Peter Stollmann

1.9k citations
57 papers · 991 · h-index 15

Impact in

Papers in

Peter Stollmann

56 papers receiving 900 citations

Peers

Peter Stollmann
Comparison fields: 5 of 60
  • Mathematical Physics 819
  • Computational Theory and Mathematics 414
  • Applied Mathematics 208
  • Statistical and Nonlinear Physics 235
  • Statistics and Probability 126
Replace Günter Stolz with:
Günter Stolz United States
Ари Лаптев United Kingdom
Leonid Friedlander United States
Michael Demuth Germany
Vladimir Rabinovich Mexico
Frédéric Klopp France
Peter Kuchment United States
Mouez Dimassi France
Hagen Neidhardt Germany
François Germinet France
Peter Stollmann relative to Günter Stolz United States Günter Stolz's profile →
Citations per field
00.5×1.5×1.8×
Günter Stolz · 1×
Citations per year

Countries citing papers authored by Peter Stollmann

Since Specialization
Citations

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

Fields of papers citing papers by Peter Stollmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Stollmann, 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 Peter Stollmann Line = papers co-authored together Peter Stollmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996139
2 2001127
3 2001109
4 200152
5 199846
6 199846
7 200038
8 200532
9 202021
10 199521
11 200717
12 200917
13 201017
14 199416
15 199916
16 199214
17 200614
18 200613
19 198512
20 200312

About Peter Stollmann

Peter Stollmann is a scholar working on Mathematical Physics, Computational Theory and Mathematics, Geometry and Topology, Applied Mathematics and Statistical and Nonlinear Physics, having authored 57 papers that have together received 991 indexed citations. Recurring topics across this work include Spectral Theory in Mathematical Physics (37 papers), Advanced Mathematical Modeling in Engineering (21 papers), Numerical methods in inverse problems (15 papers), Geometric Analysis and Curvature Flows (7 papers), Quantum chaos and dynamical systems (6 papers), Quasicrystal Structures and Properties (6 papers), Graph theory and applications (5 papers) and Geometry and complex manifolds (5 papers). The work is most often cited by research in Mathematical Physics (819 citations), Computational Theory and Mathematics (414 citations), Applied Mathematics (208 citations), Statistical and Nonlinear Physics (235 citations) and Statistics and Probability (126 citations). Peter Stollmann has collaborated with scholars based in Germany, United States and France. Frequent co-authors include J. Voigt, Daniel Lenz, Günter Stolz, Werner Kirsch, David Damanik, Anne Boutet de Monvel, Jürgen Voigt, Pavel Exner, Peter Müller and Ivan Veselić. Their work appears in journals such as Journal of Functional Analysis, Integral Equations and Operator Theory, Mathematical Physics Analysis and Geometry, Proceedings of the American Mathematical Society and Journal of Spectral 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.

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