Pedro M. Lima

1.6k total citations
86 papers, 1.2k citations indexed

About

Pedro M. Lima is a scholar working on Numerical Analysis, Modeling and Simulation and Applied Mathematics. According to data from OpenAlex, Pedro M. Lima has authored 86 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Numerical Analysis, 38 papers in Modeling and Simulation and 33 papers in Applied Mathematics. Recurrent topics in Pedro M. Lima's work include Differential Equations and Numerical Methods (45 papers), Fractional Differential Equations Solutions (38 papers) and Differential Equations and Boundary Problems (20 papers). Pedro M. Lima is often cited by papers focused on Differential Equations and Numerical Methods (45 papers), Fractional Differential Equations Solutions (38 papers) and Differential Equations and Boundary Problems (20 papers). Pedro M. Lima collaborates with scholars based in Portugal, Iran and United Kingdom. Pedro M. Lima's co-authors include Somayeh Nemati, Teresa Diogo, M. Luísa Morgado, Neville J. Ford, Yadollah Ordokhani, Ewa Weinmüller, E. Babolian, S. Sedaghat, Othmar Koch and Parisa Rahimkhani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Physics Communications and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Pedro M. Lima

80 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro M. Lima Portugal 19 840 827 431 155 145 86 1.2k
Emran Tohidi Iran 21 876 1.0× 882 1.1× 314 0.7× 179 1.2× 136 0.9× 54 1.2k
K. Sayevand Iran 19 807 1.0× 642 0.8× 223 0.5× 127 0.8× 206 1.4× 81 1.1k
Aiguo Xiao China 19 1.0k 1.2× 963 1.2× 179 0.4× 200 1.3× 273 1.9× 112 1.3k
Yingzhen Lin China 18 931 1.1× 829 1.0× 316 0.7× 457 2.9× 118 0.8× 59 1.2k
Ramy M. Hafez Egypt 21 879 1.0× 734 0.9× 241 0.6× 148 1.0× 302 2.1× 53 1.1k
K. Abbaoui France 15 1.2k 1.5× 935 1.1× 276 0.6× 184 1.2× 503 3.5× 23 1.6k
Hassan Eltayeb Saudi Arabia 17 681 0.8× 489 0.6× 297 0.7× 101 0.7× 293 2.0× 86 863
Xiangcheng Zheng China 17 970 1.2× 773 0.9× 336 0.8× 226 1.5× 128 0.9× 106 1.1k
Hossein Aminikhah Iran 20 1.0k 1.2× 670 0.8× 199 0.5× 132 0.9× 489 3.4× 112 1.3k
Zeyad Al–Zhour Saudi Arabia 19 1.1k 1.4× 656 0.8× 416 1.0× 89 0.6× 539 3.7× 53 1.4k

Countries citing papers authored by Pedro M. Lima

Since Specialization
Citations

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

Fields of papers citing papers by Pedro M. Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro M. Lima. 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 Pedro M. Lima. The network helps show where Pedro M. Lima may publish in the future.

Co-authorship network of co-authors of Pedro M. Lima

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro M. Lima. A scholar is included among the top collaborators of Pedro M. Lima 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 Pedro M. Lima. Pedro M. Lima 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.
2.
Lima, Pedro M., et al.. (2024). Discretization methods and their extrapolations for two-dimensional nonlinear Volterra-Urysohn integral equations. Applied Numerical Mathematics. 208. 323–337. 1 indexed citations
3.
Lima, Pedro M., et al.. (2024). Solving volterra integral equations of the third kind by a spline collocation method. AIP conference proceedings. 3094. 220008–220008. 1 indexed citations
4.
Lima, Pedro M., et al.. (2021). Iterative Collocation Method for Solving a class of Nonlinear Weakly Singular Volterra Integral Equations. 14(1). 1 indexed citations
5.
Diogo, Teresa, Pedro M. Lima, & Donatella Occorsio. (2020). A numerical method for finite-part integrals. CINECA IRIS Institutional Research Information System (University of Basilicata). 13(1). 2 indexed citations
6.
Avitabile, Daniele, Stephen Coombes, & Pedro M. Lima. (2020). Numerical investigation of a neural field model including dendritic\n processing. arXiv (Cornell University). 2 indexed citations
7.
Lima, Pedro M., et al.. (2015). An Integral Method for the Numerical Solution of Nonlinear Singular Boundary Value Problems. Bulletin of the South Ural State University Series Mathematical Modelling Programming and Computer Software. 8(4). 5–13. 4 indexed citations
8.
Morgado, M. Luísa, Neville J. Ford, & Pedro M. Lima. (2012). Analysis and numerical methods for fractional differential equations with delay. Journal of Computational and Applied Mathematics. 252. 159–168. 131 indexed citations
9.
Nemati, Somayeh, Pedro M. Lima, & Yadollah Ordokhani. (2012). Numerical solution of a class of two-dimensional nonlinear Volterra integral equations using Legendre polynomials. Journal of Computational and Applied Mathematics. 242. 53–69. 103 indexed citations
10.
Lima, Pedro M. & M. Luísa Morgado. (2011). Efficient computational methods for singular free boundary problems using smoothing variable substitutions. Journal of Computational and Applied Mathematics. 236(12). 2981–2989. 2 indexed citations
11.
Morgado, M. Luísa & Pedro M. Lima. (2010). Numerical solution of a class of singular free boundary problems involving them-Laplace operator. Journal of Computational and Applied Mathematics. 234(9). 2838–2847. 3 indexed citations
12.
Ford, Neville J., et al.. (2010). The numerical solution of forward–backward differential equations: Decomposition and related issues. Journal of Computational and Applied Mathematics. 234(9). 2745–2756. 11 indexed citations
13.
Ford, Neville J., et al.. (2008). Numerical Modelling of a Functional Differential Equation with Deviating Arguments Using a Collocation Method. AIP conference proceedings. 553–557. 8 indexed citations
14.
Diogo, Teresa & Pedro M. Lima. (2007). Superconvergence of collocation methods for a class of weakly singular Volterra integral equations. Journal of Computational and Applied Mathematics. 218(2). 307–316. 50 indexed citations
15.
Ford, Neville J., Teresa Diogo, Judith M. Ford, & Pedro M. Lima. (2006). Numerical modelling of qualitative behaviour of solutions to convolution integral equations. Journal of Computational and Applied Mathematics. 205(2). 849–858. 1 indexed citations
16.
Lima, Pedro M., et al.. (2005). Analytical–numerical investigation of bubble-type solutions of nonlinear singular problems. Journal of Computational and Applied Mathematics. 189(1-2). 260–273. 30 indexed citations
17.
Lima, Pedro M. & Teresa Diogo. (2002). Numerical solution of a nonuniquely solvable Volterra integral equation using extrapolation methods. Journal of Computational and Applied Mathematics. 140(1-2). 537–557. 32 indexed citations
18.
Lima, Pedro M., et al.. (1999). Iterative methods for a singular boundary-value problem. Journal of Computational and Applied Mathematics. 111(1-2). 173–186. 8 indexed citations
19.
Lima, Pedro M.. (1996). Numerical methods and asymptotic error expansions for the Emden-Fowler equations. Journal of Computational and Applied Mathematics. 70(2). 245–266. 16 indexed citations
20.
Lima, Pedro M.. (1994). Richardson extrapolation in boundary value problems for differential equations with nonregular right-hand side. Journal of Computational and Applied Mathematics. 50(1-3). 385–400. 2 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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