Mario Zampolli

793 total citations
64 papers, 613 citations indexed

About

Mario Zampolli is a scholar working on Oceanography, Ocean Engineering and Geophysics. According to data from OpenAlex, Mario Zampolli has authored 64 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Oceanography, 37 papers in Ocean Engineering and 15 papers in Geophysics. Recurrent topics in Mario Zampolli's work include Underwater Acoustics Research (51 papers), Underwater Vehicles and Communication Systems (20 papers) and Geophysical Methods and Applications (19 papers). Mario Zampolli is often cited by papers focused on Underwater Acoustics Research (51 papers), Underwater Vehicles and Communication Systems (20 papers) and Geophysical Methods and Applications (19 papers). Mario Zampolli collaborates with scholars based in United States, Netherlands and Italy. Mario Zampolli's co-authors include Alessandra Teseï, Finn B. Jensen, John B. Blottman, Steven G. Kargl, Kevin L. Williams, Eric I. Thorsos, Joseph L. Lopes, Philip L. Marston, Michael A. Ainslie and David S. Burnett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and The Journal of the Acoustical Society of America.

In The Last Decade

Mario Zampolli

57 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Zampolli United States 13 447 265 142 124 117 64 613
Henrik Schmidt Germany 12 551 1.2× 418 1.6× 110 0.8× 159 1.3× 56 0.5× 40 931
Nicholas P. Chotiros United States 19 800 1.8× 531 2.0× 73 0.5× 388 3.1× 79 0.7× 96 973
Altan Turgut United States 15 695 1.6× 386 1.5× 47 0.3× 306 2.5× 54 0.5× 54 886
Joseph L. Lopes United States 11 307 0.7× 221 0.8× 54 0.4× 72 0.6× 78 0.7× 29 509
Jens M. Hovem Norway 16 349 0.8× 347 1.3× 444 3.1× 271 2.2× 85 0.7× 42 1.2k
Daniel Rouseff United States 16 545 1.2× 428 1.6× 119 0.8× 85 0.7× 54 0.5× 61 722
Jorge C. Novarini United States 13 302 0.7× 161 0.6× 83 0.6× 37 0.3× 56 0.5× 47 416
Chen‐Fen Huang Taiwan 13 435 1.0× 314 1.2× 28 0.2× 141 1.1× 24 0.2× 61 521
F. Ingenito United States 11 514 1.1× 282 1.1× 80 0.6× 168 1.4× 70 0.6× 19 622
Y. Stéphan France 14 360 0.8× 230 0.9× 29 0.2× 95 0.8× 26 0.2× 60 553

Countries citing papers authored by Mario Zampolli

Since Specialization
Citations

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

Fields of papers citing papers by Mario Zampolli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Zampolli

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Zampolli. A scholar is included among the top collaborators of Mario Zampolli 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 Mario Zampolli. Mario Zampolli 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.
Ouden, Olivier F. C. den, Jelle Assink, Mathieu Basille, et al.. (2023). Albatross movement suggests sensitivity to infrasound cues at sea. Proceedings of the National Academy of Sciences. 120(42). e2218679120–e2218679120. 5 indexed citations
2.
Robinson, Stephen, P M Harris, Lian Wang, et al.. (2023). Impact of the COVID-19 pandemic on levels of deep-ocean acoustic noise. Scientific Reports. 13(1). 4631–4631. 6 indexed citations
3.
Nielsen, Peter L., Mario Zampolli, Ronan Le Bras, et al.. (2020). CTBTO’s Data and Analysis Pertaining to the Search for the Missing Argentine Submarine ARA San Juan. Pure and Applied Geophysics. 178(7). 2557–2577. 15 indexed citations
4.
5.
Nielsen, Peter L., et al.. (2019). Observation and interpretation of recorded long-range, underwater acoustic signal propagation related to the search of the Argentine submarine ARA San Juan. The Journal of the Acoustical Society of America. 146(4_Supplement). 2848–2848. 1 indexed citations
6.
Nielsen, Peter L., et al.. (2018). Analysis of hydro-acoustic and seismic signals originating from a source in the vicinity of the last known location of the Argentinian submarine ARA San Juan. EGU General Assembly Conference Abstracts. 18559. 4 indexed citations
7.
Nielsen, Peter L., et al.. (2018). Localization using P-phases recorded on the CTBT IMS hydro-acoustic stations. EGUGA. 11836. 2 indexed citations
8.
Yamada, Tomoaki, et al.. (2016). Analysis of recordings from underwater controlled sources in the Pacific Ocean received by the International Monitoring System (IMS) of the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO). EGUGA. 1 indexed citations
9.
Zampolli, Mario, et al.. (2015). Re-establishment of the IMS Hydroacoustic Station HA03, Robinson Crusoe Island, Chile. EGUGA. 1721. 1 indexed citations
10.
Hunter, Alan J., et al.. (2012). Passive acoustic detection of closed-circuit underwater breathing apparatus in an operational port environment. The Journal of the Acoustical Society of America. 132(4). EL310–EL316. 13 indexed citations
11.
Beckers, Arnaud, et al.. (2012). Low-Frequency Synthetic Aperture Sonar System for the Detection of Objects Buried in Mud. 3 indexed citations
12.
Hunter, Alan J., et al.. (2011). Improving Protection Agains Intruders Using Passive Sonar. Malaria Journal. 14. 384–384. 1 indexed citations
13.
Hunter, Alan J., et al.. (2011). On the Advantage of Wideband Data Acquisition for Passive Diver Detection. TNO Repository. 2 indexed citations
14.
Williams, Kevin L., et al.. (2011). Acoustic scattering from unexploded ordnance in contact with a sand sediment: Mode identification using finite element models. The Journal of the Acoustical Society of America. 130(4_Supplement). 2330–2330. 1 indexed citations
15.
Williams, Kevin L., et al.. (2011). Acoustic scattering from a metallic pipe: Mode isolation and visualization via finite element analysis. The Journal of the Acoustical Society of America. 130(4_Supplement). 2332–2332.
16.
Jensen, Finn B., et al.. (2010). Finite-element modeling in ocean acoustics: Where are we heading?. AIP conference proceedings. 11–22. 1 indexed citations
17.
Williams, Kevin L., Steven G. Kargl, Eric I. Thorsos, et al.. (2010). Acoustic scattering from a solid aluminum cylinder in contact with a sand sediment: Measurements, modeling, and interpretation. The Journal of the Acoustical Society of America. 127(6). 3356–3371. 86 indexed citations
18.
Chotiros, Nicholas P., et al.. (2007). Modeling of reflection coefficient fluctuation from measured seafloor roughness. 1–5. 2 indexed citations
19.
Teseï, Alessandra, et al.. (2007). At-sea measurements of acoustic elastic scattering by a 1.5m-long cylinder made of composite materials. 4 indexed citations
20.
Zampolli, Mario. (2004). A Finite-Element Tool for Scattering from Localized Inhomogeneities and Submerged Elastic Structures. AIP conference proceedings. 728. 464–471. 1 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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