K.R. Crounse

791 citations
21 papers · 575 · h-index 11

Impact in

Papers in

K.R. Crounse

21 papers receiving 547 citations

Peers

K.R. Crounse
Comparison fields: 5 of 49
  • Computer Networks and Communications 470
  • Statistical and Nonlinear Physics 168
  • Computational Theory and Mathematics 157
  • Artificial Intelligence 233
  • Cognitive Neuroscience 67
Replace T. Kozek with:
T. Kozek Hungary
Gabriele Manganaro United States
Recai Kılıç Türkiye
P. Szolgay Hungary
I. Reidler Israel
Yaara Aviad Israel
Kazuya Amano Japan
Jun Muramatsu Japan
Hiroyuki Someya Japan
Isao Oowada Japan
K.R. Crounse relative to T. Kozek Hungary T. Kozek's profile →
Citations per field
00.5×
T. Kozek · 1×
Citations per year

Countries citing papers authored by K.R. Crounse

Since Specialization
Citations

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

Fields of papers citing papers by K.R. Crounse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside K.R. Crounse, 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 K.R. Crounse Line = papers co-authored together K.R. Crounse links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995192
2 199597
3 199368
4 199644
5 199726
6 199623
7 200021
8 200020
9 199818
10 200215
11
Image processing techniques for cellular neural network hardware
199711
12
Parallel analog image coding and decoding by using cellular neural networks
19948
13 19967
14 20027
15 19986
16 20023
17 20022
18 20022
19 20012
20 20022

About K.R. Crounse

K.R. Crounse is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 21 papers that have together received 575 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (17 papers), Neural Networks and Applications (11 papers), Advanced Memory and Neural Computing (9 papers), Cellular Automata and Applications (8 papers), stochastic dynamics and bifurcation (6 papers), Nonlinear Dynamics and Pattern Formation (4 papers), DNA and Biological Computing (2 papers) and Molecular Communication and Nanonetworks (1 paper). The work is most often cited by research in Computer Networks and Communications (470 citations), Statistical and Nonlinear Physics (168 citations), Computational Theory and Mathematics (157 citations), Artificial Intelligence (233 citations) and Cognitive Neuroscience (67 citations). K.R. Crounse has collaborated with scholars based in United States, Hungary and China. Frequent co-authors include Leon O. Chua, Patrick Thiran, T. Roska, M. Hasler, Lequan Min, Gianluca Setti, Radu Dogaru, Tao Yang, Tamás Roska and Mamoru Tanaka. Their work appears in journals such as International Journal of Bifurcation and Chaos, International Journal of Circuit Theory and Applications, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications and IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing.

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.

Explore authors with similar magnitude of impact