J. Grasman
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
-
- stochastic dynamics and bifurcation
Papers in
-
- stochastic dynamics and bifurcation 11
- Advanced Thermodynamics and Statistical Mechanics 8
-
- Ecosystem dynamics and resilience 13
- Co-authors
- Onno A. van Herwaarden (10 shared papers)Gerrit Van Straten (1 shared paper)M. Isabel P. de Lima (1 shared paper)E. J. M. Veling (5 shared papers)Bernard J. Matkowsky (2 shared papers)Huib E. de Swart (2 shared papers)Jolanda J. Wentzel (1 shared paper)Joop C. van Lenteren (1 shared paper)
- Journals
- Bulletin of Mathematical Biology (5 papers)Mathematical Biosciences (5 papers)Ecological Modelling (4 papers)PLoS ONE (4 papers)Journal of Mathematical Biology (3 papers)
- Partner nations
- NetherlandsUnited StatesNorway
In The Last Decade
J. Grasman
79 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 135
- Modeling and Simulation 207
- Statistical and Nonlinear Physics 468
- Numerical Analysis 120
- Computer Networks and Communications 350
- Public Health, Environmental and Occupational Health 320
Countries citing papers authored by J. Grasman
This map shows the geographic impact of J. Grasman'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 J. Grasman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Grasman more than expected).
Fields of papers citing papers by J. Grasman
This network shows the impact of papers produced by J. Grasman. 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 J. Grasman. The network helps show where J. Grasman may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Grasman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 228 | |
| 2 | 1994 | 135 | |
| 3 | 1999 | 112 | |
| 4 | 2000 | 94 | |
| 5 | 1999 | 82 | |
| 6 | 1995 | 80 | |
| 7 | 2001 | 73 | |
| 8 | 2002 | 53 | |
| 9 | 1977 | 46 | |
| 10 | 1979 | 44 | |
| 11 | 1993 | 42 | |
| 12 | 1994 | 38 | |
| 13 | 2005 | 35 | |
| 14 | 1998 | 31 | |
| 15 | 1976 | 27 | |
| 16 | 1987 | 26 | |
| 17 | 1978 | 25 | |
| 18 | 2013 | 24 | |
| 19 | 2011 | 22 | |
| 20 | On the birth of boundary layers | 1971 | 21 |
About J. Grasman
J. Grasman is a scholar working on Statistical and Nonlinear Physics, Global and Planetary Change, Modeling and Simulation, Numerical Analysis and Computer Networks and Communications, having authored 82 papers that have together received 1.7k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (14 papers), Ecosystem dynamics and resilience (13 papers), Mathematical and Theoretical Epidemiology and Ecology Models (13 papers), stochastic dynamics and bifurcation (11 papers), Evolution and Genetic Dynamics (9 papers), Advanced Thermodynamics and Statistical Mechanics (8 papers), Differential Equations and Numerical Methods (7 papers) and COVID-19 epidemiological studies (7 papers). The work is most often cited by research in Modeling and Simulation (207 citations), Statistical and Nonlinear Physics (468 citations), Numerical Analysis (120 citations), Computer Networks and Communications (350 citations) and Public Health, Environmental and Occupational Health (320 citations). J. Grasman has collaborated with scholars based in Netherlands, United States and Norway. Frequent co-authors include Onno A. van Herwaarden, Gerrit Van Straten, M. Isabel P. de Lima, E. J. M. Veling, Bernard J. Matkowsky, Huib E. de Swart, Jolanda J. Wentzel, Joop C. van Lenteren, Lia Hemerik and Andries P. Richter. Their work appears in journals such as Bulletin of Mathematical Biology, Mathematical Biosciences, Ecological Modelling, PLoS ONE and Journal of Mathematical Biology.
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.