Pedro Gonnet

1.6k citations
31 papers · 972 indexed · h-index 16

Pedro Gonnet

29 papers receiving 936 citations

Peers

Pedro Gonnet
Comparison fields: 5 of 118
  • Numerical Analysis 57
  • Molecular Biology 437
  • Statistical and Nonlinear Physics 74
  • Computational Theory and Mathematics 91
  • Modeling and Simulation 26
Replace Dexuan Xie with:
Dexuan Xie United States
Y. C. Zhou United States
Faisal Saied United States
Takumi Washio Japan
Oliver Johnson United Kingdom
P. P. B. Eggermont United States
J.G. Blom Netherlands
Giovanni Samaey Belgium
Ross A. Lippert United States
Peter Robinson United Kingdom
Pedro Gonnet relative to Dexuan Xie United States Dexuan Xie's profile →
Citations per field
00.5×2.6×
Dexuan Xie · 1×
Citations per year

Countries citing papers authored by Pedro Gonnet

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Gonnet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Pedro Gonnet, 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 Pedro Gonnet Line = papers co-authored together Pedro Gonnet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20221
3 201937
4
SWIFT: SPH With Inter-dependent Fine-grained Tasking
201817
5 201373
6 20136
7
Stable multivariate rational interpolation for parameter-dependent aerospace models
20131
8 201211
9 201229
10 201119
11 20108
12 2010276
13 20097
14 200638
15 200429
16 20045
17 200426
18 200220
19 20010
20 200110

About Pedro Gonnet

Pedro Gonnet is a scholar working on Computational Mathematics, Numerical Analysis, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Computational Mechanics, having authored 31 papers that have together received 972 indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (5 papers), Electromagnetic Scattering and Analysis (4 papers), Protein Structure and Dynamics (3 papers), Scientific Research and Discoveries (3 papers), Iterative Methods for Nonlinear Equations (3 papers), Nanopore and Nanochannel Transport Studies (3 papers), Model Reduction and Neural Networks (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Numerical Analysis (57 citations), Molecular Biology (437 citations), Statistical and Nonlinear Physics (74 citations), Computational Theory and Mathematics (91 citations) and Modeling and Simulation (26 citations). Pedro Gonnet has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Petros Koumoutsakos, Jens Honoré Walther, Lloyd N. Trefethen, Markus Friberg, Mahamadou Faty, Alexander Röth, Peter von Rohr, Gastón H. Gonnet, Nicol N. Schraudolph and Yves Barral. Their work appears in journals such as Cell, Journal of Computational Physics, Journal of Computational Chemistry, Molecular Simulation and Computer Physics Communications.

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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