Kirk Prall

583 total citations
16 papers, 397 citations indexed

About

Kirk Prall is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Kirk Prall has authored 16 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 2 papers in Computer Networks and Communications and 1 paper in Computational Theory and Mathematics. Recurrent topics in Kirk Prall's work include Semiconductor materials and devices (15 papers), Advanced Memory and Neural Computing (8 papers) and Ferroelectric and Negative Capacitance Devices (8 papers). Kirk Prall is often cited by papers focused on Semiconductor materials and devices (15 papers), Advanced Memory and Neural Computing (8 papers) and Ferroelectric and Negative Capacitance Devices (8 papers). Kirk Prall collaborates with scholars based in United States. Kirk Prall's co-authors include Krishna Parat, Makoto Kitagawa, D. Mills, Tomohito Tsushima, Roberto Bez, K. W. Holtzclaw, Xiaonan Chen, Nirmal Ramaswamy, J. Strand and G. Atwood and has published in prestigious journals such as IEEE Transactions on Electron Devices, IEEE Electron Device Letters and MRS Proceedings.

In The Last Decade

Kirk Prall

15 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kirk Prall United States 6 347 104 57 34 33 16 397
Xingqi Zou China 11 290 0.8× 114 1.1× 31 0.5× 26 0.8× 52 1.6× 24 347
Pei-Ying Du Taiwan 15 527 1.5× 154 1.5× 217 3.8× 44 1.3× 14 0.4× 55 591
Liang Yan China 5 214 0.6× 42 0.4× 21 0.4× 50 1.5× 50 1.5× 13 271
Hassen Aziza France 12 494 1.4× 31 0.3× 29 0.5× 56 1.6× 99 3.0× 45 521
Yuhao Wang Singapore 11 277 0.8× 86 0.8× 20 0.4× 64 1.9× 21 0.6× 26 347
E. Camerlenghi Italy 7 506 1.5× 256 2.5× 152 2.7× 78 2.3× 32 1.0× 14 703
Akifumi Kawahara Japan 6 484 1.4× 69 0.7× 43 0.8× 62 1.8× 103 3.1× 7 514
Z. Abid Canada 8 356 1.0× 24 0.2× 49 0.9× 37 1.1× 32 1.0× 36 371
Chien-Chen Lin Taiwan 10 387 1.1× 61 0.6× 19 0.3× 141 4.1× 25 0.8× 14 432
Keh-Chung Wang Taiwan 13 493 1.4× 118 1.1× 36 0.6× 57 1.7× 38 1.2× 74 565

Countries citing papers authored by Kirk Prall

Since Specialization
Citations

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

Fields of papers citing papers by Kirk Prall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kirk Prall

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

All Works

16 of 16 papers shown
1.
Prall, Kirk. (2025). CMOS Plasma and Process Damage.
2.
Prall, Kirk. (2017). Benchmarking and Metrics for Emerging Memory. 1–5. 23 indexed citations
3.
Kitagawa, Makoto, et al.. (2014). 19.7 A 16Gb ReRAM with 200MB/s write and 1GB/s read in 27nm technology. 338–339. 167 indexed citations
4.
Atwood, G., et al.. (2014). A semiconductor memory development and manufacturing perspective. 1–6. 3 indexed citations
5.
Atwood, G., et al.. (2014). A semiconductor memory development and manufacturing perspective. 1–6. 4 indexed citations
6.
Ramaswamy, Nirmal, Haitao Liu, Kirk Prall, et al.. (2013). Engineering a planar NAND cell scalable to 20nm and beyond. 5–8. 3 indexed citations
7.
Prall, Kirk, Nirmal Ramaswamy, K. W. Holtzclaw, et al.. (2012). An Update on Emerging Memory: Progress to 2Xnm. 1–5. 21 indexed citations
8.
Prall, Kirk. (2011). Scaling Challenges for NAND and Replacement Memory Technology. MRS Proceedings. 1337. 1 indexed citations
9.
Prall, Kirk & Krishna Parat. (2010). 25nm 64Gb MLC NAND technology and scaling challenges invited paper. 5.2.1–5.2.4. 34 indexed citations
10.
Mouli, Chandra, et al.. (2007). Trends in memory technology - reliability perspectives, challenges and opportunities. 130–134. 3 indexed citations
11.
Prall, Kirk. (2007). Scaling Non-Volatile Memory Below 30nm. 105 indexed citations
13.
Chen, Chun, et al.. (2002). Direct observation of secondary ionization current in n-channel MOSFETs. IEEE Transactions on Electron Devices. 49(12). 2301–2307. 1 indexed citations
14.
Felch, Susan B., et al.. (2002). Formation of deep sub-micron buried channel pMOSFETs with plasma doping. 753–756. 1 indexed citations
15.
Prall, Kirk & R. Schenk. (1994). Suppression of reverse biased diode leakage by MeV ion implantation. IEEE Electron Device Letters. 15(5). 163–165. 3 indexed citations
16.
Prall, Kirk, et al.. (1987). Characterization and suppression of drain coupling in submicrometer EPROM cells. IEEE Transactions on Electron Devices. 34(12). 2463–2468. 27 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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