Peter Leukert

612 citations
6 papers · 346 · h-index 6

Impact in

  • Finance top 5%
    • Stochastic processes and financial applications
    • Financial Risk and Volatility Modeling
    • Financial Markets and Investment Strategies
    • advanced mathematical theories

Papers in

Peter Leukert

6 papers receiving 302 citations

Peers

Peter Leukert
Comparison fields: 5 of 40
  • Finance 234
  • Mathematical Physics 100
  • Management Science and Operations Research 84
  • Demography 56
  • Applied Mathematics 46
Replace Anis Matoussi with:
Anis Matoussi France
Xiaolu Tan France
Hideo Nagai Japan
Stefan Tappe Germany
Leszek Słomiński Poland
Carlo Sgarra Italy
Aleksandar Mijatović United Kingdom
Jean -Michel Bismut France
Pierre Patie United States
Jia-an Yan China
Peter Leukert relative to Anis Matoussi France Anis Matoussi's profile →
Citations per field
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Anis Matoussi · 1×
Citations per year

Countries citing papers authored by Peter Leukert

Since Specialization
Citations

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

Fields of papers citing papers by Peter Leukert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Peter Leukert, 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 Leukert Line = papers co-authored together Peter Leukert links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 1999172
2 199671
3 199664
4 199319
5 199613
6 19957

About Peter Leukert

Peter Leukert is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics, Finance, Atomic and Molecular Physics, and Optics and Applied Mathematics, having authored 6 papers that have together received 346 indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (2 papers), Stochastic processes and financial applications (2 papers), Statistical and numerical algorithms (1 paper), Complex Systems and Time Series Analysis (1 paper), Noncommutative and Quantum Gravity Theories (1 paper), Mathematical and Theoretical Analysis (1 paper), Control Systems and Identification (1 paper) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Finance (234 citations), Mathematical Physics (100 citations), Management Science and Operations Research (84 citations), Demography (56 citations) and Applied Mathematics (46 citations). Peter Leukert has collaborated with scholars based in Germany, Portugal and Ukraine. Frequent co-authors include Ludwig Streit, Yuri G. Kondratiev, Yu. G. Kondratiev, J. Potthoff, Jörg Schäfer, M D Cunha and José Luís da Silva. Their work appears in journals such as Annalen der Physik, Finance and Stochastics, Reviews in Mathematical Physics, Journal of Functional Analysis and Acta Applicandae 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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