Michele Martino

508 total citations
43 papers, 386 citations indexed

About

Michele Martino is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Michele Martino has authored 43 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Electrical and Electronic Engineering, 18 papers in Biomedical Engineering and 9 papers in Computer Networks and Communications. Recurrent topics in Michele Martino's work include Advanced Electrical Measurement Techniques (12 papers), Superconducting Materials and Applications (12 papers) and Particle Accelerators and Free-Electron Lasers (11 papers). Michele Martino is often cited by papers focused on Advanced Electrical Measurement Techniques (12 papers), Superconducting Materials and Applications (12 papers) and Particle Accelerators and Free-Electron Lasers (11 papers). Michele Martino collaborates with scholars based in Switzerland, Italy and Spain. Michele Martino's co-authors include A. Masi, R. Losito, Giovanni Spiezia, Alessandro Danisi, Mark Butcher, Alireza Karimi, Pasquale Arpaïa, Pedro Rodríguez, Costantino Citro and Kumars Rouzbehi and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Review of Scientific Instruments and IEEE Transactions on Control Systems Technology.

In The Last Decade

Michele Martino

40 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michele Martino Switzerland 11 272 154 99 81 62 43 386
Wenqi Lu China 11 236 0.9× 35 0.2× 248 2.5× 40 0.5× 151 2.4× 48 447
A. Wright United States 10 179 0.7× 38 0.2× 65 0.7× 16 0.2× 57 0.9× 30 301
R.D. Thornton United States 12 214 0.8× 30 0.2× 178 1.8× 62 0.8× 48 0.8× 38 363
W. Chr. Heerens Netherlands 10 242 0.9× 125 0.8× 51 0.5× 162 2.0× 94 1.5× 16 421
Seung-Ho Song South Korea 11 172 0.6× 15 0.1× 169 1.7× 23 0.3× 53 0.9× 52 332
Jérôme Juillard France 12 289 1.1× 60 0.4× 119 1.2× 193 2.4× 121 2.0× 47 475
Dong Tang China 11 180 0.7× 102 0.7× 17 0.2× 50 0.6× 15 0.2× 75 354
Roel Merry Netherlands 13 147 0.5× 40 0.3× 396 4.0× 95 1.2× 168 2.7× 25 497
Ha Xuan Nguyen South Korea 11 95 0.3× 113 0.7× 142 1.4× 77 1.0× 107 1.7× 26 336

Countries citing papers authored by Michele Martino

Since Specialization
Citations

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

Fields of papers citing papers by Michele Martino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Martino

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Martino. A scholar is included among the top collaborators of Michele Martino 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 Michele Martino. Michele Martino 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.
Kovačić, Marinko, et al.. (2024). The Upgraded CERN DC-current Calibrator. 1–2. 1 indexed citations
3.
Martino, Michele, et al.. (2024). A Dynamic Equalization Topology Based on Auxiliary Cell: Theoretical and Simulative Analyses. CINECA IRIS Institutial research information system (University of Pisa). 1–6.
4.
Martino, Michele, et al.. (2023). Design and Metrological Characterization of a Digitizer for the Highest Precision Magnet Powering in the High Luminosity Large Hadron Collider. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 2 indexed citations
5.
Martino, Michele, et al.. (2022). A Metrology-grade Digitizer for Power Converters in the High Luminosity Large Hadron Collider. CERN Document Server (European Organization for Nuclear Research). 1. 1–6. 2 indexed citations
6.
Gamba, Davide, Rogelio Tomás, M. Giovannozzi, et al.. (2019). Update of beam dynamics requirements for HL-LHC electrical circuits. CERN Document Server (European Organization for Nuclear Research). 4 indexed citations
7.
Martino, Michele, et al.. (2018). A Robust Data-Driven Controller Design Methodology With Applications to Particle Accelerator Power Converters. IEEE Transactions on Control Systems Technology. 27(2). 814–821. 13 indexed citations
8.
Martino, Michele, et al.. (2017). A data-driven approach to power converter control via convex optimization. 2017 IEEE Conference on Control Technology and Applications (CCTA). 1466–1471. 3 indexed citations
9.
Arpaïa, Pasquale, et al.. (2015). Metrological characterization of an ultra-low noise acquisition system for fast voltage pulses measurements. CERN Document Server (European Organization for Nuclear Research). 1532–1536. 1 indexed citations
10.
Arpaïa, Pasquale, et al.. (2015). Type-A Worst-Case Uncertainty for Gaussian noise instruments. Journal of Instrumentation. 10(7). P07007–P07007. 2 indexed citations
11.
Rouzbehi, Kumars, et al.. (2015). Comparative efficiency study of single phase photovoltaic grid connected inverters using PLECS®. UPCommons institutional repository (Universitat Politècnica de Catalunya). 536–541. 9 indexed citations
12.
Arpaïa, Pasquale, et al.. (2014). ±25 ppm repeatable measurement of trapezoidal pulses with 5 MHz bandwidth. Journal of Instrumentation. 9(6). P06002–P06002. 5 indexed citations
13.
Arpaïa, Pasquale, et al.. (2014). Extreme Value Statistical Characterization of Time Domain Pulse-to-Pulse Measurements. CERN Document Server (European Organization for Nuclear Research). 1 indexed citations
14.
Martino, Michele, et al.. (2012). Intelligent control for a DC micro-grid system. VBN Forskningsportal (Aalborg Universitet). 1–5. 7 indexed citations
15.
Masi, A., G. Conte, R. Losito, & Michele Martino. (2011). DRIVING THE LHC COLLIMATORS' STEPPING MOTORS OVER 1 KM WITH HIGH ACCURACY AVOIDING EMI EFFECTS. CERN Document Server (European Organization for Nuclear Research). 1626–1628. 2 indexed citations
16.
Martino, Michele, R. Losito, & A. Masi. (2011). Analytical metrological characterization of the three-parameter sine fit algorithm. ISA Transactions. 51(2). 262–270. 21 indexed citations
17.
Martino, Michele, et al.. (2010). An analytical model of the effect of external DC magnetic fields on the AC voltages of an LVDT. 213–218. 18 indexed citations
18.
Masi, A., et al.. (2008). LVDT Conditioning on the LHC Collimators. IEEE Transactions on Nuclear Science. 55(1). 67–75. 25 indexed citations
19.
Masi, A., G. Conte, R. Losito, & Michele Martino. (2008). DSP-Based Stepping Motor Drivers for the LHC Collimators. IEEE Transactions on Nuclear Science. 55(1). 341–348. 10 indexed citations
20.
Martino, Michele, et al.. (2006). An Electric Fence Energizer Design Method. 727–732. 13 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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