Matthias Erbar

680 citations
13 papers · 307 indexed · 1 hit paper · h-index 7
Topics
Geometric Analysis and Curvature Flows (11 papers)Geometry and complex manifolds (7 papers)Point processes and geometric inequalities (4 papers)
Partner nations
GermanyAustriaItaly

In The Last Decade

Matthias Erbar

13 papers receiving 289 citations

Hit Papers

On the equivalence of the entropic curvature-dimension co...2014202620182022201450100150

Peers

Matthias Erbar
Comparison fields: 5 of 36
  • Applied Mathematics 263
  • Geometry and Topology 142
  • Astronomy and Astrophysics 68
  • Mathematical Physics 47
  • Computational Theory and Mathematics 34
Replace Kazumasa Kuwada with:
Kazumasa Kuwada Japan
Stefano Lisini Italy
Erik Lundberg United States
Adela Mihai Romania
Panagiota Daskalopoulos United States
Tapio Rajala Finland
Atsushi Katsuda Japan
Lavi Karp Israel
Mübariz Garayev Saudi Arabia
Edward W. Stredulinsky United States
Matthias Erbar relative to Kazumasa Kuwada Japan Kazumasa Kuwada's profile →
Citations per field
00.5×1.7×
Kazumasa Kuwada · 1×
Citations per year

Countries citing papers authored by Matthias Erbar

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Erbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Erbar

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 2
3 6
4 5
5 5
6 4
7 11
8 19
9 13
10 17
11
On the equivalence of the entropic curvature-dimension condition and Bochner’s inequality on metric measure spacesbreakdown →
187
12 36
13 1

About Matthias Erbar

Matthias Erbar is a scholar working on Applied Mathematics, Geometry and Topology and Statistics and Probability, having authored 13 papers that have together received 307 indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (11 papers), Geometry and complex manifolds (7 papers) and Point processes and geometric inequalities (4 papers). The work is most often cited by research in Applied Mathematics (263 citations), Geometry and Topology (142 citations) and Mathematical Physics (47 citations). Matthias Erbar has collaborated with scholars based in Germany, Austria and Italy. Frequent co-authors include Kazumasa Kuwada, Max Fathi, Jan Maas, Giuseppe Savaré, D. R. Michiel Renger, Luigi Ambrosio, André Schlichting, Delio Mugnolo, Karl‐Theodor Sturm and Franca Hoffmann. Their work appears in journals such as Communications on Pure and Applied Mathematics, Archive for Rational Mechanics and Analysis and Inventiones mathematicae.

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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