Revista Matematica Complutense
Q1 Journal
Open Access
Journal
Country
Italy
Western Europe
Subject Area and Category
Mathematics
└
Mathematics (miscellaneous)
Q1
Publisher
Citation Score 2025
1.010
Q1
Citation Score
H-Index
30
Citations / Doc (2yr)
1.61
Total Docs. (latest)
54
Total Citations (3yr)
181
Publication type
Journals
ISSN
19882807, 11391138
Coverage
2008-2026
Journal Rank
#4,835
Subject Categories
Mathematics (miscellaneous)
Q1
Subject Areas
Aims & Scope
Revista Matemática Complutense is an international research journal supported by the School of Mathematics at Complutense University in Madrid.
It publishes high quality research and survey articles across pure and applied mathematics.
Fields of interests include: analysis, differential equations and applications, geometry, topology, algebra, statistics, computer sciences and astronomy.
This broad interest is reflected in our interdisciplinary editorial board which is comprised of over 30 internationally esteemed researchers in diverse areas.
The Editorial Board of Revista Matemática Complutense organizes the “Santaló Lecture”, a yearly event where a distinguished mathematician is invited to present a lecture at Complutense University and contribute to the journal.
Past lecturers include: Charles T.C.
Wall, Jack K.
Hale, Hans Triebel, Marcelo Viana, Narayanswamy Balakrishnan, Nigel Kalton, Alfio Quarteroni, David E.
Edmunds, Giuseppe Buttazzo, Juan L.
Vázquez, Eduard Feireisl, Nigel Hitchin, Lajos Horváth, Hélène Esnault, Luigi Ambrosio, Ignacio Cirac and Bernd Sturmfels.
The Santaló Lecturer for 2019 will be Noel Cressie from National Institute for Applied Statistics Research Australia (NIASRA), University of Wollongong.
Abstracting & Indexing
Scopus
Google Scholar
Web of Science
Detailed Metrics
| Total Docs. (latest) | 54 |
| Total Docs. (3 years) | 105 |
| Total Refs. | 1,555 |
| Total Citations (3 years) | 181 |
| Citable Docs. (3 years) | 105 |
| Citations / Doc. (2 years) | 1.61 |
| Ref. / Doc. | 28.80 |
| % Female | 24.4% |
Metrics Visualization
Latest year data vs 3-year cumulative figures
Top 10 Most Cited Articles
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