Michael S. Pukish

445 total citations · 1 hit paper
9 papers, 332 citations indexed

About

Michael S. Pukish is a scholar working on Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Michael S. Pukish has authored 9 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Control and Systems Engineering and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Michael S. Pukish's work include Fuzzy Logic and Control Systems (4 papers), Neural Networks and Applications (3 papers) and Fault Detection and Control Systems (3 papers). Michael S. Pukish is often cited by papers focused on Fuzzy Logic and Control Systems (4 papers), Neural Networks and Applications (3 papers) and Fault Detection and Control Systems (3 papers). Michael S. Pukish collaborates with scholars based in United States and Poland. Michael S. Pukish's co-authors include Bogdan M. Wilamowski, David W. Hunter, Janusz Kolbusz, Hao Yu, Paweł Różycki, Xing Wu, Feng Zhao, Foster Dai, Wu Xing and J. David Irwin and has published in prestigious journals such as IEEE Transactions on Industrial Informatics and European Microwave Integrated Circuit Conference.

In The Last Decade

Michael S. Pukish

8 papers receiving 315 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Selection of Proper Neural Network Sizes and Architectures—A Comparative Study

2012 305 citations David W. Hunter, Hao Yu et al. IEEE Transactions on Industrial Informatics profile →

Peers

Countries citing papers authored by Michael S. Pukish

Since Specialization

Citations

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

Fields of papers citing papers by Michael S. Pukish

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Pukish. 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 Michael S. Pukish. The network helps show where Michael S. Pukish may publish in the future.

Co-authorship network of co-authors of Michael S. Pukish

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

All Works

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9 of 9 papers shown

#	Work	Indexed citations
1	PolyNet: A Polynomial-Based Learning Machine for Universal Approximation 2015 ·IEEE Transactions on Industrial Informatics ·Michael S. Pukish, Paweł Różycki, Bogdan M. Wilamowski	7
2	A 650 MHz DDFS for stretch processing radar in 130nm BiCMOS process 2013 ·European Microwave Integrated Circuit Conference ·(unknown), (unknown), Feng Zhao, Michael S. Pukish, Foster Dai, (unknown)	5
3	A direct digital synthesis based chirp radar transmitter in 0.13 µm SiGe technology 2013 ·Jianjun Yu, (unknown), Feng Zhao, Fa Foster Dai, (unknown), Michael S. Pukish, (unknown), (unknown), J. David Irwin, R.C. Jaeger, (unknown)	2
4	Segmentation of cerebral cortex MRI images with artificial neural network (ANN) training 2013 ·Michael S. Pukish, (unknown), Bogdan M. Wilamowski	2
5	Current trends in industrial control 2012 ·Xing Wu, Hao Yu, Tiantian Xie, Michael S. Pukish	1
6	Current trends in in-vehicle electrical engineering applications 2012 ·(unknown), (unknown), Michael S. Pukish	3
7	Recent advances in the application of real-time computational intelligence to industrial electronics 2012 ·Michael S. Pukish, (unknown), Xing Wu	5
8	Selection of Proper Neural Network Sizes and Architectures—A Comparative Study breakdown → 2012 ·IEEE Transactions on Industrial Informatics ·David W. Hunter, Hao Yu, Michael S. Pukish, Janusz Kolbusz, Bogdan M. Wilamowski	305
9	Recent developments in wireless hardware design, modeling, and analysis for industrial applications 2012 ·Michael S. Pukish, (unknown), Wu Xing	2

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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