Peter Percell

725 citations
23 papers · 526 · h-index 12

Impact in

Papers in

Peter Percell

21 papers receiving 457 citations

Peers

Peter Percell
Comparison fields: 5 of 67
  • Numerical Analysis 94
  • Computational Mechanics 216
  • Atmospheric Science 131
  • Health, Toxicology and Mutagenesis 94
  • Computational Theory and Mathematics 95
Replace Krassimir Georgiev with:
Krassimir Georgiev Bulgaria
N. Dinar Israel
Tzvetan Ostromsky Bulgaria
James Lottes United States
Sanghyun Lee United States
P. González Spain
Mohamed Jardak United States
Wen H. Chen United States
Nobuyuki Satofuka Japan
Peter Percell relative to Krassimir Georgiev Bulgaria Krassimir Georgiev's profile →
Citations per field
00.5×5.6×
Krassimir Georgiev · 1×
Citations per year

Countries citing papers authored by Peter Percell

Since Specialization
Citations

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

Fields of papers citing papers by Peter Percell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198092
2 201280
3 197966
4 197652
5
Steady State Optimization of Gas Pipeline Network Operation
198743
6 197835
7 197325
8 199025
9 202024
10 201520
11 201614
12 201511
13 19647
14 19857
15 19787
16 19806
17 20153
18 19813
19 19762
20 19761

About Peter Percell

Peter Percell is a scholar working on Computational Mechanics, Geometry and Topology, Health, Toxicology and Mutagenesis, Atmospheric Science and Applied Mathematics, having authored 23 papers that have together received 526 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (6 papers), Air Quality and Health Impacts (6 papers), Advanced Numerical Analysis Techniques (5 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Geometric and Algebraic Topology (4 papers), Vehicle emissions and performance (3 papers), Geometric Analysis and Curvature Flows (3 papers) and Mathematical Dynamics and Fractals (3 papers). The work is most often cited by research in Numerical Analysis (94 citations), Computational Mechanics (216 citations), Atmospheric Science (131 citations), Health, Toxicology and Mutagenesis (94 citations) and Computational Theory and Mathematics (95 citations). Peter Percell has collaborated with scholars based in United States, South Korea and Czechia. Frequent co-authors include Mary F. Wheeler, Michael J. Ryan, Jim Douglas, Todd Dupont, Ridgway Scott, Beata Czader, S. Kim, Daewon W. Byun, Fong Ngan and Bernhard Rappenglück. Their work appears in journals such as SIAM Journal on Numerical Analysis, Transactions of the American Mathematical Society, Geoscientific model development, Proceedings of the American Mathematical Society and Environmental Research Letters.

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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