing papers authored by Benjamin Ong

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Ong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Benjamin Ong, 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 Benjamin Ong Line = papers co-authored together Benjamin Ong links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201072
2 200958
3 202045
4 200936
5 201629
6 201227
7 201019
8 201417
9 202016
10 201116
11 201910
12 201610
13
Burning Issues with PROMETHEUS, the Canada's Wildfire Growth Simulator
20097
14 20146
15 20165
16 20125
17 20164
18 20212
19 20221

About Benjamin Ong

Benjamin Ong is a scholar working on Numerical Analysis, Computational Mechanics, Computational Theory and Mathematics, Electrical and Electronic Engineering and Statistical and Nonlinear Physics, having authored 19 papers that have together received 385 indexed citations. Recurring topics across this work include Numerical methods for differential equations (11 papers), Advanced Numerical Methods in Computational Mathematics (8 papers), Matrix Theory and Algorithms (6 papers), Electromagnetic Simulation and Numerical Methods (5 papers), Electromagnetic Scattering and Analysis (3 papers), Parallel Computing and Optimization Techniques (2 papers), Sparse and Compressive Sensing Techniques (2 papers) and Model Reduction and Neural Networks (2 papers). The work is most often cited by research in Numerical Analysis (229 citations), Computational Mathematics (10 citations), Computational Mechanics (239 citations), Computational Theory and Mathematics (108 citations) and Statistical and Nonlinear Physics (55 citations). Benjamin Ong has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Andrew Christlieb, Colin B. Macdonald, Jacob B. Schroder, Jing‐Mei Qiu, Ronald D. Haynes, Mark Iwen, Raymond J. Spiteri, Félix Kwok, Steven J. Ruuth and Robert D. Russell. Their work appears in journals such as SIAM Journal on Scientific Computing, Journal of Scientific Computing, Lecture notes in computational science and engineering, Mathematics of Computation and SIAM Journal on Matrix Analysis and Applications.

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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