Iván Area
Impact in
- Modeling and Simulation top 0.1%
- Fractional Differential Equations Solutions
- COVID-19 epidemiological studies
- Applied Mathematics top 0.5%
- Mathematical functions and polynomials
- Nonlinear Differential Equations Analysis
Papers in
-
- Mathematical functions and polynomials 74
-
- Fractional Differential Equations Solutions 32
- COVID-19 epidemiological studies 12
- Co-authors
- Juan J. Nieto (31 shared papers)Eduardo Godoy (55 shared papers)Faïçal Ndaïrou (6 shared papers)Delfim F. M. Torres (7 shared papers)A. Ronveaux (24 shared papers)Alejandro Zarzo (21 shared papers)Jorge Losada (8 shared papers)Cristiana J. Silva (5 shared papers)
In The Last Decade
Iván Area
114 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 112
- Modeling and Simulation 1.3k
- Applied Mathematics 982
- Numerical Analysis 402
- Statistical and Nonlinear Physics 341
- Algebra and Number Theory 108
Countries citing papers authored by Iván Area
This map shows the geographic impact of Iván Area'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 Iván Area with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iván Area more than expected).
Fields of papers citing papers by Iván Area
This network shows the impact of papers produced by Iván Area. 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 Iván Area. The network helps show where Iván Area may publish in the future.
Co-authors
The 25 scholars most cited alongside Iván Area, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 505 | |
| 2 | 2015 | 177 | |
| 3 | 2017 | 99 | |
| 4 | 2017 | 81 | |
| 5 | 2021 | 74 | |
| 6 | 2015 | 73 | |
| 7 | 1997 | 63 | |
| 8 | Ebola Model and Optimal Control with Vaccination Constraints | 2018 | 59 |
| 9 | 1997 | 50 | |
| 10 | 2021 | 49 | |
| 11 | Mathematical modeling of Zika disease in pregnant women and newborns with microcephaly in Brazil | 2018 | 48 |
| 12 | 2001 | 36 | |
| 13 | 2004 | 33 | |
| 14 | 1998 | 33 | |
| 15 | 2018 | 31 | |
| 16 | 2014 | 28 | |
| 17 | 1997 | 28 | |
| 18 | 2015 | 28 | |
| 19 | 2022 | 27 | |
| 20 | 1999 | 23 |
About Iván Area
Iván Area is a scholar working on Applied Mathematics, Modeling and Simulation, Statistical and Nonlinear Physics, Numerical Analysis and Computational Theory and Mathematics, having authored 118 papers that have together received 2.2k indexed citations. Recurring topics across this work include Mathematical functions and polynomials (74 papers), Fractional Differential Equations Solutions (32 papers), Quantum Mechanics and Non-Hermitian Physics (26 papers), Nonlinear Waves and Solitons (24 papers), COVID-19 epidemiological studies (12 papers), Polynomial and algebraic computation (12 papers), Iterative Methods for Nonlinear Equations (11 papers) and Advanced Mathematical Identities (10 papers). The work is most often cited by research in Modeling and Simulation (1.3k citations), Applied Mathematics (982 citations), Numerical Analysis (402 citations), Statistical and Nonlinear Physics (341 citations) and Algebra and Number Theory (108 citations). Iván Area has collaborated with scholars based in Spain, Belgium and Iran. Frequent co-authors include Juan J. Nieto, Eduardo Godoy, Faïçal Ndaïrou, Delfim F. M. Torres, A. Ronveaux, Alejandro Zarzo, Jorge Losada, Cristiana J. Silva, Ángela Torres and Hanan Ali Batarfi. Their work appears in journals such as Journal of Computational and Applied Mathematics, Journal of Mathematical Analysis and Applications, Mathematical Methods in the Applied Sciences, The Journal of Difference Equations and Applications and Applied Mathematics and Computation.
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.