K.R. Crounse
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 5%
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Topics
- Neural Networks Stability and Synchronization (17 papers)Neural Networks and Applications (11 papers)Advanced Memory and Neural Computing (9 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsComputational Theory and Mathematics
- Journals
- International Journal of Bifurcation and ChaosInternational Journal of Circuit Theory and ApplicationsIEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
- Partner nations
- United StatesHungaryChina
In The Last Decade
K.R. Crounse
21 papers receiving 544 citations
Peers
Comparison fields: 5 of 49
- Computer Networks and Communications 468
- Artificial Intelligence 233
- Statistical and Nonlinear Physics 167
- Computational Theory and Mathematics 157
- Electrical and Electronic Engineering 156
Countries citing papers authored by K.R. Crounse
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
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-authorship network of co-authors of K.R. Crounse
This figure shows the co-authorship network connecting the top 25 collaborators of K.R. Crounse. A scholar is included among the top collaborators of K.R. Crounse 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 K.R. Crounse. K.R. Crounse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 15 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 20 | |
| 8 | 20 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 18 | |
| 12 | 26 | |
| 13 | Image processing techniques for cellular neural network hardware | 11 |
| 14 | 23 | |
| 15 | 7 | |
| 16 | 44 | |
| 17 | 190 | |
| 18 | 97 | |
| 19 | Parallel analog image coding and decoding by using cellular neural networks | 8 |
| 20 | 68 |
About K.R. Crounse
K.R. Crounse is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 21 papers that have together received 572 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (17 papers), Neural Networks and Applications (11 papers) and Advanced Memory and Neural Computing (9 papers). The work is most often cited by research in Computer Networks and Communications (468 citations), Statistical and Nonlinear Physics (167 citations) and Computational Theory and Mathematics (157 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 and IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences.
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.