Patricia Román‐Román

595 total citations
37 papers, 435 citations indexed

About

Patricia Román‐Román is a scholar working on Modeling and Simulation, Molecular Biology and Finance. According to data from OpenAlex, Patricia Román‐Román has authored 37 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Modeling and Simulation, 12 papers in Molecular Biology and 9 papers in Finance. Recurrent topics in Patricia Román‐Román's work include Mathematical Biology Tumor Growth (14 papers), Mathematical and Theoretical Epidemiology and Ecology Models (9 papers) and Gene Regulatory Network Analysis (7 papers). Patricia Román‐Román is often cited by papers focused on Mathematical Biology Tumor Growth (14 papers), Mathematical and Theoretical Epidemiology and Ecology Models (9 papers) and Gene Regulatory Network Analysis (7 papers). Patricia Román‐Román collaborates with scholars based in Spain, Italy and France. Patricia Román‐Román's co-authors include Francisco Torres‐Ruiz, Virginia Giorno, D. Romero, Ramón Gutiérrez Jáimez, Sergio Roman‐Roman, Antonio Di Crescenzo and Alberto Barrera and has published in prestigious journals such as Energy, Journal of Theoretical Biology and Applied Mathematics and Computation.

In The Last Decade

Patricia Román‐Román

36 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patricia Román‐Román Spain 13 189 119 86 75 70 37 435
Francisco Torres‐Ruiz Spain 16 191 1.0× 122 1.0× 93 1.1× 76 1.0× 139 2.0× 49 567
Qian Guo China 14 308 1.6× 45 0.4× 47 0.5× 90 1.2× 26 0.4× 50 611
Ahmed Nafidi Spain 13 38 0.2× 38 0.3× 16 0.2× 50 0.7× 79 1.1× 42 442
R. McVinish Australia 12 68 0.4× 19 0.2× 31 0.4× 22 0.3× 59 0.8× 33 344
Jason Schweinsberg United States 14 22 0.1× 185 1.6× 88 1.0× 48 0.6× 146 2.1× 37 1.0k
Daniela Morale Italy 9 285 1.5× 79 0.7× 120 1.4× 41 0.5× 13 0.2× 21 508
Dang H. Nguyen United States 17 268 1.4× 15 0.1× 374 4.3× 52 0.7× 16 0.2× 45 653
Luisa Arlotti Italy 14 262 1.4× 91 0.8× 92 1.1× 155 2.1× 21 0.3× 39 631
David J. Warne Australia 11 73 0.4× 101 0.8× 25 0.3× 14 0.2× 55 0.8× 36 407

Countries citing papers authored by Patricia Román‐Román

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Román‐Román

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patricia Román‐Román. 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 Patricia Román‐Román. The network helps show where Patricia Román‐Román may publish in the future.

Co-authorship network of co-authors of Patricia Román‐Román

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Román‐Román. A scholar is included among the top collaborators of Patricia Román‐Román 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 Patricia Román‐Román. Patricia Román‐Román 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.
Barrera, Alberto, et al.. (2023). First Passage and First Exit Times for diffusion processes related to a general growth curve. Communications in Nonlinear Science and Numerical Simulation. 126. 107494–107494. 4 indexed citations
2.
Crescenzo, Antonio Di, et al.. (2022). Statistical analysis and first-passage-time applications of a lognormal diffusion process with multi-sigmoidal logistic mean. Statistical Papers. 64(5). 1391–1438. 5 indexed citations
3.
Román‐Román, Patricia, et al.. (2021). T-Growth Stochastic Model: Simulation and Inference via Metaheuristic Algorithms. Mathematics. 9(9). 959–959. 1 indexed citations
4.
Giorno, Virginia, et al.. (2020). Inference on an heteroscedastic Gompertz tumor growth model. Mathematical Biosciences. 328. 108428–108428. 8 indexed citations
5.
Román‐Román, Patricia, et al.. (2019). Hyperbolastic type-III diffusion process: Obtaining from the generalized Weibull diffusion process. Mathematical Biosciences & Engineering. 17(1). 814–833. 4 indexed citations
6.
Román‐Román, Patricia, et al.. (2017). A hyperbolastic type-I diffusion process: Parameter estimation by means of the firefly algorithm. Biosystems. 163. 11–22. 11 indexed citations
7.
Román‐Román, Patricia, et al.. (2017). Fitting real data by means of non-homogeneous log-normal diffusion processes. Statistics and Its Interface. 10(4). 585–600. 2 indexed citations
8.
Román‐Román, Patricia, et al.. (2016). Modeling tumor growth in the presence of a therapy with an effect on rate growth and variability by means of a modified Gompertz diffusion process. Journal of Theoretical Biology. 407. 1–17. 6 indexed citations
9.
Román‐Román, Patricia, et al.. (2014). More general problems on first-passage times for diffusion processes: A new version of the fptdApprox R package. Applied Mathematics and Computation. 244. 432–446. 5 indexed citations
10.
Giorno, Virginia, et al.. (2014). A Stochastic Model of Cancer Growth Subject to an Intermittent Treatment with Combined Effects: Reduction in Tumor Size and Rise in Growth Rate. Bulletin of Mathematical Biology. 76(11). 2711–2736. 8 indexed citations
11.
Giorno, Virginia, et al.. (2014). Estimating and determining the effect of a therapy on tumor dynamics by means of a modified Gompertz diffusion process. Journal of Theoretical Biology. 364. 206–219. 19 indexed citations
12.
Román‐Román, Patricia, et al.. (2013). Fitting dynamic growth models of biological phenomena from sample observations through Gaussian diffusion processes. Biosystems. 112(3). 284–291. 2 indexed citations
13.
Giorno, Virginia, et al.. (2013). On the effect of a therapy able to modify both the growth rates in a Gompertz stochastic model. Mathematical Biosciences. 245(1). 12–21. 18 indexed citations
14.
Román‐Román, Patricia, et al.. (2012). An R package for an efficient approximation of first-passage-time densities for diffusion processes based on the FPTL function. Applied Mathematics and Computation. 218(17). 8408–8428. 11 indexed citations
15.
Román‐Román, Patricia & Francisco Torres‐Ruiz. (2012). Inferring the effect of therapies on tumor growth by using diffusion processes. Journal of Theoretical Biology. 314. 34–56. 6 indexed citations
16.
Giorno, Virginia, et al.. (2011). Inferring the effect of therapy on tumors showing stochastic Gompertzian growth. Journal of Theoretical Biology. 276(1). 67–77. 37 indexed citations
17.
Giorno, Virginia, et al.. (2011). On the therapy effect for a stochastic growth Gompertz-type model. Mathematical Biosciences. 235(2). 148–160. 5 indexed citations
18.
Román‐Román, Patricia, et al.. (2008). The CDPYE environment: an interactive support for studying Probability and Statistics. 24(2). 37–42.
19.
Román‐Román, Patricia, et al.. (2006). APPROXIMATE AND GENERALIZED CONFIDENCE BANDS FOR SOME PARAMETRIC FUNCTIONS OF THE LOGNORMAL DIFFUSION PROCESS WITH EXOGENOUS FACTORS. Scientiae mathematicae Japonicae. 64(2). 313–329. 11 indexed citations
20.
Jáimez, Ramón Gutiérrez, et al.. (2006). A new Gompertz-type diffusion process with application to random growth. Mathematical Biosciences. 208(1). 147–165. 36 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Francisco Torres‐Ruiz Breakdown of academic impact, for papers by Qian Guo Breakdown of academic impact, for papers by Ahmed Nafidi Breakdown of academic impact, for papers by R. McVinish Breakdown of academic impact, for papers by Jason Schweinsberg Breakdown of academic impact, for papers by Daniela Morale Breakdown of academic impact, for papers by Dang H. Nguyen Breakdown of academic impact, for papers by Luisa Arlotti Breakdown of academic impact, for papers by David J. Warne
Rankless by CCL
2026