M.A. Styblinski

48 papers receiving 646 citations

Peers

M.A. Styblinski
Comparison fields: 5 of 70
  • Hardware and Architecture 164
  • Statistics, Probability and Uncertainty 129
  • Management Science and Operations Research 130
  • Computational Theory and Mathematics 137
  • Industrial and Manufacturing Engineering 67
Replace Carlos Andrey Maia with:
Carlos Andrey Maia Brazil
K. Antreich Germany
M. Malhotra United States
R.S. Gyurcsik United States
Salvatore J. Bavuso United States
Silvano Balemi Switzerland
James Kapinski United States
S. Deb United States
Daniel Dvorak United States
Youxian Sun China
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Citations per field
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Citations per year

Countries citing papers authored by M.A. Styblinski

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Styblinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. Styblinski. 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 M.A. Styblinski. The network helps show where M.A. Styblinski may publish in the future.

Co-authors

The 13 scholars most cited alongside M.A. Styblinski, 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 M.A. Styblinski Line = papers co-authored together M.A. Styblinski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990168
2 199589
3 198672
4 199153
5 198328
6 199320
7 199119
8 200218
9 198618
10 199417
11 199117
12 198616
13 200212
14 199311
15 199411
16 199310
17 19889
18 19978
19 20027
20 19947

About M.A. Styblinski

M.A. Styblinski is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Biomedical Engineering, Computational Theory and Mathematics and Management Science and Operations Research, having authored 58 papers that have together received 706 indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (27 papers), Low-power high-performance VLSI design (23 papers), VLSI and Analog Circuit Testing (15 papers), Analog and Mixed-Signal Circuit Design (14 papers), Probabilistic and Robust Engineering Design (12 papers), Optimal Experimental Design Methods (11 papers), Advanced Multi-Objective Optimization Algorithms (11 papers) and Manufacturing Process and Optimization (8 papers). The work is most often cited by research in Hardware and Architecture (164 citations), Statistics, Probability and Uncertainty (129 citations), Management Science and Operations Research (130 citations), Computational Theory and Mathematics (137 citations) and Industrial and Manufacturing Engineering (67 citations). M.A. Styblinski has collaborated with scholars based in United States, Poland and Belgium. Frequent co-authors include Ming Qu, Andrzej Ruszczyński, R.M. Biernacki, Jeson Chen, Min Huang, Xu Gao, Anirvan M. Sengupta, Chanan Singh, Donald R. Smith and Minglu Qu. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Microelectronics Reliability, International Journal of Circuit Theory and Applications, Electronics Letters and Neural Networks.

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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