Attila Dénes

998 total citations
32 papers, 549 citations indexed

About

Attila Dénes is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Attila Dénes has authored 32 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Modeling and Simulation, 18 papers in Public Health, Environmental and Occupational Health and 11 papers in Infectious Diseases. Recurrent topics in Attila Dénes's work include COVID-19 epidemiological studies (16 papers), Mathematical and Theoretical Epidemiology and Ecology Models (16 papers) and Evolution and Genetic Dynamics (9 papers). Attila Dénes is often cited by papers focused on COVID-19 epidemiological studies (16 papers), Mathematical and Theoretical Epidemiology and Ecology Models (16 papers) and Evolution and Genetic Dynamics (9 papers). Attila Dénes collaborates with scholars based in Hungary, Egypt and Japan. Attila Dénes's co-authors include Gergely Röst, Zsolt Vizi, Tamás Tekeli, Ferenc A. Bartha, Péter Boldog, Abba B. Gumel, Maria Vittoria Barbarossa, Gábor Kiss, Yukihiko Nakata and Attila Juhász and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Attila Dénes

30 papers receiving 523 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Attila Dénes Hungary 11 359 241 176 96 60 32 549
Nita Madhav United States 9 112 0.3× 237 1.0× 127 0.7× 70 0.7× 19 0.3× 12 467
Kris V. Parag United Kingdom 14 460 1.3× 237 1.0× 114 0.6× 139 1.4× 79 1.3× 38 726
Inga Holmdahl United States 10 260 0.7× 130 0.5× 167 0.9× 64 0.7× 10 0.2× 13 566
Natasha Wenzel United States 8 287 0.8× 368 1.5× 119 0.7× 45 0.5× 16 0.3× 12 582
Dina Mistry United States 10 413 1.2× 265 1.1× 178 1.0× 84 0.9× 18 0.3× 13 660
Chaeshin Chu South Korea 12 123 0.3× 179 0.7× 129 0.7× 40 0.4× 23 0.4× 49 443
Umar Tasiu Mustapha Cyprus 11 355 1.0× 113 0.5× 208 1.2× 46 0.5× 43 0.7× 23 462
Mircea T. Sofonea France 11 200 0.6× 275 1.1× 92 0.5× 45 0.5× 68 1.1× 36 601
Max S. Y. Lau United States 12 413 1.2× 252 1.0× 102 0.6× 63 0.7× 50 0.8× 23 631
Joel Hellewell United Kingdom 9 285 0.8× 261 1.1× 137 0.8× 88 0.9× 15 0.3× 19 540

Countries citing papers authored by Attila Dénes

Since Specialization
Citations

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

Fields of papers citing papers by Attila Dénes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Attila Dénes

This figure shows the co-authorship network connecting the top 25 collaborators of Attila Dénes. A scholar is included among the top collaborators of Attila Dénes 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 Attila Dénes. Attila Dénes 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.
Dénes, Attila, et al.. (2025). Dynamical Analysis of an HIV Infection Model Including Quiescent Cells and Immune Response. Mathematical Methods in the Applied Sciences. 48(15). 14301–14315.
2.
Dénes, Attila, et al.. (2023). Stability and Threshold Dynamics in a Seasonal Mathematical Model for Measles Outbreaks with Double-Dose Vaccination. Mathematics. 11(8). 1791–1791. 12 indexed citations
3.
Dénes, Attila, et al.. (2023). Global dynamics of a compartmental model for the spread of Nipah virus. Heliyon. 9(9). e19682–e19682. 10 indexed citations
4.
Dénes, Attila, et al.. (2023). Global Dynamics of a Within-Host Model for Usutu Virus. Computation. 11(11). 226–226. 3 indexed citations
5.
Dénes, Attila, et al.. (2023). Global dynamics of a compartmental model to assess the effect of transmission from deceased. Mathematical Biosciences. 364. 109059–109059. 5 indexed citations
6.
Dénes, Attila, et al.. (2022). A mathematical model for the spread of Varroa mites in honeybee populations: two simulation scenarios with seasonality. Heliyon. 8(9). e10648–e10648. 2 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.
Dénes, Attila, et al.. (2021). A seasonal model to assess intervention strategies for preventing periodic recurrence of Lassa fever. Heliyon. 7(8). e07760–e07760. 16 indexed citations
10.
Dénes, Attila, et al.. (2021). Threshold Dynamics in a Model for Zika Virus Disease with Seasonality. Bulletin of Mathematical Biology. 83(4). 27–27. 13 indexed citations
11.
Dénes, Attila, et al.. (2021). A mathematical model for Lassa fever transmission dynamics in a seasonal environment with a view to the 2017–20 epidemic in Nigeria. Nonlinear Analysis Real World Applications. 60. 103310–103310. 40 indexed citations
12.
Boldog, Péter, Tamás Tekeli, Zsolt Vizi, et al.. (2020). Risk Assessment of Novel Coronavirus COVID-19 Outbreaks Outside China. Journal of Clinical Medicine. 9(2). 571–571. 180 indexed citations
13.
Dénes, Attila, et al.. (2019). Impact of weather seasonality and sexual transmission on the spread of Zika fever. Scientific Reports. 9(1). 17055–17055. 23 indexed citations
14.
Dénes, Attila & Abba B. Gumel. (2019). Modeling the impact of quarantine during an outbreak of Ebola virus disease. Infectious Disease Modelling. 4. 12–27. 60 indexed citations
15.
Dénes, Attila, et al.. (2017). Global dynamics of a mathematical model for the possible re-emergence of polio. Mathematical Biosciences. 293. 64–74. 13 indexed citations
16.
Dénes, Attila, Yoshiaki Muroya, & Gergely Röst. (2016). Global stability of a multistrain SIS model with superinfection. Mathematical Biosciences & Engineering. 13(6). 4–4. 4 indexed citations
17.
Barbarossa, Maria Vittoria, Attila Dénes, Gábor Kiss, et al.. (2015). Transmission Dynamics and Final Epidemic Size of Ebola Virus Disease Outbreaks with Varying Interventions. PLoS ONE. 10(7). e0131398–e0131398. 48 indexed citations
18.
Dénes, Attila & Gergely Röst. (2014). Global dynamics for the spread of ectoparasite-borne diseases. Nonlinear Analysis Real World Applications. 18. 100–107. 5 indexed citations
19.
Dénes, Attila, et al.. (2011). Attractors and basins of dynamical systems. Electronic journal of qualitative theory of differential equations. 1–11. 2 indexed citations
20.
Dénes, Attila, et al.. (2008). BIOCHEMICAL TESTS USED FOR IDENTIFICATION OF BORDETELLA BRONCHISEPTICA. Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca Veterinary Medicine. 63.

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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