J.C. Jorge

653 citations
38 papers · 515 · h-index 12

Impact in

Papers in

J.C. Jorge

38 papers receiving 493 citations

Peers

J.C. Jorge
Comparison fields: 5 of 33
  • Numerical Analysis 484
  • Computational Theory and Mathematics 222
  • Computational Mechanics 190
  • Modeling and Simulation 38
  • Applied Mathematics 60
Replace V. Shanthi with:
V. Shanthi India
S. Chandra Sekhara Rao India
C. Clavero Spain
Li‐Bin Liu China
Vikas Gupta India
Sebastian Franz Germany
Zhiyong Si China
N. Ramanujam India
S. N. Jator United States
Igor Boglaev New Zealand
J.C. Jorge relative to V. Shanthi India V. Shanthi's profile →
Citations per field
00.5×3.5×
V. Shanthi · 1×
Citations per year

Countries citing papers authored by J.C. Jorge

Since Specialization
Citations

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

Fields of papers citing papers by J.C. Jorge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.C. Jorge. 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 J.C. Jorge. The network helps show where J.C. Jorge may publish in the future.

Co-authors

The 4 scholars most cited alongside J.C. Jorge, 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 J.C. Jorge Line = papers co-authored together J.C. Jorge links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003117
2 200479
3 199858
4 200731
5 201521
6 201817
7 202215
8 200115
9 201813
10 200511
11 201911
12 201611
13 199410
14 20169
15 20039
16 20038
17 20028
18 20037
19 20087
20 20056

About J.C. Jorge

J.C. Jorge is a scholar working on Numerical Analysis, Computational Mechanics, Computational Theory and Mathematics, Mechanical Engineering and Electrical and Electronic Engineering, having authored 38 papers that have together received 515 indexed citations. Recurring topics across this work include Differential Equations and Numerical Methods (33 papers), Numerical methods for differential equations (21 papers), Advanced Numerical Methods in Computational Mathematics (20 papers), Advanced Mathematical Modeling in Engineering (12 papers), Material Science and Thermodynamics (5 papers), Electromagnetic Simulation and Numerical Methods (5 papers), Fractional Differential Equations Solutions (4 papers) and Coal Combustion and Slurry Processing (1 paper). The work is most often cited by research in Numerical Analysis (484 citations), Computational Theory and Mathematics (222 citations), Computational Mechanics (190 citations), Modeling and Simulation (38 citations) and Applied Mathematics (60 citations). J.C. Jorge has collaborated with scholars based in Spain and Russia. Frequent co-authors include C. Clavero, F.J. Lisbona, J.L. Gracia and G. I. Shishkin. Their work appears in journals such as Applied Numerical Mathematics, Journal of Computational and Applied Mathematics, Numerical Algorithms, Computers & Mathematics with Applications and Numerical Methods for Partial Differential Equations.

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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