Bob W. Kooi

4.8k total citations
133 papers, 3.5k citations indexed

About

Bob W. Kooi is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Sociology and Political Science. According to data from OpenAlex, Bob W. Kooi has authored 133 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Public Health, Environmental and Occupational Health, 73 papers in Genetics and 33 papers in Sociology and Political Science. Recurrent topics in Bob W. Kooi's work include Mathematical and Theoretical Epidemiology and Ecology Models (86 papers), Evolution and Genetic Dynamics (72 papers) and Evolutionary Game Theory and Cooperation (32 papers). Bob W. Kooi is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (86 papers), Evolution and Genetic Dynamics (72 papers) and Evolutionary Game Theory and Cooperation (32 papers). Bob W. Kooi collaborates with scholars based in Netherlands, Portugal and Germany. Bob W. Kooi's co-authors include S.A.L.M. Kooijman, Martin P. Boer, Maíra Aguiar, Nico Stollenwerk, George A.K. van Voorn, Wolf M. Mooij, Tineke A. Troost, Matthijs Vos, Donald L. DeAngelis and Matty P. Berg and has published in prestigious journals such as Ecology, Water Research and The American Naturalist.

In The Last Decade

Bob W. Kooi

132 papers receiving 3.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bob W. Kooi Netherlands 33 1.6k 1.3k 763 526 517 133 3.5k
Frithjof Lutscher Canada 28 1.6k 1.0× 1.2k 1.0× 702 0.9× 401 0.8× 405 0.8× 107 2.9k
Roger Arditi France 35 2.8k 1.7× 2.6k 2.0× 1.3k 1.7× 711 1.4× 451 0.9× 78 5.0k
Horst Malchow Germany 30 2.1k 1.3× 1.6k 1.2× 414 0.5× 456 0.9× 636 1.2× 94 3.1k
Sergei Petrovskii United Kingdom 40 3.1k 1.9× 2.4k 1.8× 961 1.3× 738 1.4× 1.3k 2.6× 164 5.4k
Luděk Berec Czechia 27 1.6k 1.0× 1.7k 1.3× 1.5k 1.9× 691 1.3× 734 1.4× 71 4.2k
W. S. C. Gurney United Kingdom 38 2.1k 1.3× 1.6k 1.2× 1.5k 2.0× 606 1.2× 945 1.8× 78 4.9k
Joanna Gascoigne United Kingdom 11 747 0.5× 817 0.6× 851 1.1× 328 0.6× 640 1.2× 15 2.2k
Frank M. Hilker Germany 26 1.4k 0.9× 1.3k 1.0× 453 0.6× 561 1.1× 296 0.6× 79 2.2k
Michael G. Neubert United States 31 982 0.6× 883 0.7× 1.6k 2.1× 327 0.6× 958 1.9× 77 4.0k
David Alonso Spain 26 580 0.4× 758 0.6× 1.3k 1.7× 407 0.8× 565 1.1× 64 3.5k

Countries citing papers authored by Bob W. Kooi

Since Specialization
Citations

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

Fields of papers citing papers by Bob W. Kooi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bob W. Kooi. 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 Bob W. Kooi. The network helps show where Bob W. Kooi may publish in the future.

Co-authorship network of co-authors of Bob W. Kooi

This figure shows the co-authorship network connecting the top 25 collaborators of Bob W. Kooi. A scholar is included among the top collaborators of Bob W. Kooi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bob W. Kooi. Bob W. Kooi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Aguiar, Maíra, et al.. (2024). Bifurcation analysis of a two infection SIR-SIR epidemic model with temporary immunity and disease enhancement. Nonlinear Dynamics. 112(15). 13621–13639. 4 indexed citations
2.
Srivastav, Akhil Kumar, et al.. (2024). Beyond the biting - limited impact of explicit mosquito dynamics in dengue models. BMC Infectious Diseases. 24(1). 1090–1090. 1 indexed citations
3.
4.
Kooijman, S.A.L.M., Konstadia Lika, Starrlight Augustine, Nina Marn, & Bob W. Kooi. (2020). The energetic basis of population growth in animal kingdom. Ecological Modelling. 428. 109055–109055. 20 indexed citations
5.
Dutta, Partha Sharathi, Bob W. Kooi, & Ulrike Feudel. (2017). The impact of a predator on the outcome of competition in the three-trophic food web. Journal of Theoretical Biology. 417. 28–42. 5 indexed citations
6.
Pennekamp, Frank, Owen L. Petchey, Jean‐Christophe Poggiale, et al.. (2016). The practice of prediction: What can ecologists learn from applied, ecology-related fields?. Ecological Complexity. 32. 156–167. 22 indexed citations
7.
Stollenwerk, Nico, et al.. (2016). Stochastic Hopf and torus bifurcations in population biology. AIP conference proceedings. 1738. 390012–390012. 1 indexed citations
8.
Gustavsson, Anna‐Karin, David D. van Niekerk, Caroline B. Adiels, et al.. (2014). Allosteric regulation of phosphofructokinase controls the emergence of glycolytic oscillations in isolated yeast cells. FEBS Journal. 281(12). 2784–2793. 32 indexed citations
9.
Lankelma, Jan, et al.. (2013). A new mathematical pharmacodynamic model of clonogenic cancer cell death by doxorubicin. Journal of Pharmacokinetics and Pharmacodynamics. 40(4). 513–525. 7 indexed citations
10.
Niekerk, David D. van, et al.. (2012). From steady‐state to synchronized yeast glycolytic oscillations I: model construction. FEBS Journal. 279(16). 2810–2822. 28 indexed citations
11.
Kooi, Bob W., et al.. (2008). Model analysis of a simple aquatic ecosystems with sublethal toxic effects. Mathematical Biosciences & Engineering. 5(4). 771–787. 6 indexed citations
12.
Voorn, George A.K. van, Lia Hemerik, Martin P. Boer, & Bob W. Kooi. (2007). Heteroclinic orbits indicate overexploitation in predator–prey systems with a strong Allee effect. Mathematical Biosciences. 209(2). 451–469. 143 indexed citations
13.
Bruggeman, Jorn, Hans Burchard, Bob W. Kooi, & B.P. Sommeijer. (2007). A second-order, unconditionally positive, mass-conserving integration scheme for biochemical systems. Applied Numerical Mathematics. 57(1). 36–58. 24 indexed citations
14.
Kooijman, S.A.L.M., J. Grasman, & Bob W. Kooi. (2007). A new class of non-linear stochastic population models with mass conservation. Mathematical Biosciences. 210(2). 378–394. 14 indexed citations
15.
Kooi, Bob W., et al.. (2004). Yeast glycolytic oscillations that are not controlled by a single oscillophore: a new definition of oscillophore strength. Journal of Theoretical Biology. 232(3). 385–398. 22 indexed citations
16.
Kuijper, Lothar D. J., Bob W. Kooi, Thomas R. Anderson, & S.A.L.M. Kooijman. (2004). Stoichiometry and food-chain dynamics. Theoretical Population Biology. 66(4). 323–339. 24 indexed citations
17.
Kooi, Bob W. & Martin P. Boer. (2003). Chaotic behaviour of a predator-prey system. Socio-Environmental Systems Modeling. 10. 259–272. 5 indexed citations
18.
Kooijman, S.A.L.M., Pierre Auger, Jean‐Christophe Poggiale, & Bob W. Kooi. (2003). Quantitative steps in symbiogenesis and the evolution of homeostasis. Biological reviews/Biological reviews of the Cambridge Philosophical Society. 78(3). 435–463. 26 indexed citations
19.
Kooi, Bob W.. (2001). Iteroparous Reproduction Strategies and Population Dynamics. Bulletin of Mathematical Biology. 63(4). 769–794. 4 indexed citations
20.
Kooi, Bob W. & S.A.L.M. Kooijman. (1994). The Transient Behaviour of Food Chains in Chemostats. Journal of Theoretical Biology. 170(1). 87–94. 19 indexed citations

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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