Phillip A. Regalia
- Computational Mathematics top 0.5%
- Computational Mechanics top 5%
- Signal Processing top 5%
- Computational Theory and Mathematics top 2%
- Electrical and Electronic Engineering
- Co-authors
- Eleftherios KofidisJohn MacLaren WalshJing WangMaurice BellangerYingbin LiangAshish KhistiStefano TomasinS.K. Mitra
- Topics
- Advanced Adaptive Filtering Techniques (14 papers)Error Correcting Code Techniques (10 papers)Blind Source Separation Techniques (10 papers)
- Journals
- Proceedings of the IEEEIEEE Transactions on Information TheoryIEEE Transactions on Communications
- Partner nations
- United StatesFranceGreece
In The Last Decade
Phillip A. Regalia
40 papers receiving 673 citations
Peers
Comparison fields: 5 of 56
- Computational Mathematics 271
- Computational Mechanics 237
- Signal Processing 233
- Computational Theory and Mathematics 208
- Electrical and Electronic Engineering 147
Countries citing papers authored by Phillip A. Regalia
This map shows the geographic impact of Phillip A. Regalia'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 Phillip A. Regalia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip A. Regalia more than expected).
Fields of papers citing papers by Phillip A. Regalia
This network shows the impact of papers produced by Phillip A. Regalia. 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 Phillip A. Regalia. The network helps show where Phillip A. Regalia may publish in the future.
Co-authorship network of co-authors of Phillip A. Regalia
This figure shows the co-authorship network connecting the top 25 collaborators of Phillip A. Regalia. A scholar is included among the top collaborators of Phillip A. Regalia 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 Phillip A. Regalia. Phillip A. Regalia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 10 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | Connecting Belief Propagation with Maximum Likelihood Detection | 5 |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 19 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 32 | |
| 19 | 5 | |
| 20 | Active RC crossover networks with adjustable characteristics | 3 |
About Phillip A. Regalia
Phillip A. Regalia is a scholar working on Computational Mathematics, Signal Processing and Computational Mechanics, having authored 43 papers that have together received 740 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (14 papers), Error Correcting Code Techniques (10 papers) and Blind Source Separation Techniques (10 papers). The work is most often cited by research in Computational Mathematics (271 citations), Signal Processing (233 citations) and Numerical Analysis (72 citations). Phillip A. Regalia has collaborated with scholars based in United States, France and Greece. Frequent co-authors include Eleftherios Kofidis, John MacLaren Walsh, Jing Wang, Maurice Bellanger, Yingbin Liang, Ashish Khisti, Stefano Tomasin, S.K. Mitra, François Desbouvries and Jan Schier. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and IEEE Transactions on Communications.
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.