T. Maggipinto

2.0k total citations · 1 hit paper
72 papers, 1.4k citations indexed

About

T. Maggipinto is a scholar working on Electrical and Electronic Engineering, Geophysics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, T. Maggipinto has authored 72 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 23 papers in Geophysics and 19 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in T. Maggipinto's work include Earthquake Detection and Analysis (23 papers), Semiconductor Lasers and Optical Devices (20 papers) and Seismic Waves and Analysis (18 papers). T. Maggipinto is often cited by papers focused on Earthquake Detection and Analysis (23 papers), Semiconductor Lasers and Optical Devices (20 papers) and Seismic Waves and Analysis (18 papers). T. Maggipinto collaborates with scholars based in Italy, Russia and Japan. T. Maggipinto's co-authors include M. Brambilla, G. Tissoni, Lorenzo Spinelli, M. Giudici, S. Balle, Stéphane Barland, Jorge R. Tredicce, T. Knödl, R. Jäger and Michael Miller and has published in prestigious journals such as Nature, Physical Review Letters and Applied Physics Letters.

In The Last Decade

T. Maggipinto

67 papers receiving 1.4k citations

Hit Papers

Cavity solitons as pixels in semiconductor microcavities 2002 2026 2010 2018 2002 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Maggipinto Italy 20 671 521 408 368 282 72 1.4k
P. Carelli Italy 20 627 0.9× 70 0.1× 285 0.7× 110 0.3× 26 0.1× 101 1.1k
L.M. Hively United States 17 86 0.1× 112 0.2× 62 0.2× 286 0.8× 39 0.1× 59 1.3k
Ralf Gommers United Kingdom 9 325 0.5× 109 0.2× 51 0.1× 290 0.8× 26 0.1× 13 917
P. S. Landa Russia 18 359 0.5× 901 1.7× 148 0.4× 1.2k 3.2× 19 0.1× 74 1.7k
Christos N. Capsalis Greece 20 211 0.3× 165 0.3× 922 2.3× 22 0.1× 23 0.1× 175 1.4k
Alireza Bahraminasab Iran 15 302 0.5× 87 0.2× 67 0.2× 129 0.4× 35 0.1× 25 727
J. R. Tredicce France 28 1.5k 2.2× 1.5k 2.9× 1.0k 2.5× 881 2.4× 8 0.0× 62 2.6k
Ali Abedi United States 20 908 1.4× 353 0.7× 572 1.4× 60 0.2× 10 0.0× 132 1.8k
A. G. Balanov United Kingdom 23 622 0.9× 961 1.8× 342 0.8× 947 2.6× 6 0.0× 100 1.9k
Natalia Janson United Kingdom 19 214 0.3× 800 1.5× 397 1.0× 785 2.1× 4 0.0× 52 1.6k

Countries citing papers authored by T. Maggipinto

Since Specialization
Citations

This map shows the geographic impact of T. Maggipinto'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 T. Maggipinto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Maggipinto more than expected).

Fields of papers citing papers by T. Maggipinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Maggipinto

This figure shows the co-authorship network connecting the top 25 collaborators of T. Maggipinto. A scholar is included among the top collaborators of T. Maggipinto 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 T. Maggipinto. T. Maggipinto 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.
Monaco, A., Loredana Bellantuono, Roberto Cazzolla Gatti, et al.. (2025). Measuring water pollution effects on antimicrobial resistance through explainable artificial intelligence. Environmental Pollution. 367. 125620–125620. 2 indexed citations
2.
Amoroso, Nicola, et al.. (2025). Deep Learning for NO2 Forecasting in Italy: An LSTM-Based Approach. Procedia Computer Science. 270. 5463–5472.
3.
Pomarico, Domenico, A. Monaco, Nicola Amoroso, et al.. (2025). Emerging generalization advantage of quantum-inspired machine learning in the diagnosis of hepatocellular carcinoma. Discover Applied Sciences. 7(3). 1 indexed citations
4.
Pantaleo, Ester, A. Monaco, Loredana Bellantuono, et al.. (2025). A joint complex network and machine learning approach for the identification of discriminative gene communities in autistic brain. PLoS ONE. 20(11). e0334181–e0334181.
5.
Alexandrov, A., Takashi Asada, G. De Lellis, et al.. (2024). From dark matter searches to proton therapy: Measuring target fragmentation with nanometric nuclear emulsions. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1070. 170006–170006.
6.
Monaco, A., Ester Pantaleo, T. Maggipinto, et al.. (2024). Estimation of Daily Ground Level Air Pollution in Italian Municipalities with Machine Learning Models Using Sentinel-5P and ERA5 Data. Remote Sensing. 16(7). 1206–1206. 3 indexed citations
7.
Tateo, Andrea, Nicola Amoroso, Loredana Bellantuono, et al.. (2023). Predicting Air Quality from Measured and Forecast Meteorological Data: A Case Study in Southern Italy. Atmosphere. 14(3). 475–475. 2 indexed citations
8.
Bellantuono, Loredana, Marianna La Rocca, Dominique Duncan, et al.. (2020). Predicting brain age with complex networks: From adolescence to adulthood. NeuroImage. 225. 117458–117458. 49 indexed citations
9.
Amoroso, Nicola, Marianna La Rocca, Loredana Bellantuono, et al.. (2019). Deep Learning and Multiplex Networks for Accurate Modeling of Brain Age. Frontiers in Aging Neuroscience. 11. 115–115. 45 indexed citations
10.
Amoroso, Nicola, Marianna La Rocca, Stefania Bruno, et al.. (2018). Multiplex Networks for Early Diagnosis of Alzheimer's Disease. Frontiers in Aging Neuroscience. 10. 365–365. 30 indexed citations
11.
Zaharis, Zaharias D., et al.. (2017). Evaluation of disturbances detected on a VLF/LF receiver inside the preparation zone of a sequence of earthquakes.. EGUGA. 2961. 1 indexed citations
12.
Maggipinto, T., R. Bellotti, Nicola Amoroso, et al.. (2017). DTI measurements for Alzheimer’s classification. Physics in Medicine and Biology. 62(6). 2361–2375. 50 indexed citations
13.
Maggipinto, T., P. F. Biagi, R. Colella, et al.. (2015). The LF radio anomaly observed before the M w  = 6.5 earthquake in Crete on October 12, 2013. Physics and Chemistry of the Earth Parts A/B/C. 85-86. 98–105. 5 indexed citations
14.
Biagi, P. F., T. Maggipinto, L. Schiavulli, et al.. (2013). The European VLF/LF Radio Network: Advances and Recent Results. OAR@UM (University of Malta). 15. 1 indexed citations
15.
Biagi, P. F., et al.. (2012). THE INFREP EUROPEAN VLF/LF RADIO MONITORING NETWORK - PRESENT STATUS AND PRELIMINARY RESULTS OF THE ROMANIAN MONITORING SYSTEM *. 64(1). 263–274. 2 indexed citations
16.
Biagi, P. F., T. Maggipinto, L. Castellana, & A. Ermini. (2009). Simulation of a step by step prediction of the M=4.7 earthquake occurred in central Italy on August 22, 2005. EGUGA. 2485. 1 indexed citations
17.
Biagi, P. F., L. Castellana, T. Maggipinto, et al.. (2009). A pre seismic radio anomaly revealed in the area where the Abruzzo earthquake (<i>M</i>=6.3) occurred on 6 April 2009. Natural hazards and earth system sciences. 9(5). 1551–1556. 23 indexed citations
18.
Brambilla, Massimo, T. Maggipinto, Giuseppe Patera, & Lorenzo Columbo. (2004). Cavity Light Bullets: Three-Dimensional Localized Structures in a Nonlinear Optical Resonator. Physical Review Letters. 93(20). 203901–203901. 45 indexed citations
19.
Barland, Stéphane, Jorge R. Tredicce, M. Brambilla, et al.. (2002). Cavity solitons as pixels in semiconductor microcavities. Nature. 419(6908). 699–702. 428 indexed citations breakdown →
20.
Maggipinto, T., G. Nardulli, S. Dusini, et al.. (1997). ROLE OF NEURAL NETWORKS IN THE SEARCH OF THE HIGGS BOSON AT LHC. 8 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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