L. Siegel
- Computer Networks and Communications top 5%
- Hardware and Architecture top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Howard Jay SiegelStuart D. SmithP. H. SwainM.A. YoderEdward J. DelpTrevor MudgeEdward C. BronsonK. Steiglitz
- Topics
- Speech and Audio Processing (9 papers)Speech Recognition and Synthesis (8 papers)Advanced Data Compression Techniques (4 papers)
- Journals
- IEEE Transactions on Software EngineeringIEEE Transactions on ComputersIEEE Transactions on Acoustics Speech and Signal Processing
- Partner nations
- United States
In The Last Decade
L. Siegel
18 papers receiving 338 citations
Peers
Comparison fields: 5 of 40
- Computer Networks and Communications 174
- Hardware and Architecture 163
- Artificial Intelligence 99
- Signal Processing 95
- Computer Vision and Pattern Recognition 90
Countries citing papers authored by L. Siegel
This map shows the geographic impact of L. Siegel'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 L. Siegel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Siegel more than expected).
Fields of papers citing papers by L. Siegel
This network shows the impact of papers produced by L. Siegel. 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 L. Siegel. The network helps show where L. Siegel may publish in the future.
Co-authorship network of co-authors of L. Siegel
This figure shows the co-authorship network connecting the top 25 collaborators of L. Siegel. A scholar is included among the top collaborators of L. Siegel 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 L. Siegel. L. Siegel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | PASM: a partitionable SIMD/MIMD system for image processing and pattern recognition | 9 |
| 10 | Parallel algorithms for computer vision | 4 |
| 11 | A parallel algorithm for finding the roots of a polynomial. | 6 |
| 12 | A parallel architecture for acoustic processing in speech understanding. | 4 |
| 13 | 41 | |
| 14 | Parallel algorithm performance measures | 2 |
| 15 | 21 | |
| 16 | 39 | |
| 17 | 187 | |
| 18 | PASM: A Partitionable Multimicrocomputer SIMD/MIMD System for Image Processing and Pattern Recognition. | 3 |
| 19 | 38 | |
| 20 | 0 |
About L. Siegel
L. Siegel is a scholar working on Signal Processing, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 379 indexed citations. Recurring topics across this work include Speech and Audio Processing (9 papers), Speech Recognition and Synthesis (8 papers) and Advanced Data Compression Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (163 citations), Signal Processing (95 citations) and Computer Networks and Communications (174 citations). L. Siegel has collaborated with scholars based in United States. Frequent co-authors include Howard Jay Siegel, Stuart D. Smith, P. H. Swain, M.A. Yoder, Edward J. Delp, Trevor Mudge, Edward C. Bronson, K. Steiglitz and Edward J. Coyle. Their work appears in journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Computers and IEEE Transactions on Acoustics Speech and 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.