Patrick De Leenheer

3.1k citations
66 papers · 2.0k indexed · h-index 24

Impact in

Papers in

Patrick De Leenheer

63 papers receiving 1.8k citations

Peers

Patrick De Leenheer
Comparison fields: 5 of 138
  • Modeling and Simulation 333
  • Virology 141
  • Public Health, Environmental and Occupational Health 719
  • Genetics 498
  • Control and Systems Engineering 377
Replace Gennady Bocharov with:
Gennady Bocharov Russia
Yuming Chen Canada
Parvaiz Ahmad Naik China
S. Blythe United Kingdom
Zhidong Teng China
Stavros Busenberg United States
James S. Muldowney Canada
Wanbiao Ma China
Jian Zu China
David M. Bortz United States
Patrick De Leenheer relative to Gennady Bocharov Russia Gennady Bocharov's profile →
Citations per field
00.5×3.6×
Gennady Bocharov · 1×
Citations per year

Countries citing papers authored by Patrick De Leenheer

Since Specialization
Citations

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

Fields of papers citing papers by Patrick De Leenheer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick De Leenheer. 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 Patrick De Leenheer. The network helps show where Patrick De Leenheer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20242
3 20192
4 201912
5 20185
6 20189
7 201713
8
Pattern formation in a generalized Keller-Segel model
20110
9 201115
10 200949
11 20099
12 200931
13 200836
14 200835
15 200817
16 200818
17 2007108
18 200627
19 200619
20 200523

About Patrick De Leenheer

Patrick De Leenheer is a scholar working on Modeling and Simulation, Genetics, Virology, Public Health, Environmental and Occupational Health and Geometry and Topology, having authored 66 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (24 papers), Evolution and Genetic Dynamics (23 papers), Evolutionary Game Theory and Cooperation (14 papers), Gene Regulatory Network Analysis (12 papers), Mathematical Biology Tumor Growth (9 papers), Advanced Differential Equations and Dynamical Systems (7 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Plant and animal studies (4 papers). The work is most often cited by research in Modeling and Simulation (333 citations), Virology (141 citations), Public Health, Environmental and Occupational Health (719 citations), Genetics (498 citations) and Control and Systems Engineering (377 citations). Patrick De Leenheer has collaborated with scholars based in United States, Italy and Belgium. Frequent co-authors include Hal L. Smith, Dirk Aeyels, Eduardo D. Sontag, David Angeli, Sergei S. Pilyugin, Vincent Traag, Paul Van Dooren, Stephen J. Hagen, N. G. Cogan and C. Connell McCluskey. Their work appears in journals such as Journal of Mathematical Biology, Systems & Control Letters, Mathematical Biosciences, Journal of Biological Dynamics and Discrete and Continuous Dynamical Systems - B.

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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