Daniele Valtorta

498 citations
12 papers · 161 indexed · h-index 7
Topics
Geometric Analysis and Curvature Flows (8 papers)Advanced Mathematical Modeling in Engineering (6 papers)Nonlinear Partial Differential Equations (6 papers)

In The Last Decade

Daniele Valtorta

10 papers receiving 156 citations

Peers

Daniele Valtorta
Comparison fields: 5 of 14
  • Applied Mathematics 152
  • Computational Theory and Mathematics 76
  • Geometry and Topology 55
  • Mathematical Physics 54
  • Astronomy and Astrophysics 14
Replace Alessandro Savo with:
Alessandro Savo Italy
İsmail Kömbe United States
Micah Warren United States
Enrico Pasqualetto Italy
Hervé Pajot France
Barbara Brandolini Italy
Jingbo Dou China
Paul MacManus United States
Cheikh Birahim Ndiaye Germany
Ailana Fraser Canada
Daniele Valtorta relative to Alessandro Savo Italy Alessandro Savo's profile →
Citations per field
00.5×1.5×2.3×
Alessandro Savo · 1×
Citations per year

Countries citing papers authored by Daniele Valtorta

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Valtorta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Valtorta

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Valtorta. A scholar is included among the top collaborators of Daniele Valtorta 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 Daniele Valtorta. Daniele Valtorta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 1
3 14
4 4
5
Sharp estimates on the first eigenvalue of the $$p$$ p -Laplacian with negative Ricci lower bound
12
6 3
7 7
8 10
9 33
10 28
11 48
12 1

About Daniele Valtorta

Daniele Valtorta is a scholar working on Applied Mathematics, Mathematical Physics and Computational Theory and Mathematics, having authored 12 papers that have together received 161 indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (8 papers), Advanced Mathematical Modeling in Engineering (6 papers) and Nonlinear Partial Differential Equations (6 papers). The work is most often cited by research in Applied Mathematics (152 citations), Geometry and Topology (55 citations) and Mathematical Physics (54 citations). Daniele Valtorta has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Aaron Naber, Jeff Cheeger and Stefano Pigola. Their work appears in journals such as Annals of Mathematics, Inventiones mathematicae and Nonlinear 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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