David Šiška

23 papers receiving 155 citations

Peers

David Šiška
Comparison fields: 5 of 32
  • Finance 70
  • Numerical Analysis 26
  • Modeling and Simulation 16
  • Statistical and Nonlinear Physics 39
  • Computational Theory and Mathematics 47
Replace Vigirdas Mackevičius with:
Vigirdas Mackevičius Lithuania
Jinniao Qiu Canada
Ariel Neufeld Singapore
Giuseppina Guatteri Italy
Leszek Gawarecki United States
Yoshio Komori Japan
Omar Hijab United States
Yaning Lin China
Mou-Hsiung Chang United States
Côme Huré France
David Šiška relative to Vigirdas Mackevičius Lithuania Vigirdas Mackevičius's profile →
Citations per field
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Vigirdas Mackevičius · 1×
Citations per year

Countries citing papers authored by David Šiška

Since Specialization
Citations

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

Fields of papers citing papers by David Šiška

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside David Šiška, 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 David Šiška Line = papers co-authored together David Šiška links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201522
2 202121
3 202017
4 201214
5 202114
6 201112
7 20139
8 20237
9 20226
10 20235
11 20245
12 20095
13 20214
14 20194
15 20164
16 20153
17 20233
18 20153
19
20083
20 20242

About David Šiška

David Šiška is a scholar working on Finance, Computational Theory and Mathematics, Management Science and Operations Research, Statistical and Nonlinear Physics and Control and Systems Engineering, having authored 28 papers that have together received 167 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (8 papers), Advanced Mathematical Modeling in Engineering (7 papers), Model Reduction and Neural Networks (6 papers), Risk and Portfolio Optimization (4 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Banking stability, regulation, efficiency (2 papers), Advanced Control Systems Optimization (2 papers) and Markov Chains and Monte Carlo Methods (2 papers). The work is most often cited by research in Finance (70 citations), Numerical Analysis (26 citations), Modeling and Simulation (16 citations), Statistical and Nonlinear Physics (39 citations) and Computational Theory and Mathematics (47 citations). David Šiška has collaborated with scholars based in United Kingdom, Germany and Austria. Frequent co-authors include Etienne Emmrich, Łukasz Szpruch, István Gyöngy, Sotirios Sabanis, Philipp Grohs, Lukas Gonon, Arnulf Jentzen, Zhenjie Ren, Mechthild Thalhammer and Álvaro Cartea. Their work appears in journals such as SIAM Journal on Control and Optimization, Stochastic Partial Differential Equations Analysis and Computations, Computational Methods in Applied Mathematics, Mathematical Methods in the Applied Sciences and Applied Mathematics & Optimization.

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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