Michael Wieckowski

1.6k total citations · 1 hit paper
25 papers, 1.2k citations indexed

About

Michael Wieckowski is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Biomedical Engineering. According to data from OpenAlex, Michael Wieckowski has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 6 papers in Hardware and Architecture and 5 papers in Biomedical Engineering. Recurrent topics in Michael Wieckowski's work include Low-power high-performance VLSI design (11 papers), Semiconductor materials and devices (10 papers) and Advancements in Semiconductor Devices and Circuit Design (7 papers). Michael Wieckowski is often cited by papers focused on Low-power high-performance VLSI design (11 papers), Semiconductor materials and devices (10 papers) and Advancements in Semiconductor Devices and Circuit Design (7 papers). Michael Wieckowski collaborates with scholars based in United States. Michael Wieckowski's co-authors include Dennis Sylvester, David Blaauw, Ronald Dreslinski, Trevor Mudge, Mingoo Seok, Gregory Chen, Gyouho Kim, David Fick, Razi Haque and Kensall D. Wise and has published in prestigious journals such as Proceedings of the IEEE, Communications of the ACM and IEEE Journal of Solid-State Circuits.

In The Last Decade

Michael Wieckowski

25 papers receiving 1.1k citations

Hit Papers

Near-Threshold Computing: Reclaiming Moore's Law Through ... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers

Michael Wieckowski
Comparison fields: 5 of 59
  • Electrical and Electronic Engineering 1.0k
  • Hardware and Architecture 335
  • Biomedical Engineering 269
  • Computer Networks and Communications 194
  • Mechanical Engineering 92
Replace A. Wang with:
A. Wang United States
Alan J. Weger United States
Muhammad Khellah United States
K. Bernstein United States
Viera Stopjaková Slovakia
Daeyeon Kim United States
Volkan Kursun United States
Sang Phill Park United States
Brian Cline United States
Scott Hanson United States
A. Wang United States View profile →
Citations per field, relative to Michael Wieckowski
Michael Wieckowski · 1×
Citations per year, relative to Michael Wieckowski
Michael Wieckowski · 1×

Countries citing papers authored by Michael Wieckowski

Since Specialization
Citations

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

Fields of papers citing papers by Michael Wieckowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Wieckowski

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Wieckowski. A scholar is included among the top collaborators of Michael Wieckowski 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 Wieckowski. Michael Wieckowski 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 29
2 8
3 1
4 88
5 27
6 3
7 61
8 6
9 169
10 36
11
Near-Threshold Computing: Reclaiming Moore's Law Through Energy Efficient Integrated Circuits breakdown →
594
12
Near-Threshold Computing: Reclaiming Moore's Law Through Energy Efficient Integrated Circuits Future computer systems promise to achieve an energy reduction of 100 or more times with memory design, device structure, device fabrication techniques, and clocking, all optimized for low-voltage operation.
2
13 16
14 7
15 2
16 2
17 32
18 13
19 3
20 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026