Ralph K. Cavin

3.9k citations
111 papers · 2.7k · h-index 26

Impact in

Papers in

Ralph K. Cavin

103 papers receiving 2.6k citations

Peers

Ralph K. Cavin
Comparison fields: 5 of 103
  • Hardware and Architecture 214
  • Electrical and Electronic Engineering 1.8k
  • Computational Theory and Mathematics 400
  • Industrial and Manufacturing Engineering 185
  • Control and Systems Engineering 360
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Citations per year

Countries citing papers authored by Ralph K. Cavin

Since Specialization
Citations

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

Fields of papers citing papers by Ralph K. Cavin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ralph K. Cavin. 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 Ralph K. Cavin. The network helps show where Ralph K. Cavin may publish in the future.

Co-authors

The 25 scholars most cited alongside Ralph K. Cavin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ralph K. Cavin Line = papers co-authored together Ralph K. Cavin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003314
2 2010231
3 2012227
4 2008181
5 1994177
6 201196
7 197196
8 198396
9 201089
10 197766
11 197363
12 200358
13 200653
14 199447
15 200544
16 200741
17 199440
18 201039
19 199438
20 198235

About Ralph K. Cavin

Ralph K. Cavin is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics, Biomedical Engineering, Hardware and Architecture and Computer Networks and Communications, having authored 111 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advancements in Semiconductor Devices and Circuit Design (18 papers), Low-power high-performance VLSI design (17 papers), Advanced Memory and Neural Computing (16 papers), Semiconductor materials and devices (14 papers), Analog and Mixed-Signal Circuit Design (12 papers), Quantum-Dot Cellular Automata (11 papers), Advancements in PLL and VCO Technologies (10 papers) and Quantum and electron transport phenomena (9 papers). The work is most often cited by research in Hardware and Architecture (214 citations), Electrical and Electronic Engineering (1.8k citations), Computational Theory and Mathematics (400 citations), Industrial and Manufacturing Engineering (185 citations) and Control and Systems Engineering (360 citations). Ralph K. Cavin has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include V.V. Zhirnov, George I. Bourianoff, J.A. Hutchby, Paolo Lugli, S.P. Bhattacharyya, Wentai Liu, C. Thomas Gray, Kerry Bernstein, Alan Seabaugh and Wolfgang Porod. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Automatic Control, Journal of Nanoparticle Research, Computer and IEEE Journal of Solid-State Circuits.

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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