G. Lauer

516 total citations
11 papers, 241 citations indexed

About

G. Lauer is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, G. Lauer has authored 11 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Atomic and Molecular Physics, and Optics, 8 papers in Electrical and Electronic Engineering and 3 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in G. Lauer's work include Magnetic properties of thin films (10 papers), Advanced Memory and Neural Computing (6 papers) and Ferroelectric and Negative Capacitance Devices (4 papers). G. Lauer is often cited by papers focused on Magnetic properties of thin films (10 papers), Advanced Memory and Neural Computing (6 papers) and Ferroelectric and Negative Capacitance Devices (4 papers). G. Lauer collaborates with scholars based in United States. G. Lauer's co-authors include P. L. Trouilloud, J. Z. Sun, G. Hu, J. Nowak, D. C. Worledge, Anthony Annunziata, E. J. O’Sullivan, Younghyun Kim, S. Brown and Nathan Marchack and has published in prestigious journals such as AIP Advances, IEEE Magnetics Letters and 2021 IEEE International Electron Devices Meeting (IEDM).

In The Last Decade

G. Lauer

11 papers receiving 221 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Lauer United States 7 193 170 65 34 29 11 241
Renren He 5 251 1.3× 170 1.0× 109 1.7× 56 1.6× 68 2.3× 5 298
Jesmin Haq 5 251 1.3× 171 1.0× 109 1.7× 56 1.6× 68 2.3× 6 299
Dongna Shen 5 251 1.3× 171 1.0× 109 1.7× 56 1.6× 68 2.3× 6 299
S. Shirotori Japan 12 256 1.3× 214 1.3× 88 1.4× 45 1.3× 62 2.1× 29 331
Xiaoxuan Zhao China 6 219 1.1× 249 1.5× 76 1.2× 26 0.8× 50 1.7× 8 329
M. Amano Japan 9 127 0.7× 111 0.7× 44 0.7× 16 0.5× 43 1.5× 18 164
T. Maffitt United States 7 185 1.0× 187 1.1× 71 1.1× 29 0.9× 34 1.2× 9 260
S. Lammers United States 6 143 0.7× 141 0.8× 37 0.6× 16 0.5× 28 1.0× 6 196
Kotb Jabeur France 10 238 1.2× 274 1.6× 76 1.2× 28 0.8× 60 2.1× 27 383
Jiaqi Lu China 7 267 1.4× 198 1.2× 126 1.9× 54 1.6× 64 2.2× 14 334

Countries citing papers authored by G. Lauer

Since Specialization
Citations

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

Fields of papers citing papers by G. Lauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Lauer

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

All Works

11 of 11 papers shown
1.
Hu, G., G. Lauer, J. Z. Sun, et al.. (2021). 2X reduction of STT-MRAM switching current using double spin-torque magnetic tunnel junction. 2021 IEEE International Electron Devices Meeting (IEDM). 2.5.1–2.5.4. 21 indexed citations
2.
Edwards, Eric R. J., G. Hu, S. Brown, et al.. (2020). Demonstration of narrow switching distributions in STTMRAM arrays for LLC applications at 1x nm node. 24.4.1–24.4.4. 7 indexed citations
3.
Sun, J. Z., P. L. Trouilloud, G. Lauer, & Pouya Hashemi. (2019). Bias dependent conductance in CoFeB-MgO-CoFeB magnetic tunnel junctions as an indicator for electrode magnetic condition at barrier interfaces. AIP Advances. 9(1). 6 indexed citations
4.
Hu, G., J. Nowak, M. Gottwald, et al.. (2019). Reliable Five-Nanosecond Writing of Spin-Transfer Torque Magnetic Random-Access Memory. IEEE Magnetics Letters. 10. 1–4. 15 indexed citations
5.
Hu, G., J. Nowak, G. Lauer, et al.. (2017). Low-current Spin Transfer Torque MRAM. 1–2. 6 indexed citations
6.
Hu, G., J. Nowak, G. Lauer, et al.. (2017). Low-current Spin Transfer Torque MRAM. 7. 1–2. 4 indexed citations
7.
O’Sullivan, E. J., Anthony Annunziata, Jemima Gonsalves, et al.. (2017). Etching Methods for STT-MRAM. ECS Meeting Abstracts. MA2017-02(26). 1138–1138. 1 indexed citations
8.
Nowak, J., J. Z. Sun, G. Hu, et al.. (2016). Dependence of Voltage and Size on Write Error Rates in Spin-Transfer Torque Magnetic Random-Access Memory. IEEE Magnetics Letters. 7. 1–4. 109 indexed citations
9.
Nowak, J., J. Z. Sun, G. Hu, et al.. (2016). Voltage and Size Dependence on Write-Error-Rates in STT MRAM down to 11 nm Junction Size. 2 indexed citations
10.
Hu, G., J. Nowak, J. Z. Sun, et al.. (2015). STT-MRAM with double magnetic tunnel junctions. 26.3.1–26.3.4. 64 indexed citations
11.
Worledge, D. C., Anthony Annunziata, S. Brown, et al.. (2015). Low-current spin transfer torque MRAM. 2015 IEEE Magnetics Conference (INTERMAG). 1–1. 6 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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