Timothy J. Dysart

18 papers receiving 1.0k citations

Hit Papers

QCADesigner: A Rapid Design and Simulation Tool for Quant...20042026201120182004250500750

Peers

Timothy J. Dysart
Comparison fields: 5 of 29
  • Computational Theory and Mathematics 1.0k
  • Electrical and Electronic Engineering 973
  • Atomic and Molecular Physics, and Optics 471
  • Artificial Intelligence 92
  • Hardware and Architecture 51
Replace Jun‐Cheol Jeon with:
Jun‐Cheol Jeon South Korea
Seyed‐Sajad Ahmadpour Türkiye
Ghassem Jaberipur Iran
Trailokya Nath Sasamal India
Mozammel H. A. Khan Bangladesh
Keivan Navi Iran
Mehdi Saeedi Iran
Carmen G. Almudéver Netherlands
Saurabh Kotiyal United States
Timothy J. Dysart relative to Jun‐Cheol Jeon South Korea Jun‐Cheol Jeon's profile →
Citations per field
00.5×5.7×
Jun‐Cheol Jeon · 1×
Citations per year

Countries citing papers authored by Timothy J. Dysart

Since Specialization
Citations

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

Fields of papers citing papers by Timothy J. Dysart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy J. Dysart. 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 Timothy J. Dysart. The network helps show where Timothy J. Dysart may publish in the future.

Co-authorship network of co-authors of Timothy J. Dysart

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy J. Dysart. A scholar is included among the top collaborators of Timothy J. Dysart 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 Timothy J. Dysart. Timothy J. Dysart 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
#WorkIndexed citations
1 0
2 0
3 3
4 31
5 1
6 25
7 17
8 24
9 1
10 21
11
It's all about the signal routing: understanding the reliability of qca circuits and systems
5
12 10
13 1
14 4
15 32
16 22
17 46
18
QCADesigner: A Rapid Design and Simulation Tool for Quantum-Dot Cellular Automatabreakdown →
850
19 11
20 3

About Timothy J. Dysart

Timothy J. Dysart is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Electrical and Electronic Engineering, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Quantum-Dot Cellular Automata (14 papers), Advanced Memory and Neural Computing (10 papers) and Advancements in Semiconductor Devices and Circuit Design (7 papers). The work is most often cited by research in Computational Theory and Mathematics (1.0k citations), Electrical and Electronic Engineering (973 citations) and Atomic and Molecular Physics, and Optics (471 citations). Timothy J. Dysart has collaborated with scholars based in United States and Canada. Frequent co-authors include R. Arief Budiman, Konrad Walus, G.A. Jullien, Peter M. Kogge, Richard C. Murphy, Michael Niemier, Craig S. Lent, Danny Z. Chen, Xiaobo Sharon Hu and Jay Brockman. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Nanotechnology and ACM Journal on Emerging Technologies in Computing Systems.

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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