Norman C. Griswold
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Aerospace Engineering
- Automotive Engineering top 10%
- Signal Processing top 10%
- Co-authors
- Nasser KehtarnavazDae-Seong KangG.L. WiseMark YearyJ.F. Duque-CarrilloJ.M. ValverdeGunhee HanE. Sánchez‐Sinencio
- Topics
- Image and Signal Denoising Methods (9 papers)Advanced Data Compression Techniques (9 papers)Autonomous Vehicle Technology and Safety (7 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceGeophysicsIEEE Transactions on Vehicular Technology
- Partner nations
- United StatesSpain
In The Last Decade
Norman C. Griswold
31 papers receiving 352 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 288
- Media Technology 71
- Aerospace Engineering 67
- Automotive Engineering 60
- Signal Processing 60
Countries citing papers authored by Norman C. Griswold
This map shows the geographic impact of Norman C. Griswold'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 Norman C. Griswold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norman C. Griswold more than expected).
Fields of papers citing papers by Norman C. Griswold
This network shows the impact of papers produced by Norman C. Griswold. 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 Norman C. Griswold. The network helps show where Norman C. Griswold may publish in the future.
Co-authorship network of co-authors of Norman C. Griswold
This figure shows the co-authorship network connecting the top 25 collaborators of Norman C. Griswold. A scholar is included among the top collaborators of Norman C. Griswold 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 Norman C. Griswold. Norman C. Griswold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 41 | |
| 6 | 1 | |
| 7 | 40 | |
| 8 | 2 | |
| 9 | The hierarchical structure of neural network for the complicated data set classification problems | 1 |
| 10 | 47 | |
| 11 | 45 | |
| 12 | 3 | |
| 13 | A special-purpose architecture for a real-time stereo vision model | 0 |
| 14 | 8 | |
| 15 | 7 | |
| 16 | Superselectivity of the excitation of multilevel systems by adiabatically switched-on resonance radiation | 1 |
| 17 | 2 | |
| 18 | 10 | |
| 19 | Video Bandwidth Compression. | 1 |
| 20 | 1 |
About Norman C. Griswold
Norman C. Griswold is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Automotive Engineering, having authored 35 papers that have together received 388 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (9 papers), Advanced Data Compression Techniques (9 papers) and Autonomous Vehicle Technology and Safety (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (288 citations), Media Technology (71 citations) and Signal Processing (60 citations). Norman C. Griswold has collaborated with scholars based in United States and Spain. Frequent co-authors include Nasser Kehtarnavaz, Dae-Seong Kang, G.L. Wise, Mark Yeary, J.F. Duque-Carrillo, J.M. Valverde, Gunhee Han, E. Sánchez‐Sinencio, Chun‐Wei Yeh and Weizhong Chen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Geophysics and IEEE Transactions on Vehicular Technology.
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.