P.H.T. Schimit

437 total citations
31 papers, 309 citations indexed

About

P.H.T. Schimit is a scholar working on Public Health, Environmental and Occupational Health, Sociology and Political Science and Statistical and Nonlinear Physics. According to data from OpenAlex, P.H.T. Schimit has authored 31 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Public Health, Environmental and Occupational Health, 13 papers in Sociology and Political Science and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in P.H.T. Schimit's work include Mathematical and Theoretical Epidemiology and Ecology Models (16 papers), COVID-19 epidemiological studies (12 papers) and Opinion Dynamics and Social Influence (11 papers). P.H.T. Schimit is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (16 papers), COVID-19 epidemiological studies (12 papers) and Opinion Dynamics and Social Influence (11 papers). P.H.T. Schimit collaborates with scholars based in Brazil, United Kingdom and United States. P.H.T. Schimit's co-authors include L.H.A. Monteiro, Fábio Henrique Pereira, Domenica Gandini, Mark Broom, Sophie Vanwambeke, Sidnei Alves de Araújo, Eduardo Silva, Felicidade Mota Pereira and Jens Gustedt and has published in prestigious journals such as Expert Systems with Applications, Ecological Modelling and Physica A Statistical Mechanics and its Applications.

In The Last Decade

P.H.T. Schimit

26 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P.H.T. Schimit Brazil 11 125 120 74 67 56 31 309
Lorenzo Zino Italy 15 238 1.9× 95 0.8× 302 4.1× 136 2.0× 36 0.6× 69 648
Chung-Yuan Huang Taiwan 12 48 0.4× 45 0.4× 206 2.8× 62 0.9× 27 0.5× 53 431
Peng Wu China 12 195 1.6× 236 2.0× 57 0.8× 30 0.4× 113 2.0× 70 440
Philip E. Paré United States 13 274 2.2× 220 1.8× 320 4.3× 45 0.7× 59 1.1× 64 602
Alex Viguerie United States 9 204 1.6× 117 1.0× 42 0.6× 11 0.2× 35 0.6× 29 364
Qingchu Wu China 15 293 2.3× 239 2.0× 506 6.8× 87 1.3× 60 1.1× 43 644
L. D. Valdez Argentina 11 129 1.0× 106 0.9× 240 3.2× 61 0.9× 10 0.2× 20 412
Zhishuang Wang China 8 343 2.7× 102 0.8× 567 7.7× 158 2.4× 28 0.5× 10 774
Xiaofeng Luo China 11 134 1.1× 140 1.2× 75 1.0× 9 0.1× 60 1.1× 42 414

Countries citing papers authored by P.H.T. Schimit

Since Specialization
Citations

This map shows the geographic impact of P.H.T. Schimit'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 P.H.T. Schimit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P.H.T. Schimit more than expected).

Fields of papers citing papers by P.H.T. Schimit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.H.T. Schimit. 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 P.H.T. Schimit. The network helps show where P.H.T. Schimit may publish in the future.

Co-authorship network of co-authors of P.H.T. Schimit

This figure shows the co-authorship network connecting the top 25 collaborators of P.H.T. Schimit. A scholar is included among the top collaborators of P.H.T. Schimit 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 P.H.T. Schimit. P.H.T. Schimit 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.
2.
Schimit, P.H.T., et al.. (2025). Predictors of Fixation Probability on Complete Networks Involving Multiplayer Interactions Under Coordinated Movement Systems. Dynamic Games and Applications. 15(4). 1294–1316.
3.
Schimit, P.H.T., et al.. (2024). The effects of herding and dispersal behaviour on the evolution of cooperation on complete networks. Journal of Mathematical Biology. 89(5). 49–49. 1 indexed citations
4.
Pereira, Fábio Henrique, et al.. (2024). Spatial dynamics of COVID-19 in São Paulo: A cellular automata and GIS approach. Spatial and Spatio-temporal Epidemiology. 50. 100674–100674. 1 indexed citations
5.
Schimit, P.H.T., et al.. (2023). A model for herd behaviour based on a spatial public goods game. Physica A Statistical Mechanics and its Applications. 623. 128897–128897. 1 indexed citations
6.
Pereira, Felicidade Mota & P.H.T. Schimit. (2022). Spatial dynamics of dengue fever spreading for the coexistence of two serotypes with an application to the city of São Paulo, Brazil. Computer Methods and Programs in Biomedicine. 219. 106758–106758. 1 indexed citations
7.
Schimit, P.H.T., et al.. (2022). Good predictors for the fixation probability on complex networks of multi-player games using territorial interactions. Ecological Complexity. 51. 101017–101017. 6 indexed citations
8.
Pereira, Fábio Henrique, et al.. (2021). A deep learning based surrogate model for the parameter identification problem in probabilistic cellular automaton epidemic models. Computer Methods and Programs in Biomedicine. 205. 106078–106078. 13 indexed citations
9.
Vanwambeke, Sophie & P.H.T. Schimit. (2021). Tick bite risk resulting from spatially heterogeneous hazard, exposure and coping capacity. Ecological Complexity. 48. 100967–100967. 10 indexed citations
10.
Schimit, P.H.T.. (2020). A model based on cellular automata to estimate the social isolation impact on COVID-19 spreading in Brazil. Computer Methods and Programs in Biomedicine. 200. 105832–105832. 35 indexed citations
11.
Monteiro, L.H.A., Domenica Gandini, & P.H.T. Schimit. (2020). The influence of immune individuals in disease spread evaluated by cellular automaton and genetic algorithm. Computer Methods and Programs in Biomedicine. 196. 105707–105707. 19 indexed citations
12.
Schimit, P.H.T., et al.. (2019). Dynamics of multiplayer games on complex networks using territorial interactions. Physical review. E. 99(3). 32306–32306. 10 indexed citations
13.
Schimit, P.H.T., et al.. (2019). Disease spreading on populations structured by groups. Applied Mathematics and Computation. 353. 265–273. 14 indexed citations
14.
Schimit, P.H.T. & Fábio Henrique Pereira. (2017). Disease spreading in complex networks: A numerical study with Principal Component Analysis. Expert Systems with Applications. 97. 41–50. 34 indexed citations
15.
Schimit, P.H.T., et al.. (2014). The evolution of cooperation with different fitness functions using probabilistic cellular automata. Computational Management Science. 12(1). 35–43.
16.
Schimit, P.H.T., et al.. (2013). Cash transfer program and education investment: A model for social evolution. Communications in Nonlinear Science and Numerical Simulation. 19(3). 570–577. 7 indexed citations
17.
Schimit, P.H.T. & L.H.A. Monteiro. (2012). On estimating the basic reproduction number in distinct stages of a contagious disease spreading. Ecological Modelling. 240. 156–160. 8 indexed citations
18.
Schimit, P.H.T. & L.H.A. Monteiro. (2010). Who should wear mask against airborne infections? Altering the contact network for controlling the spread of contagious diseases. Ecological Modelling. 221(9). 1329–1332. 8 indexed citations
19.
Schimit, P.H.T. & L.H.A. Monteiro. (2009). On the basic reproduction number and the topological properties of the contact network: An epidemiological study in mainly locally connected cellular automata. Ecological Modelling. 220(7). 1034–1042. 53 indexed citations
20.
Gustedt, Jens & P.H.T. Schimit. (2008). Numerical results for generalized attachment models for the genesis of graphs. HAL (Le Centre pour la Communication Scientifique Directe).

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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