Juan Ferrera

570 citations
28 papers · 336 · 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

26 papers receiving 315 citations

Peers

Juan Ferrera
Comparison fields: 5 of 32
  • Applied Mathematics 194
  • Mathematical Physics 126
  • Numerical Analysis 60
  • Geometry and Topology 95
  • Computational Theory and Mathematics 150
Replace Daniel Azagra with:
Daniel Azagra Spain
Ştefan Cobzaş Romania
Seung Jun Chang South Korea
Bogdan Choczewski Poland
Genrich R. Belitskii Israel
Adriana Nicolae Romania
Senlin Wu China
E. Lami Dozo Argentina
Luca Brandolini Italy
Hiroshi Nakazato Japan
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 1 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004110
2 200641
3 200528
4 200827
5 198222
6 198315
7 200214
8 200613
9 200612
10 201411
11 20039
12 20025
13 20194
14 20194
15 20133
16 20033
17 19962
18 19982
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 28 papers that have together received 336 indexed citations. Recurring topics across this work include Advanced Banach Space Theory (13 papers), Geometric Analysis and Curvature Flows (8 papers), Nonlinear Partial Differential Equations (7 papers), Optimization and Variational Analysis (7 papers), Advanced Topology and Set Theory (5 papers), Fixed Point Theorems Analysis (4 papers), Approximation Theory and Sequence Spaces (4 papers) and Advanced Mathematical Modeling in Engineering (3 papers). The work is most often cited by research in Applied Mathematics (194 citations), Mathematical Physics (126 citations), Numerical Analysis (60 citations), Geometry and Topology (95 citations) and Computational Theory and Mathematics (150 citations). Juan Ferrera has collaborated with scholars based in Spain. Frequent co-authors include Daniel Azagra. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Revista Matemática Complutense, Journal of Pure and Applied Algebra, Journal of Functional Analysis and Journal of Approximation Theory.

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.

Explore authors with similar magnitude of impact