Peter Šimon

289 papers receiving 6.0k citations

Peter Šimon's Hit Papers

Mathematics of Epidemics on Networks 2017 · 294 citations
2940+3+6Years since publication50100150200250

Peers

Peter Šimon
Comparison fields: 5 of 187
  • Modeling and Simulation 525
  • Polymers and Plastics 955
  • Applied Mathematics 652
  • Statistical and Nonlinear Physics 704
  • Biomaterials 514
Replace Jianxin Zhou with:
Jianxin Zhou China
Keith B. Oldham Canada
W. Harmon Ray United States
Doraiswami Ramkrishna United States
David J. Evans United Kingdom
Mingliang Wang China
Ramón G. Rubio Spain
Wei Liu China
Qi Wang China
Kai Sundmacher Germany
Peter Šimon relative to Jianxin Zhou China Jianxin Zhou's profile →
Citations per field
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Jianxin Zhou · 1×
Citations per year

Countries citing papers authored by Peter Šimon

Since Specialization
Citations

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

Fields of papers citing papers by Peter Šimon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 300 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Walsh Series, An Introduction to Dyadic Harmonic Analysis
1990361
2 2004314
3
Mathematics of Epidemics on Networks
Hit paper breakdown →
2017294
4 2012197
5 2009173
6 2005156
7 2017108
8 201188
9 200180
10 200578
11 201677
12 197777
13 200576
14 200675
15 202072
16 200969
17 201069
18 200768
19 200467
20 201366

About Peter Šimon

Peter Šimon is a scholar working on Materials Chemistry, Organic Chemistry, Polymers and Plastics, Statistical and Nonlinear Physics and Applied Mathematics, having authored 300 papers that have together received 6.2k indexed citations. Recurring topics across this work include Thermal and Kinetic Analysis (54 papers), Chemical Thermodynamics and Molecular Structure (25 papers), Complex Network Analysis Techniques (23 papers), Polymer Science and PVC (22 papers), Opinion Dynamics and Social Influence (19 papers), Advanced Harmonic Analysis Research (18 papers), Nonlinear Dynamics and Pattern Formation (18 papers) and COVID-19 epidemiological studies (14 papers). The work is most often cited by research in Modeling and Simulation (525 citations), Polymers and Plastics (955 citations), Applied Mathematics (652 citations), Statistical and Nonlinear Physics (704 citations) and Biomaterials (514 citations). Peter Šimon has collaborated with scholars based in Slovakia, Hungary and United Kingdom. Frequent co-authors include István Z. Kiss, Zuzana Cibulková, Joel C. Miller, Ferenc Schipp, William R. Wade, Tibor Dubaj, E. Jóna, L. Valko, Miroslav Veverka and Peter Lehocký. Their work appears in journals such as Journal of Thermal Analysis and Calorimetry, Polymer Degradation and Stability, Thermochimica Acta, Sensors and Actuators B Chemical and Food Chemistry.

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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