Umberto Mosco

2.5k citations
36 papers · 1.5k indexed · 1 hit paper · h-index 17

Umberto Mosco

35 papers receiving 1.2k citations

Hit Papers

Convergence of convex sets and of solutions of variationa...19692026198820071969200400600

Peers

Umberto Mosco
Comparison fields: 5 of 64
  • Computational Theory and Mathematics 1.1k
  • Applied Mathematics 651
  • Mathematical Physics 525
  • Geometry and Topology 290
  • Numerical Analysis 210
Replace V. М. Tikhomirov with:
V. М. Tikhomirov Russia
Lars‐Erik Persson Sweden
Nikolas S. Papageorgiou Greece
Richard Datko United States
Dragan S. Djordjević Serbia
Patrick J. Rabier United States
Alberto Seeger France
N. J. Young United Kingdom
P. M. Anselone United States
Rafael Corrêa Chile
Umberto Mosco relative to V. М. Tikhomirov Russia V. М. Tikhomirov's profile →
Citations per field
00.5×2.8×
V. М. Tikhomirov · 1×
Citations per year

Countries citing papers authored by Umberto Mosco

Since Specialization
Citations

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

Fields of papers citing papers by Umberto Mosco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Umberto Mosco

This figure shows the co-authorship network connecting the top 25 collaborators of Umberto Mosco. A scholar is included among the top collaborators of Umberto Mosco based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Umberto Mosco. Umberto Mosco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 12
3 16
4 27
5
Distance, mass and energy in analysis
1
6 64
7 33
8
Sobolev and isoperimetric inequalities for Dirichlet forms on homogeneous spaces
34
9 25
10
10
11 57
12
Wiener Criterion and Potential Estimates for the Obstacle Problem
17
13
Wiener's Criterion and $\gamma$ - Convergence
2
14
Irregular obstacles and quasi-variational inequalities of stochastic impulse control
28
15 24
16 8
17 60
18 137
19
Convergence of convex sets and of solutions of variational inequalitiesbreakdown →
666
20
Approximation of the solutions of some variational inequalities
37

About Umberto Mosco

Umberto Mosco is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Applied Mathematics, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (14 papers), Optimization and Variational Analysis (8 papers) and advanced mathematical theories (6 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Applied Mathematics (651 citations) and Mathematical Physics (525 citations). Umberto Mosco has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Gianni Dal Maso, Marco Biroli, Maria Agostina Vivaldi, Gilbert Strang, Jens Frehse, Wilfrid S. Kendall, Karl‐Theodor Sturm, Jürgen Jost, Michael Röckner and Jean-Luc Joly. Their work appears in journals such as Physical Review Letters, Journal of Mathematical Analysis and Applications and Archive for Rational Mechanics and Analysis.

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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