Federico Lombardi

626 total citations
29 papers, 456 citations indexed

About

Federico Lombardi is a scholar working on Ocean Engineering, Geophysics and Biomedical Engineering. According to data from OpenAlex, Federico Lombardi has authored 29 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Ocean Engineering, 20 papers in Geophysics and 18 papers in Biomedical Engineering. Recurrent topics in Federico Lombardi's work include Geophysical Methods and Applications (26 papers), Microwave Imaging and Scattering Analysis (18 papers) and Seismic Waves and Analysis (9 papers). Federico Lombardi is often cited by papers focused on Geophysical Methods and Applications (26 papers), Microwave Imaging and Scattering Analysis (18 papers) and Seismic Waves and Analysis (9 papers). Federico Lombardi collaborates with scholars based in Italy, United Kingdom and Australia. Federico Lombardi's co-authors include Maurizio Lualdi, Paolo Bestagini, Stefano Tubaro, Silvia Lameri, Hugh Griffiths, Alessio Balleri, Roberto Felicetti, Francesco Lo Monte, Mercedes Solla and Frank Podd and has published in prestigious journals such as Cement and Concrete Research, Construction and Building Materials and Geophysical Journal International.

In The Last Decade

Federico Lombardi

28 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federico Lombardi Italy 13 301 196 144 126 45 29 456
Guido Manacorda Italy 10 303 1.0× 143 0.7× 128 0.9× 71 0.6× 35 0.8× 28 341
Maurizio Lualdi Italy 17 470 1.6× 302 1.5× 197 1.4× 231 1.8× 50 1.1× 58 721
Peter Annan United States 6 514 1.7× 304 1.6× 136 0.9× 140 1.1× 42 0.9× 12 566
Asger Eriksen United Kingdom 10 384 1.3× 210 1.1× 104 0.7× 92 0.7× 72 1.6× 28 441
Ramón González‐Drigo Spain 14 285 0.9× 171 0.9× 116 0.8× 255 2.0× 14 0.3× 42 571
Nectaria Diamanti Greece 15 555 1.8× 305 1.6× 193 1.3× 86 0.7× 29 0.6× 54 651
Ralf Birken United States 12 358 1.2× 264 1.3× 71 0.5× 164 1.3× 22 0.5× 61 582
D. Di Capua Spain 8 210 0.7× 115 0.6× 93 0.6× 70 0.6× 8 0.2× 18 327
Jun Cai China 10 290 1.0× 343 1.8× 52 0.4× 22 0.2× 11 0.2× 39 513
Yuxiao Ren China 14 548 1.8× 661 3.4× 45 0.3× 74 0.6× 26 0.6× 31 813

Countries citing papers authored by Federico Lombardi

Since Specialization
Citations

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

Fields of papers citing papers by Federico Lombardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Lombardi

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Lombardi. A scholar is included among the top collaborators of Federico Lombardi 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 Federico Lombardi. Federico Lombardi 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.
Lombardi, Federico, Bianca Ortuani, Arianna Facchi, & Maurizio Lualdi. (2022). Assessing the Perspectives of Ground Penetrating Radar for Precision Farming. Remote Sensing. 14(23). 6066–6066. 10 indexed citations
2.
Lombardi, Federico, Frank Podd, & Mercedes Solla. (2022). From Its Core to the Niche: Insights from GPR Applications. Remote Sensing. 14(13). 3033–3033. 20 indexed citations
3.
Shen, Lei, Francesco Lo Monte, Giovanni Di Luzio, et al.. (2021). On the moisture migration of concrete subject to high temperature with different heating rates. Cement and Concrete Research. 146. 106492–106492. 41 indexed citations
4.
Bestagini, Paolo, et al.. (2021). Landmine Detection Using Autoencoders on Multipolarization GPR Volumetric Data. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 36 indexed citations
5.
Lombardi, Federico, Maurizio Lualdi, & Elsa Garavaglia. (2021). Masonry texture reconstruction for building seismic assessment: Practical evaluation and potentials of Ground Penetrating Radar methodology. Construction and Building Materials. 299. 124189–124189. 13 indexed citations
6.
Lombardi, Federico, et al.. (2020). Ballistic Ground Penetrating Radar Equipment for Blast-Exposed Security Applications. Remote Sensing. 12(4). 717–717. 8 indexed citations
7.
Lombardi, Federico & Maurizio Lualdi. (2019). Step-Frequency Ground Penetrating Radar for Agricultural Soil Morphology Characterisation. Remote Sensing. 11(9). 1075–1075. 19 indexed citations
8.
Lombardi, Federico & Maurizio Lualdi. (2018). Multi-Azimuth Ground Penetrating Radar Surveys to Improve the Imaging of Complex Fractures. Geosciences. 8(11). 425–425. 5 indexed citations
9.
Testa, Giuseppe, et al.. (2018). Convolutional Autoencoder for Landmine Detection on GPR Scans. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 20 indexed citations
10.
Lombardi, Federico, Hugh Griffiths, & Alessio Balleri. (2018). Landmine internal structure detection from ground penetrating radar images. CERES (Cranfield University). 1201–1206. 5 indexed citations
11.
Lameri, Silvia, Federico Lombardi, Paolo Bestagini, Maurizio Lualdi, & Stefano Tubaro. (2017). Landmine detection from GPR data using convolutional neural networks. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 508–512. 85 indexed citations
12.
Monte, Francesco Lo, Federico Lombardi, Roberto Felicetti, & Maurizio Lualdi. (2017). Ground-Penetrating Radar monitoring of concrete at high temperature. Construction and Building Materials. 151. 881–888. 21 indexed citations
13.
Lombardi, Federico, Hugh Griffiths, Lauren Wright, & Alessio Balleri. (2017). Dependence of landmine radar signature on aspect angle. IET Radar Sonar & Navigation. 11(6). 892–902. 10 indexed citations
14.
Lombardi, Federico, Hugh Griffiths, & Maurizio Lualdi. (2016). The influence of spatial sampling in GPR surveys for the detection of landmines and IEDs. UCL Discovery (University College London). 322–325. 4 indexed citations
15.
Lombardi, Federico, Hugh Griffiths, & Alessio Balleri. (2016). Influence of internal structure on landmine radar signatures. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 4 indexed citations
16.
Felicetti, Roberto, Francesco Lo Monte, Maurizio Lualdi, & Federico Lombardi. (2015). Concrete Damage and Spalling Monitoring in Fire Tests via Ultrasonic Pulse-Echo and Ground-Penetrating Radar. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–10. 2 indexed citations
17.
Lualdi, Maurizio & Federico Lombardi. (2014). Utilities detection through the sum of orthogonal polarization in 3D georadar surveys. Near Surface Geophysics. 13(1). 73–82. 11 indexed citations
18.
Lualdi, Maurizio & Federico Lombardi. (2013). Orthogonal polarization approach for three dimensional georadar surveys. NDT & E International. 60. 87–99. 10 indexed citations
19.
Lualdi, Maurizio & Federico Lombardi. (2013). Effects of antenna orientation on 3-D ground penetrating radar surveys: an archaeological perspective. Geophysical Journal International. 196(2). 818–827. 19 indexed citations
20.
Lombardi, Federico & G. Orlandi. (1975). Design considerations for a receiver for digital fibre-optic communication systems. Electronics Letters. 11(18). 439–440.

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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