Michael Niemier

5.5k total citations · 1 hit paper
189 papers, 4.0k citations indexed

About

Michael Niemier is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Michael Niemier has authored 189 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 161 papers in Electrical and Electronic Engineering, 61 papers in Atomic and Molecular Physics, and Optics and 56 papers in Computational Theory and Mathematics. Recurrent topics in Michael Niemier's work include Advanced Memory and Neural Computing (109 papers), Ferroelectric and Negative Capacitance Devices (86 papers) and Semiconductor materials and devices (56 papers). Michael Niemier is often cited by papers focused on Advanced Memory and Neural Computing (109 papers), Ferroelectric and Negative Capacitance Devices (86 papers) and Semiconductor materials and devices (56 papers). Michael Niemier collaborates with scholars based in United States, China and Germany. Michael Niemier's co-authors include Xiaobo Sharon Hu, Xunzhao Yin, Peter M. Kogge, Wolfgang Porod, Gary H. Bernstein, Dayane Reis, Ann Franchesca Laguna, Suman Datta, Kai Ni and Joseph Nahas and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Applied Physics.

In The Last Decade

Michael Niemier

180 papers receiving 3.9k citations

Hit Papers

Ferroelectric ternary content-addressable memory for one-... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Niemier United States 34 3.4k 1.1k 985 550 415 189 4.0k
György Csaba United States 31 2.9k 0.9× 1.2k 1.0× 2.7k 2.7× 569 1.0× 405 1.0× 196 4.4k
Takahiro Hanyu Japan 29 3.1k 0.9× 329 0.3× 1.4k 1.5× 540 1.0× 357 0.9× 329 4.0k
Mohammad Hossein Moaiyeri Iran 37 3.8k 1.1× 1.2k 1.0× 447 0.5× 299 0.5× 434 1.0× 208 4.2k
Keivan Navi Iran 40 5.0k 1.5× 3.2k 2.8× 1.4k 1.4× 736 1.3× 272 0.7× 301 5.8k
Mehdi B. Tahoori Germany 39 5.6k 1.6× 674 0.6× 688 0.7× 987 1.8× 162 0.4× 491 6.7k
Shaahin Angizi United States 29 2.2k 0.6× 1.2k 1.1× 730 0.7× 370 0.7× 46 0.1× 143 2.5k
Ralph K. Cavin United States 26 1.8k 0.5× 400 0.4× 336 0.3× 220 0.4× 409 1.0× 111 2.7k
Mark Anders United States 29 1.9k 0.6× 278 0.2× 330 0.3× 552 1.0× 121 0.3× 143 3.0k
Swaroop Ghosh United States 27 1.9k 0.6× 289 0.3× 249 0.3× 730 1.3× 103 0.2× 204 2.6k
Sorin Cotöfană Netherlands 18 1.1k 0.3× 291 0.3× 418 0.4× 233 0.4× 85 0.2× 219 1.6k

Countries citing papers authored by Michael Niemier

Since Specialization
Citations

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

Fields of papers citing papers by Michael Niemier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Niemier

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Niemier. A scholar is included among the top collaborators of Michael Niemier 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 Niemier. Michael Niemier 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
1.
Geng, Haoran, et al.. (2025). Shared-PIM: Enabling Concurrent Computation and Data Flow for Faster Processing-in-DRAM. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 44(11). 4395–4404.
2.
Hu, Xiaobo Sharon, et al.. (2025). Cross-Layer Design and Design Automation for In-Memory Computing Based on Nonvolatile Memory Technologies. IEEE Design and Test. 42(6). 75–86.
3.
Ni, Kai, Wriddhi Chakraborty, Yogesh Singh Chauhan, et al.. (2024). A Physics-Based Model for Oxide–Semiconductor-Based Ferroelectric Field-Effect Transistors. IEEE Transactions on Electron Devices. 71(7). 4397–4402. 5 indexed citations
4.
Yin, Xunzhao, Franz Müller, Ann Franchesca Laguna, et al.. (2024). Deep random forest with ferroelectric analog content addressable memory. Science Advances. 10(23). eadk8471–eadk8471. 13 indexed citations
5.
Kazemi, Arman, Ann Franchesca Laguna, Rui Lin, et al.. (2022). Experimentally validated memristive memory augmented neural network with efficient hashing and similarity search. Nature Communications. 13(1). 6284–6284. 43 indexed citations
6.
Reis, Dayane, et al.. (2022). Ferroelectric FET Configurable Memory Arrays and Their Applications. 2022 International Electron Devices Meeting (IEDM). 21.5.1–21.5.4. 2 indexed citations
7.
Reis, Dayane, Michael Niemier, & Xiaobo Sharon Hu. (2021). The Implications of Ferroelectric FET Device Models to the Design of Computing-in-Memory Architectures. Journal of Integrated Circuits and Systems. 16(1). 1–8. 2 indexed citations
8.
Laguna, Ann Franchesca, Michael Niemier, & Xiaobo Sharon Hu. (2019). Design of Hardware-Friendly Memory Enhanced Neural Networks. 1583–1586. 21 indexed citations
9.
Nahas, Joseph, et al.. (2015). Analytically Modeling Power and Performance of a CNN System. International Conference on Computer Aided Design. 186–193. 2 indexed citations
10.
Sedighi, Behnam, et al.. (2015). A CNN-inspired mixed signal processor based on tunnel transistors. Design, Automation, and Test in Europe. 1150–1155. 2 indexed citations
11.
Niemier, Michael, et al.. (2014). Cellular neural networks for image analysis using steep slope devices. International Conference on Computer Aided Design. 92–95. 3 indexed citations
12.
Sedighi, Behnam, et al.. (2014). Impact of steep-slope transistors on non-von neumann architectures: CNN case study. Design, Automation, and Test in Europe. 137. 5 indexed citations
13.
Hu, Xiaobo Sharon, et al.. (2014). Design of 3D nanomagnetic logic circuits: a full-adder case study. Design, Automation, and Test in Europe. 119. 2 indexed citations
14.
Hu, Xiaobo Sharon, et al.. (2013). TFET-based cellular neural network architectures. 236–241. 18 indexed citations
15.
Niemier, Michael & S. Kurtz. (2013). Nanomagnet logic: architectures, design, and benchmarking. PhDT. 2 indexed citations
16.
Hu, Xiaobo Sharon, et al.. (2013). Systematic design of nanomagnet logic circuits. Design, Automation, and Test in Europe. 1795–1800. 1 indexed citations
17.
Porod, Wolfgang, Edit Varga, György Csaba, et al.. (2012). NanoMagnet logic. 4 indexed citations
18.
Niemier, Michael, Gary H. Bernstein, György Csaba, et al.. (2011). Nanomagnet logic: progress toward system-level integration. Journal of Physics Condensed Matter. 23(49). 493202–493202. 129 indexed citations
19.
Hu, Xiaobo Sharon, et al.. (2010). Design and comparison of NML systolic architectures. 29–34. 13 indexed citations
20.
Murphy, Richard C., et al.. (2001). Petaflop Computing for Protein Folding.. PPSC. 9 indexed citations

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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