A. Premoli

1.3k total citations
98 papers, 947 citations indexed

About

A. Premoli is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Signal Processing. According to data from OpenAlex, A. Premoli has authored 98 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Electrical and Electronic Engineering, 27 papers in Biomedical Engineering and 18 papers in Signal Processing. Recurrent topics in A. Premoli's work include Digital Filter Design and Implementation (17 papers), Advanced Adaptive Filtering Techniques (9 papers) and Scientific Measurement and Uncertainty Evaluation (9 papers). A. Premoli is often cited by papers focused on Digital Filter Design and Implementation (17 papers), Advanced Adaptive Filtering Techniques (9 papers) and Scientific Measurement and Uncertainty Evaluation (9 papers). A. Premoli collaborates with scholars based in Italy, Switzerland and Belgium. A. Premoli's co-authors include Patrizia Tavella, Maria Luisa Rastello, Stefano Pastore, Mario Biey, Angelo Brambilla, Daniele Rovera, Andrea De Marchi, Sabine Van Huffel, Ivan Markovsky and Alexander Kukush and has published in prestigious journals such as IEEE Transactions on Microwave Theory and Techniques, Mathematical Programming and IEEE Electron Device Letters.

In The Last Decade

A. Premoli

85 papers receiving 870 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A. Premoli Italy 16 274 168 155 103 101 98 947
Daniel P. Petersen United States 10 236 0.9× 77 0.5× 72 0.5× 138 1.3× 53 0.5× 27 840
Věnceslav F. Kroupa Czechia 13 475 1.7× 169 1.0× 81 0.5× 201 2.0× 39 0.4× 29 837
J.C. Olivier South Africa 20 354 1.3× 100 0.6× 104 0.7× 47 0.5× 22 0.2× 121 1.3k
P M Harris United Kingdom 22 193 0.7× 352 2.1× 99 0.6× 14 0.1× 64 0.6× 144 1.5k
Andrew K. Chan United States 15 148 0.5× 97 0.6× 99 0.6× 118 1.1× 63 0.6× 61 1.1k
G. V. Anand India 18 103 0.4× 41 0.2× 52 0.3× 195 1.9× 159 1.6× 73 961
Andreas Rieder Germany 20 277 1.0× 257 1.5× 33 0.2× 34 0.3× 31 0.3× 63 1.1k
Lei Cheng China 20 640 2.3× 140 0.8× 214 1.4× 211 2.0× 102 1.0× 107 1.5k
M. P. Ekstrom United States 12 71 0.3× 68 0.4× 39 0.3× 183 1.8× 36 0.4× 29 886
J. H. Justice United States 10 93 0.3× 57 0.3× 28 0.2× 301 2.9× 38 0.4× 26 832

Countries citing papers authored by A. Premoli

Since Specialization
Citations

This map shows the geographic impact of A. Premoli'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 A. Premoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Premoli more than expected).

Fields of papers citing papers by A. Premoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Premoli. 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 A. Premoli. The network helps show where A. Premoli may publish in the future.

Co-authorship network of co-authors of A. Premoli

This figure shows the co-authorship network connecting the top 25 collaborators of A. Premoli. A scholar is included among the top collaborators of A. Premoli 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 A. Premoli. A. Premoli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gajani, Giancarlo Storti, Angelo Brambilla, & A. Premoli. (2008). Numerical Determination of Possible Multiple DC Solutions of Nonlinear Circuits. IEEE Transactions on Circuits and Systems I Regular Papers. 55(4). 1074–1083. 20 indexed citations
2.
Brambilla, Angelo & A. Premoli. (2001). Rigorous event-driven (RED) analysis of large-scale nonlinear RC circuits. IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications. 48(8). 938–946. 10 indexed citations
3.
Premoli, A. & Giancarlo Storti Gajani. (2001). Revisitation of Recyprocity of Linear Resistive K-Ports. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 129–132. 1 indexed citations
4.
Brambilla, Angelo, A. Premoli, & Giancarlo Storti Gajani. (1999). Electro-Thermal Nonlinear Phenomena in Power Diodes. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 2 indexed citations
5.
Premoli, A. & Maria Luisa Rastello. (1994). Minimax refining of wideband antireflection coatings for wide angular incidence. Applied Optics. 33(10). 2018–2018. 19 indexed citations
6.
Rastello, Maria Luisa & A. Premoli. (1994). Stack-by-stack synthesis of antireflection coatings with wide-angular incidence. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2253. 21–21. 1 indexed citations
7.
Premoli, A. & Maria Luisa Rastello. (1990). Stochastic synthesis of multilayers. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1270. 18–18. 4 indexed citations
8.
Biey, Mario & A. Premoli. (1985). Tables for Active Filter Design: Based on Cauer MCPER Functions. Medical Entomology and Zoology. 1 indexed citations
9.
Biey, Mario & A. Premoli. (1984). A review of low pole-Q approximation methods for active filter design. Circuits Systems and Signal Processing. 3(1). 79–104. 4 indexed citations
10.
Biey, Mario & A. Premoli. (1981). Low-Q approximation of filters with prescribed attenuation shape. IEE Proceedings G (Electronic Circuits and Systems). 128(4). 149–149. 2 indexed citations
11.
Bobbio, Andrea, et al.. (1980). Multi-state homogeneous Markov models in reliability analysis. Microelectronics Reliability. 20(6). 875–880. 12 indexed citations
12.
13.
Biey, Mario & A. Premoli. (1978). Design of low-pass maximally flat RC-active filters with multiple real pole: The MURROMAF polynomials. IEEE Transactions on Circuits and Systems. 25(4). 196–200. 9 indexed citations
14.
Biey, Mario & A. Premoli. (1977). High-Q low-cost RC active filters: The RIMF section. IEEE Transactions on Circuits and Systems. 24(1). 35–41.
15.
Premoli, A.. (1975). Design of maximally-flat RC-active filters with low Q-factors - Tables and graphs of the MUCROMAF polynomials. 44. 684–689. 6 indexed citations
16.
Premoli, A.. (1973). The MUCROMAF polynomials: An approach to the maximally flat approximation of RC active filters with low sensitivity. IEEE Transactions on Circuit Theory. 20(1). 77–80. 21 indexed citations
17.
Agostini, Giancarlo, et al.. (1971). DENSITY MEASUREMENTS OF STEAM--WATER MIXTURES FLOWING IN A TUBULAR CHANNEL UNDER ADIABATIC AND HEATED CONDITIONS.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations
18.
Premoli, A.. (1970). Analysis and synthesis of cascaded noncommensurable transmission lines, shunted by lumped capacitances. Electronics Letters. 6(2). 36–37. 1 indexed citations
19.
Colombo, Alessandro, et al.. (1968). STEAM--WATER MIXTURE DENSITY MEASUREMENTS IN HEATED CHANNELS AT HIGH PRESSURE BY MEANS OF A QUICK-CLOSING VALVE METHOD.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
20.
Cimorelli, Luigi & A. Premoli. (1966). MEASUREMENT OF VOID FRACTION WITH IMPEDANCE GAUGE TECHNIQUE. 3 indexed citations

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.

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