Gergely Röst

2.5k total citations
97 papers, 1.5k citations indexed

About

Gergely Röst is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Gergely Röst has authored 97 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Public Health, Environmental and Occupational Health, 48 papers in Modeling and Simulation and 26 papers in Genetics. Recurrent topics in Gergely Röst's work include Mathematical and Theoretical Epidemiology and Ecology Models (51 papers), COVID-19 epidemiological studies (38 papers) and Evolution and Genetic Dynamics (26 papers). Gergely Röst is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (51 papers), COVID-19 epidemiological studies (38 papers) and Evolution and Genetic Dynamics (26 papers). Gergely Röst collaborates with scholars based in Hungary, Canada and United Kingdom. Gergely Röst's co-authors include Jian Wu, Zsolt Vizi, Attila Dénes, Eduardo Liz, Seyed M. Moghadas, Ferenc A. Bartha, Tamás Tekeli, Péter Boldog, Maria Vittoria Barbarossa and Yukihiko Nakata and has published in prestigious journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Gergely Röst

92 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gergely Röst Hungary 22 820 645 343 258 255 97 1.5k
Calistus N. Ngonghala United States 22 717 0.9× 808 1.3× 539 1.6× 214 0.8× 137 0.5× 50 1.6k
Jian Zu China 26 1.1k 1.4× 1.1k 1.6× 210 0.6× 426 1.7× 282 1.1× 81 2.3k
Nico Stollenwerk Portugal 22 828 1.0× 1.1k 1.7× 604 1.8× 285 1.1× 221 0.9× 95 1.7k
Gilberto González‐Parra United States 21 930 1.1× 722 1.1× 333 1.0× 157 0.6× 227 0.9× 105 1.5k
Pieter Trapman Sweden 16 751 0.9× 395 0.6× 388 1.1× 204 0.8× 190 0.7× 37 1.4k
M. Gabriela M. Gomes Portugal 27 761 0.9× 766 1.2× 598 1.7× 379 1.5× 821 3.2× 81 2.3k
Julien Arino Canada 23 1.6k 2.0× 1.4k 2.1× 542 1.6× 655 2.5× 445 1.7× 64 2.3k
Philip D. O’Neill United Kingdom 23 818 1.0× 423 0.7× 259 0.8× 204 0.8× 483 1.9× 78 1.7k
Babak Pourbohloul Canada 19 960 1.2× 451 0.7× 309 0.9× 147 0.6× 716 2.8× 31 2.1k
Rafael J. Villanueva Spain 21 536 0.7× 378 0.6× 147 0.4× 123 0.5× 139 0.5× 148 1.4k

Countries citing papers authored by Gergely Röst

Since Specialization
Citations

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

Fields of papers citing papers by Gergely Röst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gergely Röst

This figure shows the co-authorship network connecting the top 25 collaborators of Gergely Röst. A scholar is included among the top collaborators of Gergely Röst 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 Gergely Röst. Gergely Röst 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.
Scarabel, Francesca, et al.. (2025). Bistability and complex bifurcation diagrams generated by waning and boosting of immunity. Journal of Mathematical Biology. 91(3). 30–30. 1 indexed citations
2.
Röst, Gergely, et al.. (2025). Reproduction numbers for epidemiological models with realistic age structure (RAS models). Advances in Continuous and Discrete Models. 2025(1).
3.
Röst, Gergely, et al.. (2023). Dynamics of herpes and chlamydia co-infection in a population. Discrete and Continuous Dynamical Systems - B. 28(8). 4366–4398. 1 indexed citations
4.
Bartha, Ferenc A., et al.. (2022). In Silico Evaluation of Paxlovid’s Pharmacometrics for SARS-CoV-2: A Multiscale Approach. Viruses. 14(5). 1103–1103. 8 indexed citations
5.
Reguly, István Z., János Juhász, György Cserey, et al.. (2022). Microsimulation based quantitative analysis of COVID-19 management strategies. PLoS Computational Biology. 18(1). e1009693–e1009693. 23 indexed citations
6.
Han, Renji, et al.. (2021). A hybrid PDE–ABM model for viral dynamics with application to SARS-CoV-2 and influenza. Royal Society Open Science. 8(11). 210787–210787. 15 indexed citations
7.
Barbarossa, Maria Vittoria, et al.. (2021). Fleeing lockdown and its impact on the size of epidemic outbreaks in the source and target regions – a COVID-19 lesson. Scientific Reports. 11(1). 9233–9233. 4 indexed citations
8.
Dénes, Attila, et al.. (2021). Global analysis of a cancer model with drug resistance due to Lamarckian induction and microvesicle transfer. Journal of Theoretical Biology. 527. 110812–110812. 5 indexed citations
9.
Röst, Gergely, et al.. (2020). Periodic Orbits and Global Stability for a Discontinuous SIR Model with Delayed Control. Qualitative Theory of Dynamical Systems. 19(2). 3 indexed citations
10.
Karsai, Márton, Júlia Koltai, Orsolya Vásárhelyi, & Gergely Röst. (2020). Hungary in Mask/MASZK in Hungary. Corvinus Research Archive (Corvinus University of Budapest). 139–146. 9 indexed citations
11.
Nah, Kyeongah, F. M. G. Magpantay, Ákos Bede‐Fazekas, et al.. (2019). Assessing systemic and non-systemic transmission risk of tick-borne encephalitis virus in Hungary. PLoS ONE. 14(6). e0217206–e0217206. 21 indexed citations
12.
Győri, István, Yukihiko Nakata, & Gergely Röst. (2018). Unbounded and blow-up solutions for a delay logistic equation with positive feedback. SZTE Publicatio Repozitórium (University of Szeged). 5 indexed citations
13.
Röst, Gergely, et al.. (2016). Spatially heterogeneous populations with mixed negative and positive local density dependence. Theoretical Population Biology. 109. 6–15. 4 indexed citations
14.
Nakata, Yukihiko & Gergely Röst. (2015). Global dynamics of a delay differential system of a two-patch SIS-model with transport-related infections. Mathematica Bohemica. 140(2). 171–193. 1 indexed citations
15.
Barbarossa, Maria Vittoria & Gergely Röst. (2015). Immuno-epidemiology of a population structured by immune status: a mathematical study of waning immunity and immune system boosting. Journal of Mathematical Biology. 71(6-7). 1737–1770. 40 indexed citations
16.
Röst, Gergely, et al.. (2014). Large number of endemic equilibria for disease transmission models in patchy environment. SZTE Publicatio Repozitórium (University of Szeged). 3 indexed citations
17.
Nakata, Yukihiko & Gergely Röst. (2013). Global Analysis for Spread of Infectious Diseases via Transportation Networks. 1 indexed citations
18.
Liu, Maoxing, et al.. (2013). SIS model on homogeneous networks with threshold type delayed contact reduction. Computers & Mathematics with Applications. 66(9). 1534–1546. 10 indexed citations
19.
Alexander, Murray E., Zhilan Feng, Michael Gardam, et al.. (2007). Emergence of drug resistance: implications for antiviral control of pandemic influenza. Proceedings of the Royal Society B Biological Sciences. 274(1619). 1675–1684. 67 indexed citations
20.
Röst, Gergely & Jian Wu. (2007). Domain-decomposition method for the global dynamics of delay differential equations with unimodal feedback. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 463(2086). 2655–2669. 48 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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