Juan Ferrera

558 citations
26 papers · 333 · h-index 10

Impact in

    • Geometric Analysis and Curvature Flows
    • Nonlinear Partial Differential Equations
    • Point processes and geometric inequalities
    • Advanced Banach Space Theory

Papers in

Juan Ferrera

23 papers receiving 307 citations

Peers

Juan Ferrera
Comparison fields: 5 of 35
  • Applied Mathematics 193
  • Mathematical Physics 121
  • Numerical Analysis 64
  • Computational Theory and Mathematics 160
  • Geometry and Topology 86
Replace Daniel Azagra with:
Daniel Azagra Spain
A. C. Thompson Canada
Maria Patrizia Pera Italy
Ştefan Cobzaş Romania
Luca Brandolini Italy
Alfonso Vignoli Italy
E. Lami Dozo Argentina
Dariusz Bugajewski Poland
E. B. Leach United States
Giovanni Vidossich Italy
Juan Ferrera relative to Daniel Azagra Spain Daniel Azagra's profile →
Citations per field
00.5×1.5×
Daniel Azagra · 1×
Citations per year

Countries citing papers authored by Juan Ferrera

Since Specialization
Citations

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

Fields of papers citing papers by Juan Ferrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Juan Ferrera, 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 Juan Ferrera Line = papers co-authored together Juan Ferrera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200499
2 200639
3
Ten mathematical essays on approximation in analysis and topology
200538
4 200524
5 200821
6 198220
7 198313
8 200212
9 200611
10 20069
11 20148
12 20038
13 20025
14 19964
15 20194
16 20194
17 20033
18 20052
19 19942
20 20212

About Juan Ferrera

Juan Ferrera is a scholar working on Mathematical Physics, Applied Mathematics, Geometry and Topology, Computational Theory and Mathematics and Statistics and Probability, having authored 26 papers that have together received 333 indexed citations. Recurring topics across this work include Advanced Banach Space Theory (13 papers), Geometric Analysis and Curvature Flows (7 papers), Nonlinear Partial Differential Equations (6 papers), Optimization and Variational Analysis (5 papers), Fixed Point Theorems Analysis (4 papers), Approximation Theory and Sequence Spaces (4 papers), Advanced Topology and Set Theory (4 papers) and Advanced Differential Geometry Research (3 papers). The work is most often cited by research in Applied Mathematics (193 citations), Mathematical Physics (121 citations), Numerical Analysis (64 citations), Computational Theory and Mathematics (160 citations) and Geometry and Topology (86 citations). Juan Ferrera has collaborated with scholars based in Spain. Frequent co-authors include Daniel Azagra, Francisco R. Ruiz del Portal and J. Llorente Merino. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Revista Matemática Complutense, Set-Valued and Variational Analysis, Nonlinear Analysis and Pacific Journal of Mathematics.

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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