Leszek Gawarecki

526 total citations
15 papers, 252 citations indexed

About

Leszek Gawarecki is a scholar working on Finance, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Leszek Gawarecki has authored 15 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Finance, 3 papers in Computational Theory and Mathematics and 2 papers in Mathematical Physics. Recurrent topics in Leszek Gawarecki's work include Stochastic processes and financial applications (8 papers), Advanced Mathematical Modeling in Engineering (3 papers) and Automotive and Human Injury Biomechanics (2 papers). Leszek Gawarecki is often cited by papers focused on Stochastic processes and financial applications (8 papers), Advanced Mathematical Modeling in Engineering (3 papers) and Automotive and Human Injury Biomechanics (2 papers). Leszek Gawarecki collaborates with scholars based in United States, India and Poland. Leszek Gawarecki's co-authors include V. Mandrekar, Theresa Atkinson, Massoud Tavakoli, Sergio Albeverio and Barbara Rüdiger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Accident Analysis & Prevention and Data in Brief.

In The Last Decade

Leszek Gawarecki

14 papers receiving 243 citations

Peers

Leszek Gawarecki
Comparison fields: 5 of 71
  • Finance 109
  • Control and Systems Engineering 57
  • Applied Mathematics 55
  • Mathematical Physics 49
  • Computational Theory and Mathematics 47
Replace Graziella Pacelli with:
Graziella Pacelli Italy
Aimé Lachapelle France
Chunrong Feng United Kingdom
В. С. Королюк Ukraine
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Benoîte de Saporta France
Onno van Gaans Netherlands
Giuseppina Guatteri Italy
B. Grigelionis Lithuania
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Citations per field, relative to Leszek Gawarecki
Leszek Gawarecki · 1×
Citations per year, relative to Leszek Gawarecki
Leszek Gawarecki · 1×

Countries citing papers authored by Leszek Gawarecki

Since Specialization
Citations

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

Fields of papers citing papers by Leszek Gawarecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leszek Gawarecki

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 1
2 45
3 6
4 13
5 3
6
Stochastic analysis for gaussian random processes and fields: with applications
5
7 5
8 81
9 78
10 5
11
Linear Stochastic Differential Equations in The Dual Of A Multi-Hilbertian Space
2
12 1
13 6
14 1
15
Itô-Ramer, Skorohod and Ogawa integrals with respect to Gaussian processes and their interrelationship
0

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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2026