Stanley C. Ahalt
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 2%
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Ashok KrishnamurthyDouglas E. MeltonHye‐Chung KumChao HeYuan F. ZhengFrederick GarberJames E. FowlerIsmail Jouny
- Topics
- Neural Networks and Applications (18 papers)Advanced Data Compression Techniques (14 papers)Image and Signal Denoising Methods (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Power SystemsIEEE Transactions on Signal Processing
- Partner nations
- United StatesSpainCzechia
In The Last Decade
Stanley C. Ahalt
101 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 141
- Artificial Intelligence 715
- Computer Vision and Pattern Recognition 543
- Signal Processing 258
- Control and Systems Engineering 140
- Electrical and Electronic Engineering 112
Countries citing papers authored by Stanley C. Ahalt
This map shows the geographic impact of Stanley C. Ahalt'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 Stanley C. Ahalt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanley C. Ahalt more than expected).
Fields of papers citing papers by Stanley C. Ahalt
This network shows the impact of papers produced by Stanley C. Ahalt. 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 Stanley C. Ahalt. The network helps show where Stanley C. Ahalt may publish in the future.
Co-authorship network of co-authors of Stanley C. Ahalt
This figure shows the co-authorship network connecting the top 25 collaborators of Stanley C. Ahalt. A scholar is included among the top collaborators of Stanley C. Ahalt 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 Stanley C. Ahalt. Stanley C. Ahalt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 12 | |
| 7 | 13 | |
| 8 | 43 | |
| 9 | 15 | |
| 10 | Organizing and the Cyberinfrastructure Workforce | 2 |
| 11 | 38 | |
| 12 | 13 | |
| 13 | High Performance Computing Instrumentation and Research Productivity in U.S. Universities | 19 |
| 14 | 6 | |
| 15 | 13 | |
| 16 | 13 | |
| 17 | 21 | |
| 18 | 16 | |
| 19 | 11 | |
| 20 | Performance of Synthetic Neural Network Classification of Noisy Radar Signals | 14 |
About Stanley C. Ahalt
Stanley C. Ahalt is a scholar working on Signal Processing, Information Systems and Management and Computer Vision and Pattern Recognition, having authored 110 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neural Networks and Applications (18 papers), Advanced Data Compression Techniques (14 papers) and Image and Signal Denoising Methods (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (543 citations), Signal Processing (258 citations) and Artificial Intelligence (715 citations). Stanley C. Ahalt has collaborated with scholars based in United States, Spain and Czechia. Frequent co-authors include Ashok Krishnamurthy, Douglas E. Melton, Hye‐Chung Kum, Chao He, Yuan F. Zheng, Frederick Garber, James E. Fowler, Ismail Jouny, Adriana Dapena and Karamarie Fecho. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Power Systems 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.