Michael Ignatowski

765 citations
8 papers · 564 · h-index 5

Impact in

Papers in

Michael Ignatowski

8 papers receiving 541 citations

Peers

Michael Ignatowski
Comparison fields: 5 of 51
  • Hardware and Architecture 187
  • Computer Networks and Communications 173
  • Electrical and Electronic Engineering 413
  • Computational Mathematics 1
  • Computer Vision and Pattern Recognition 33
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Matt Poremba United States
D. Mills United States
E. Camerlenghi Italy
Yuhao Wang Singapore
Mengjie Mao United States
Sung-Joo Hong South Korea
Dayane Reis United States
Roberto Gastaldi Italy
Zhehui Wang Hong Kong
Michael Ignatowski relative to Matt Poremba United States Matt Poremba's profile →
Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Michael Ignatowski

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ignatowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown

About Michael Ignatowski

Michael Ignatowski is a scholar working on Computer Networks and Communications, Hardware and Architecture, Electrical and Electronic Engineering, Social Psychology and Family Practice, having authored 8 papers that have together received 564 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Advanced Data Storage Technologies (4 papers), Advanced Optical Network Technologies (1 paper), Semiconductor Lasers and Optical Devices (1 paper), Clinical Reasoning and Diagnostic Skills (1 paper), Electroconvulsive Therapy Studies (1 paper), Reflective Practices in Education (1 paper) and Astronomical and nuclear sciences (1 paper). The work is most often cited by research in Hardware and Architecture (187 citations), Computer Networks and Communications (173 citations), Electrical and Electronic Engineering (413 citations), Computational Mathematics (1 citation) and Computer Vision and Pattern Recognition (33 citations). Michael Ignatowski has collaborated with scholars based in United States and Canada. Frequent co-authors include Daniel M. Kuchta, J. A. Kash, Alan F. Benner, M. Ritter, Nuwan Jayasena, Alexander Lyashevsky, Joseph L. Greathouse, Lifan Xu, Sudhanva Gurumurthi and Amin Farmahini-Farahani. Their work appears in journals such as IEEE Computer Architecture Letters, IBM Journal of Research and Development, Journal of Analytical Psychology, The Medicine Forum and PubMed.

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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