D. E. Ferreyra

23 papers receiving 318 citations

Peers

D. E. Ferreyra
Comparison fields: 5 of 25
  • Computational Theory and Mathematics 315
  • Numerical Analysis 95
  • Algebra and Number Theory 70
  • Applied Mathematics 81
  • Geometry and Topology 30
Replace F‎. ‎E‎. Levis with:
F‎. ‎E‎. Levis Argentina
K. C. ‎Sivakumar India
Nebojša Č. Dinčić Serbia
Huihui Zhu China
Yuefeng Gao China
M.I. Bueno United States
Dragan S. Rakić Serbia
N. Castro-González Spain
Tim Netzer Germany
Chunyuan Deng China
D. E. Ferreyra relative to F‎. ‎E‎. Levis Argentina F‎. ‎E‎. Levis's profile →
Citations per field
00.5×1.6×
F‎. ‎E‎. Levis · 1×
Citations per year

Countries citing papers authored by D. E. Ferreyra

Since Specialization
Citations

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

Fields of papers citing papers by D. E. Ferreyra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. E. Ferreyra. 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 D. E. Ferreyra. The network helps show where D. E. Ferreyra may publish in the future.

Co-authors

The 6 scholars most cited alongside D. E. Ferreyra, 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 D. E. Ferreyra Line = papers co-authored together D. E. Ferreyra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017109
2 201854
3 201849
4 201931
5 202021
6 202011
7 202311
8 202110
9 20198
10 20195
11 20234
12 20204
13 20243
14 20223
15 20223
16 20222
17 20242
18
Best local approximation and lateral differentiability
20131
19
An extension of best L 2 local approximation
20171
20 20221

About D. E. Ferreyra

D. E. Ferreyra is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Applied Mathematics, Statistics and Probability and Mathematical Physics, having authored 30 papers that have together received 336 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (24 papers), Advanced Optimization Algorithms Research (7 papers), Approximation Theory and Sequence Spaces (6 papers), Electromagnetic Scattering and Analysis (4 papers), Advanced Topics in Algebra (4 papers), graph theory and CDMA systems (4 papers), Iterative Methods for Nonlinear Equations (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Computational Theory and Mathematics (315 citations), Numerical Analysis (95 citations), Algebra and Number Theory (70 citations), Applied Mathematics (81 citations) and Geometry and Topology (30 citations). D. E. Ferreyra has collaborated with scholars based in Argentina, Spain and India. Frequent co-authors include Néstor Thome, F‎. ‎E‎. Levis, Saroj B. Malik, Alberto Priori, Dijana Mosić and Shehre-Banoo Malik. Their work appears in journals such as Revista de la Real Academia de Ciencias Exactas Físicas y Naturales Serie A Matemáticas, Journal of Computational and Applied Mathematics, Aequationes Mathematicae, Electronic Journal of Linear Algebra and Numerical Functional Analysis and Optimization.

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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