L. Jódar

3.8k citations
288 papers · 2.8k · h-index 24

Impact in

Papers in

L. Jódar

272 papers receiving 2.6k citations

Peers

L. Jódar
Comparison fields: 5 of 132
  • Numerical Analysis 872
  • Modeling and Simulation 673
  • Applied Mathematics 925
  • Computational Theory and Mathematics 898
  • Statistical and Nonlinear Physics 566
Replace J.‐C. Cortés with:
J.‐C. Cortés Spain
Adem Kılıçman Malaysia
Rainer Nagel Germany
R. K. Saxena India
G.S. Ladde United States
Klaus‐Jochen Engel Italy
John S. Maybee United States
Sergei Rogosin Belarus
Wolfgang Walter Germany
Farshid Mirzaee Iran
L. Jódar relative to J.‐C. Cortés Spain J.‐C. Cortés's profile →
Citations per field
00.5×3.0×
J.‐C. Cortés · 1×
Citations per year

Countries citing papers authored by L. Jódar

Since Specialization
Citations

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

Fields of papers citing papers by L. Jódar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Jódar. 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 L. Jódar. The network helps show where L. Jódar may publish in the future.

Co-authors

The 25 scholars most cited alongside L. Jódar, 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 L. Jódar Line = papers co-authored together L. Jódar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 288 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998129
2 1998112
3 200883
4 199481
5 199876
6 200969
7 200660
8 200449
9 199548
10 200046
11 200546
12 200946
13 200740
14 200840
15 200937
16 201035
17 199834
18 200833
19 200332
20 200732

About L. Jódar

L. Jódar is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Applied Mathematics, Statistical and Nonlinear Physics and Modeling and Simulation, having authored 288 papers that have together received 2.8k indexed citations. Recurring topics across this work include Numerical methods for differential equations (101 papers), Differential Equations and Numerical Methods (94 papers), Matrix Theory and Algorithms (81 papers), Differential Equations and Boundary Problems (57 papers), Stochastic processes and financial applications (30 papers), Fractional Differential Equations Solutions (30 papers), Probabilistic and Robust Engineering Design (24 papers) and Nonlinear Differential Equations Analysis (21 papers). The work is most often cited by research in Numerical Analysis (872 citations), Modeling and Simulation (673 citations), Applied Mathematics (925 citations), Computational Theory and Mathematics (898 citations) and Statistical and Nonlinear Physics (566 citations). L. Jódar has collaborated with scholars based in Spain, Colombia and United States. Frequent co-authors include J.‐C. Cortés, Emilio Defez, L. Villafuerte, Gilberto González‐Parra, Rafael J. Villanueva, Abraham J. Arenas, Jorge Sastre, Pablo Sevilla‐Peris, Paloma Merello and M. A. Piqueras. Their work appears in journals such as Computers & Mathematics with Applications, Mathematical and Computer Modelling, Applied Mathematics Letters, Journal of Computational and Applied Mathematics 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.

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