Anthony Kuh
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Signal Processing top 5%
- Computational Mechanics top 10%
- Co-authors
- Danilo P. MandicB. DickinsonA. KavcicYing HuThomas PetscheSu Lee GohKazuyuki AiharaYih-Fang Huang
- Topics
- Neural Networks and Applications (19 papers)Advanced Adaptive Filtering Techniques (16 papers)Distributed Sensor Networks and Detection Algorithms (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Information TheoryIEEE Transactions on Signal Processing
- Partner nations
- United StatesNorwayUnited Kingdom
In The Last Decade
Anthony Kuh
72 papers receiving 758 citations
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 389
- Electrical and Electronic Engineering 297
- Control and Systems Engineering 158
- Signal Processing 151
- Computational Mechanics 114
Countries citing papers authored by Anthony Kuh
This map shows the geographic impact of Anthony Kuh'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 Anthony Kuh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony Kuh more than expected).
Fields of papers citing papers by Anthony Kuh
This network shows the impact of papers produced by Anthony Kuh. 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 Anthony Kuh. The network helps show where Anthony Kuh may publish in the future.
Co-authorship network of co-authors of Anthony Kuh
This figure shows the co-authorship network connecting the top 25 collaborators of Anthony Kuh. A scholar is included among the top collaborators of Anthony Kuh 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 Anthony Kuh. Anthony Kuh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | Self-Sustaining Meteorological Wireless Sensor Networks | 3 |
| 6 | Stochastic queuing models for distributed PV energy | 1 |
| 7 | 4 | |
| 8 | 24 | |
| 9 | 99 | |
| 10 | 3 | |
| 11 | Sensor Network Localization Using Pattern Recognition and Least Squares Kernel Methods | 2 |
| 12 | 1 | |
| 13 | 11 | |
| 14 | 0 | |
| 15 | 9 | |
| 16 | 6 | |
| 17 | 3 | |
| 18 | Incrementally Learning Time-varying Half-planes | 7 |
| 19 | Learning Time-varying Concepts | 47 |
| 20 | Performance Measures for Associative Memories that Learn and Forget | 1 |
About Anthony Kuh
Anthony Kuh is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 80 papers that have together received 790 indexed citations. Recurring topics across this work include Neural Networks and Applications (19 papers), Advanced Adaptive Filtering Techniques (16 papers) and Distributed Sensor Networks and Detection Algorithms (9 papers). The work is most often cited by research in Signal Processing (151 citations), Artificial Intelligence (389 citations) and Developmental Biology (17 citations). Anthony Kuh has collaborated with scholars based in United States, Norway and United Kingdom. Frequent co-authors include Danilo P. Mandic, B. Dickinson, A. Kavcic, Ying Hu, Thomas Petsche, Su Lee Goh, Kazuyuki Aihara, Yih-Fang Huang, Stefan Werner and Matthias Fripp. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and IEEE Transactions on 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.