P.A. Regalia

44 papers and 1.2k indexed citations i.

About

P.A. Regalia is a scholar working on Computational Mechanics, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, P.A. Regalia has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computational Mechanics, 28 papers in Signal Processing and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in P.A. Regalia’s work include Advanced Adaptive Filtering Techniques (28 papers), Digital Filter Design and Implementation (14 papers) and Image and Signal Denoising Methods (13 papers). P.A. Regalia is often cited by papers focused on Advanced Adaptive Filtering Techniques (28 papers), Digital Filter Design and Implementation (14 papers) and Image and Signal Denoising Methods (13 papers). P.A. Regalia collaborates with scholars based in France, United States and Greece. P.A. Regalia's co-authors include S.K. Mitra, P. P. Vaidyanathan, Athanasios P. Liavas, Jean-Pierre Delmas, Maurice Bellanger, Mamadou Mboup, Eleftherios Kofidis, Philippe Loubaton, Dongyan Huang and Petre Stoica and has published in prestigious journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and IEEE Transactions on Information Theory.

In The Last Decade

Co-authorship network of co-authors of P.A. Regalia i

Fields of papers citing papers by P.A. Regalia

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by P.A. Regalia. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where P.A. Regalia may publish in the future.

Countries citing papers authored by P.A. Regalia

Since Specialization
Citations

This map shows the geographic impact of P.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 P.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 P.A. Regalia more than expected).

Rankless by CCL
2025