Daniel Olmos‐Liceaga

479 total citations
22 papers, 317 citations indexed

About

Daniel Olmos‐Liceaga is a scholar working on Computer Networks and Communications, Public Health, Environmental and Occupational Health and Modeling and Simulation. According to data from OpenAlex, Daniel Olmos‐Liceaga has authored 22 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 6 papers in Public Health, Environmental and Occupational Health and 6 papers in Modeling and Simulation. Recurrent topics in Daniel Olmos‐Liceaga's work include Nonlinear Dynamics and Pattern Formation (8 papers), COVID-19 epidemiological studies (5 papers) and Differential Equations and Numerical Methods (4 papers). Daniel Olmos‐Liceaga is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (8 papers), COVID-19 epidemiological studies (5 papers) and Differential Equations and Numerical Methods (4 papers). Daniel Olmos‐Liceaga collaborates with scholars based in Mexico, Canada and South Korea. Daniel Olmos‐Liceaga's co-authors include Bernie D. Shizgal, Manuel Adrian Acuña‐Zegarra, Jorge X. Velasco‐Hernández, Sandro Filipe Nunes, Roberto A. Saenz and Jae-Hun Jung and has published in prestigious journals such as PLoS ONE, Journal of Theoretical Biology and Chaos Solitons & Fractals.

In The Last Decade

Daniel Olmos‐Liceaga

21 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Olmos‐Liceaga Mexico 7 198 94 89 78 73 22 317
Zeeshan Ali Pakistan 16 593 3.0× 156 1.7× 177 2.0× 29 0.4× 52 0.7× 36 701
Yong Han Kang South Korea 11 357 1.8× 24 0.3× 388 4.4× 77 1.0× 53 0.7× 44 709
Necibe Tuncer United States 14 235 1.2× 33 0.4× 207 2.3× 134 1.7× 21 0.3× 39 481
José Paulo Carvalho dos Santos Brazil 15 395 2.0× 187 2.0× 109 1.2× 14 0.2× 40 0.5× 29 667
Majid Erfanian Iran 13 178 0.9× 145 1.5× 62 0.7× 19 0.2× 32 0.4× 42 324
Anatoly A. Martynyuk Ukraine 5 93 0.5× 32 0.3× 116 1.3× 32 0.4× 28 0.4× 5 285
Manal Alqhtani Saudi Arabia 11 281 1.4× 82 0.9× 105 1.2× 15 0.2× 119 1.6× 24 367
Zain Ul Abadin Zafar Pakistan 13 318 1.6× 55 0.6× 219 2.5× 18 0.2× 56 0.8× 34 421
Nigar Ali Pakistan 14 276 1.4× 53 0.6× 206 2.3× 37 0.5× 51 0.7× 45 393
C. A. Vargas Mexico 7 281 1.4× 20 0.2× 344 3.9× 106 1.4× 49 0.7× 13 605

Countries citing papers authored by Daniel Olmos‐Liceaga

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Olmos‐Liceaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Olmos‐Liceaga. 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 Daniel Olmos‐Liceaga. The network helps show where Daniel Olmos‐Liceaga may publish in the future.

Co-authorship network of co-authors of Daniel Olmos‐Liceaga

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Olmos‐Liceaga. A scholar is included among the top collaborators of Daniel Olmos‐Liceaga 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 Daniel Olmos‐Liceaga. Daniel Olmos‐Liceaga 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.
Olmos‐Liceaga, Daniel, et al.. (2025). A numerical study of WENO approximations to sharp propagating fronts for reaction-diffusion systems. Applied Numerical Mathematics. 211. 1–16.
2.
Jung, Jae-Hun & Daniel Olmos‐Liceaga. (2023). A Chebyshev multidomain adaptive mesh method for reaction-diffusion equations. Applied Numerical Mathematics. 190. 283–302. 2 indexed citations
3.
Olmos‐Liceaga, Daniel, Sandro Filipe Nunes, & Roberto A. Saenz. (2023). Ex Vivo Experiments Shed Light on the Innate Immune Response from Influenza Virus. Bulletin of Mathematical Biology. 85(11). 115–115. 2 indexed citations
4.
Olmos‐Liceaga, Daniel, et al.. (2021). Effect of daily human movement on some characteristics of dengue dynamics. Mathematical Biosciences. 332. 108531–108531. 5 indexed citations
5.
Acuña‐Zegarra, Manuel Adrian, et al.. (2021). COVID-19 optimal vaccination policies: A modeling study on efficacy, natural and vaccine-induced immunity responses. Mathematical Biosciences. 337. 108614–108614. 79 indexed citations
6.
Acuña‐Zegarra, Manuel Adrian, et al.. (2020). Lockdown, relaxation, and acme period in COVID-19: A study of disease dynamics in Hermosillo, Sonora, Mexico. PLoS ONE. 15(12). e0242957–e0242957. 2 indexed citations
7.
Acuña‐Zegarra, Manuel Adrian, Daniel Olmos‐Liceaga, & Jorge X. Velasco‐Hernández. (2018). The role of animal grazing in the spread of Chagas disease. Journal of Theoretical Biology. 457. 19–28. 16 indexed citations
8.
Olmos‐Liceaga, Daniel, et al.. (2018). Numerical solutions of equations of cardiac wave propagation based on Chebyshev multidomain pseudospectral methods. Mathematics and Computers in Simulation. 151. 29–53. 1 indexed citations
9.
Olmos‐Liceaga, Daniel, et al.. (2017). Chebyshev multidomain pseudospectral method to solve cardiac wave equations with rotational anisotropy. Advances in Complex Systems. 9(4). 1850025–1850025. 3 indexed citations
10.
Olmos‐Liceaga, Daniel, et al.. (2017). Breaking of Spiral Waves Due to Obstacles. Journal of Advances in Mathematics and Computer Science. 24(6). 1–14. 3 indexed citations
11.
Olmos‐Liceaga, Daniel, et al.. (2017). Diffusion as a strategy for survival in an invasion predator–prey model. Natural Resource Modeling. 30(3). 1 indexed citations
12.
Olmos‐Liceaga, Daniel, et al.. (2015). A MATHEMATICAL MODEL FOR HUMAN AND ANIMAL LEPTOSPIROSIS. Journal of Biological Systems. 23(supp01). S55–S65. 21 indexed citations
13.
Olmos‐Liceaga, Daniel, et al.. (2015). On the Calculation of $$R_0$$ R 0 Using Submodels. Differential Equations and Dynamical Systems. 25(3). 481–497. 4 indexed citations
14.
Olmos‐Liceaga, Daniel, et al.. (2015). An implicit pseudospectral scheme to solve propagating fronts in reaction‐diffusion equations. Numerical Methods for Partial Differential Equations. 32(1). 86–105. 4 indexed citations
15.
16.
Olmos‐Liceaga, Daniel. (2011). Obstacles As Switches Between Different Cardiac Arrhythmias. Zenodo (CERN European Organization for Nuclear Research). 5(11). 519–529. 1 indexed citations
17.
Olmos‐Liceaga, Daniel. (2010). Reflection and attachment of spirals at obstacles for the Fitzhugh-Nagumo and Beeler-Reuter models. Physical Review E. 81(4). 41924–41924. 13 indexed citations
18.
Olmos‐Liceaga, Daniel & Bernie D. Shizgal. (2009). Pseudospectral method of solution of the Fitzhugh–Nagumo equation. Mathematics and Computers in Simulation. 79(7). 2258–2278. 50 indexed citations
19.
Olmos‐Liceaga, Daniel & Bernie D. Shizgal. (2008). Annihilation and reflection of spiral waves at a boundary for the Beeler-Reuter model. Physical Review E. 77(3). 31918–31918. 6 indexed citations
20.
Olmos‐Liceaga, Daniel & Bernie D. Shizgal. (2005). A pseudospectral method of solution of Fisher's equation. Journal of Computational and Applied Mathematics. 193(1). 219–242. 89 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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