Marcin Studniarski

467 citations
31 papers · 324 indexed · h-index 9
Topics
Optimization and Variational Analysis (23 papers)Advanced Optimization Algorithms Research (14 papers)Advanced Control Systems Optimization (6 papers)
Partner nations
PolandSaudi ArabiaIraq

In The Last Decade

Marcin Studniarski

24 papers receiving 269 citations

Peers

Marcin Studniarski
Comparison fields: 5 of 32
  • Computational Theory and Mathematics 297
  • Numerical Analysis 248
  • Control and Systems Engineering 65
  • Geometry and Topology 48
  • Applied Mathematics 46
Replace Ivan Ginchev with:
Ivan Ginchev Italy
Doug Ward United States
Giancarlo Bigi Italy
Marco Castellani Italy
C. Nahak India
M. J. Cánovas Spain
H. Mohebi Iran
Zili Wu China
J. Zafarani Iran
A. Göpfert Germany
Marcin Studniarski relative to Ivan Ginchev Italy Ivan Ginchev's profile →
Citations per field
00.5×1.5×
Ivan Ginchev · 1×
Citations per year

Countries citing papers authored by Marcin Studniarski

Since Specialization
Citations

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

Fields of papers citing papers by Marcin Studniarski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcin Studniarski

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 10
3 1
4 6
5 0
6 4
7
NEW CHARACTERIZATIONS OF WEAK SHARP AND STRICT LOCAL MINIMIZERS IN NONLINEAR PROGRAMMING
1
8 1
9
Stopping criteria for a general model of genetic algorithm
1
10
Weak sharp minima in multiobjective optimization
14
11
Stability properties of weak sharp minima
2
12 5
13 6
14 5
15 1
16 29
17 4
18 1
19 4
20 15

About Marcin Studniarski

Marcin Studniarski is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Applied Mathematics, having authored 31 papers that have together received 324 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (23 papers), Advanced Optimization Algorithms Research (14 papers) and Advanced Control Systems Optimization (6 papers). The work is most often cited by research in Numerical Analysis (248 citations), Computational Theory and Mathematics (297 citations) and Geometry and Topology (48 citations). Marcin Studniarski has collaborated with scholars based in Poland, Saudi Arabia and Iraq. Frequent co-authors include Doug Ward, V. Jeyakumar, Robert Irzmański, Tadeusz Antczak and Xiaoqi Yang. Their work appears in journals such as Journal of Mathematical Analysis and Applications, SIAM Journal on Control and Optimization and Numerische Mathematik.

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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