M.J. Patyra

736 total citations
37 papers, 490 citations indexed

About

M.J. Patyra is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Hardware and Architecture. According to data from OpenAlex, M.J. Patyra has authored 37 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 15 papers in Electrical and Electronic Engineering and 10 papers in Hardware and Architecture. Recurrent topics in M.J. Patyra's work include Fuzzy Logic and Control Systems (19 papers), Neural Networks and Applications (16 papers) and Low-power high-performance VLSI design (8 papers). M.J. Patyra is often cited by papers focused on Fuzzy Logic and Control Systems (19 papers), Neural Networks and Applications (16 papers) and Low-power high-performance VLSI design (8 papers). M.J. Patyra collaborates with scholars based in United States, Switzerland and Poland. M.J. Patyra's co-authors include W. Maly, Janos L. Grantner, L. Lemaître, D. Mlynek, Nilanjan Mukherjee, Janusz Rajski, Jerzy Tyszer, D.B.I. Feltham, Jerzy Rużyłło and Jian Chen and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, Information Sciences and IEEE Transactions on Fuzzy Systems.

In The Last Decade

M.J. Patyra

32 papers receiving 450 citations

Peers

M.J. Patyra
Comparison fields: 5 of 47
  • Electrical and Electronic Engineering 297
  • Hardware and Architecture 225
  • Artificial Intelligence 169
  • Control and Systems Engineering 59
  • Biomedical Engineering 59
Replace Jerzy Rutkowski with:
Jerzy Rutkowski Poland
Sied Mehdi Fakhraie Iran
Shih-Hsu Huang Taiwan
Hamid Reza Mahdiani Iran
Shiyu Su United States
Nathan Kupp United States
V. Visvanathan India
Gert Jervan Estonia
S. Cherubal United States
Yiyu Shi United States
Jerzy Rutkowski Poland View profile →
Citations per field, relative to M.J. Patyra
M.J. Patyra · 1×
Citations per year, relative to M.J. Patyra
M.J. Patyra · 1×

Countries citing papers authored by M.J. Patyra

Since Specialization
Citations

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

Fields of papers citing papers by M.J. Patyra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.J. Patyra

This figure shows the co-authorship network connecting the top 25 collaborators of M.J. Patyra. A scholar is included among the top collaborators of M.J. Patyra 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 M.J. Patyra. M.J. Patyra 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
# Work Indexed citations
1 5
2 16
3 4
4 17
5 10
6 0
7 2
8 1
9 5
10 1
11 3
12 7
13 1
14
Application of the fuzzy state fuzzy output finite state machine to the problem of recovery from violations of ontological assumptions
2
15 11
16 73
17 7
18 23
19 50
20 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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