Pedro M. Lima

1.6k citations
86 papers · 1.2k · h-index 19

Impact in

    • Fractional Differential Equations Solutions
    • Differential Equations and Numerical Methods
    • Iterative Methods for Nonlinear Equations
    • Numerical methods for differential equations

Papers in

    • Differential Equations and Numerical Methods 43
    • Iterative Methods for Nonlinear Equations 20
    • Numerical methods for differential equations 17
    • Fractional Differential Equations Solutions 39

Pedro M. Lima

80 papers receiving 1.1k citations

Peers

Pedro M. Lima
Comparison fields: 5 of 60
  • Modeling and Simulation 864
  • Numerical Analysis 841
  • Applied Mathematics 443
  • Statistical and Nonlinear Physics 145
  • Mathematical Physics 80
Replace Emran Tohidi with:
Emran Tohidi Iran
Yingzhen Lin China
Aiguo Xiao China
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Ramy M. Hafez Egypt
Xiangcheng Zheng China
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Pedro M. Lima relative to Emran Tohidi Iran Emran Tohidi's profile →
Citations per field
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Emran Tohidi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Pedro M. Lima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pedro M. Lima Line = papers co-authored together Pedro M. Lima links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012134
2 2012104
3 201073
4 200750
5 201947
6 201847
7 201944
8 200743
9 200742
10 199740
11 201839
12 200438
13 200232
14 200530
15 201126
16 201625
17 201924
18 202121
19 200918
20 200616

About Pedro M. Lima

Pedro M. Lima is a scholar working on Numerical Analysis, Modeling and Simulation, Applied Mathematics, Computational Mechanics and Statistical and Nonlinear Physics, having authored 86 papers that have together received 1.2k indexed citations. Recurring topics across this work include Differential Equations and Numerical Methods (43 papers), Fractional Differential Equations Solutions (39 papers), Iterative Methods for Nonlinear Equations (20 papers), Differential Equations and Boundary Problems (19 papers), Numerical methods for differential equations (17 papers), Neural dynamics and brain function (11 papers), Mathematical functions and polynomials (10 papers) and Numerical methods in engineering (8 papers). The work is most often cited by research in Modeling and Simulation (864 citations), Numerical Analysis (841 citations), Applied Mathematics (443 citations), Statistical and Nonlinear Physics (145 citations) and Mathematical Physics (80 citations). Pedro M. Lima has collaborated with scholars based in Portugal, Iran and United Kingdom. Frequent co-authors include Somayeh Nemati, Teresa Diogo, Neville J. Ford, M. Luísa Morgado, Yadollah Ordokhani, Ewa Weinmüller, E. Babolian, S. Sedaghat, Othmar Koch and Delfim F. M. Torres. Their work appears in journals such as Journal of Computational and Applied Mathematics, Applied Numerical Mathematics, Applied Mathematics and Computation, Journal of Scientific Computing and Computer Physics Communications.

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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