Shane Hollmer

550 total citations
10 papers, 358 citations indexed

About

Shane Hollmer is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Infectious Diseases. According to data from OpenAlex, Shane Hollmer has authored 10 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 1 paper in Cellular and Molecular Neuroscience and 0 papers in Infectious Diseases. Recurrent topics in Shane Hollmer's work include Advanced Memory and Neural Computing (10 papers), Semiconductor materials and devices (9 papers) and Ferroelectric and Negative Capacitance Devices (7 papers). Shane Hollmer is often cited by papers focused on Advanced Memory and Neural Computing (10 papers), Semiconductor materials and devices (9 papers) and Ferroelectric and Negative Capacitance Devices (7 papers). Shane Hollmer collaborates with scholars based in United States. Shane Hollmer's co-authors include Michael N. Kozicki, Foroozan Koushan, J. J. Sáenz, Janet Wang, John R. Jameson, C. Gopalan, Yiyi Ma, Paul T. Blanchard, Benton H. Calhoun and Yanqing Zhang and has published in prestigious journals such as Applied Physics Letters, Proceedings of the IEEE and IEEE Electron Device Letters.

In The Last Decade

Shane Hollmer

10 papers receiving 331 citations

Peers

Shane Hollmer

EEE

CMN

PP

MC

CN

Stefan Wiefels Germany

Shuichiro Yasuda United States

K. Tsunoda Japan

S. Muraoka Japan

Wei-Su Chen Taiwan

Gilbert Sassine France

M. Balakrishnan United States

Yoocharn Jeon United States

Wenjia Ma China

Stefan Wiefels Germany

Shane Hollmer

372 ×1.1

EEE

141 ×1.3

CMN

81 ×1.0

PP

66 ×0.9

MC

41 ×1.9

CN

Citations per year, relative to Shane Hollmer Shane Hollmer (= 1×) peers Stefan Wiefels

Countries citing papers authored by Shane Hollmer

Since Specialization

Citations

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

Fields of papers citing papers by Shane Hollmer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shane Hollmer

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

All Works

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10 of 10 papers shown

1.

Jameson, John R., et al.. (2018). Towards Automotive Grade Embedded RRAM. 58–61. 10 indexed citations

2.

Kamalanathan, Deepak, et al.. (2016). An Ultra Low-Power Non-Volatile Memory Design Enabled by Subquantum Conductive-Bridge RAM. 98. 1–4. 4 indexed citations

3.

Zhang, Yanqing, et al.. (2013). A 0.6V 8 pJ/write non-volatile CBRAM macro embedded in a body sensor node for ultra low energy applications. 24 indexed citations

4.

Jameson, John R., Foroozan Koushan, J. J. Sáenz, et al.. (2012). Quantized Conductance in $\hbox{Ag/GeS}_{2}/\hbox{W}$ Conductive-Bridge Memory Cells. IEEE Electron Device Letters. 33(2). 257–259. 74 indexed citations

5.

Jameson, John R., Foroozan Koushan, J. J. Sáenz, et al.. (2012). Effects of cooperative ionic motion on programming kinetics of conductive-bridge memory cells. Applied Physics Letters. 100(2). 19 indexed citations

6.

Jameson, John R., Foroozan Koushan, J. J. Sáenz, et al.. (2011). One-dimensional model of the programming kinetics of conductive-bridge memory cells. Applied Physics Letters. 99(6). 42 indexed citations

7.

Hollmer, Shane, et al.. (2011). A High Performance and Low Power Logic CMOS Compatible Embedded 1Mb CBRAM Non-Volatile Macro. 1–4. 4 indexed citations

8.

Hollmer, Shane, et al.. (2010). Power and Energy Perspectives of Nonvolatile Memory Technologies. Proceedings of the IEEE. 98(2). 283–298. 62 indexed citations

9.

Gopalan, C., Yiyi Ma, J. J. Sáenz, et al.. (2010). Demonstration of Conductive Bridging Random Access Memory (CBRAM) in logic CMOS process. Solid-State Electronics. 58(1). 54–61. 102 indexed citations

10.

Gopalan, C., Ma Yi, Janet Wang, et al.. (2010). Demonstration of Conductive Bridging Random Access Memory (CBRAM) in Logic CMOS Process. 1–4. 17 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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