Peter Monk

12.7k citations
225 papers · 6.8k · h-index 48

Impact in

Papers in

Peter Monk

216 papers receiving 6.1k citations

Peers

Peter Monk
Comparison fields: 5 of 105
  • Mathematical Physics 2.4k
  • Computational Mechanics 2.5k
  • Mechanics of Materials 2.7k
  • Atomic and Molecular Physics, and Optics 2.1k
  • Numerical Analysis 311
Replace Jean-Claude Nédélec with:
Jean-Claude Nédélec France
Habib Ammari France
Gang Bao United States
Robert V. Kohn United States
Ralf Hiptmair Switzerland
Leszek Demkowicz United States
Stefan Sauter Switzerland
R. E. Kleinman United States
Hyeonbae Kang South Korea
Douglas N. Arnold United States
Peter Monk relative to Jean-Claude Nédélec France Jean-Claude Nédélec's profile →
Citations per field
00.5×1.5×2.3×
Jean-Claude Nédélec · 1×
Citations per year

Countries citing papers authored by Peter Monk

Since Specialization
Citations

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

Fields of papers citing papers by Peter Monk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 225 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998275
2 2000256
3 1998195
4 1999174
5 2011161
6 2006156
7 1988139
8 1986137
9 1992135
10 1994133
11 2002115
12 1989108
13 2000103
14 1992102
15 2010102
16 200589
17 199189
18 201086
19 198585
20 200285

About Peter Monk

Peter Monk is a scholar working on Electrical and Electronic Engineering, Mechanics of Materials, Mathematical Physics, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 225 papers that have together received 6.8k indexed citations. Recurring topics across this work include Electromagnetic Simulation and Numerical Methods (81 papers), Numerical methods in inverse problems (78 papers), Microwave Imaging and Scattering Analysis (64 papers), Advanced Numerical Methods in Computational Mathematics (61 papers), Electromagnetic Scattering and Analysis (60 papers), Numerical methods in engineering (57 papers), Ultrasonics and Acoustic Wave Propagation (30 papers) and Advanced Mathematical Modeling in Engineering (22 papers). The work is most often cited by research in Mathematical Physics (2.4k citations), Computational Mechanics (2.5k citations), Mechanics of Materials (2.7k citations), Atomic and Molecular Physics, and Optics (2.1k citations) and Numerical Analysis (311 citations). Peter Monk has collaborated with scholars based in United States, Finland and France. Frequent co-authors include David Colton, Francis Collino, Fioralba Cakoni, Endre Süli, Tomi Huttunen, Jiguang Sun, Joe Coyle, Simon N. Chandler‐Wilde, Daqing Wang and Andreas Kirsch. Their work appears in journals such as Inverse Problems, Journal of Computational and Applied Mathematics, SIAM Journal on Numerical Analysis, SIAM Journal on Applied Mathematics and SIAM Journal on Scientific Computing.

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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