Tim Le Bas

1.3k total citations
29 papers, 732 citations indexed

About

Tim Le Bas is a scholar working on Oceanography, Ecology and Atmospheric Science. According to data from OpenAlex, Tim Le Bas has authored 29 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oceanography, 7 papers in Ecology and 7 papers in Atmospheric Science. Recurrent topics in Tim Le Bas's work include Underwater Acoustics Research (8 papers), Geology and Paleoclimatology Research (7 papers) and Maritime and Coastal Archaeology (5 papers). Tim Le Bas is often cited by papers focused on Underwater Acoustics Research (8 papers), Geology and Paleoclimatology Research (7 papers) and Maritime and Coastal Archaeology (5 papers). Tim Le Bas collaborates with scholars based in United Kingdom, Italy and United States. Tim Le Bas's co-authors include Douglas G. Masson, A. B. Watts, Roger Úrgeles, Miquel Canals, Aaron Micallef, P.P.E. Weaver, Sybille van den Hove, Federica Foglini, Marco Taviani and Lorenzo Angeletti and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, PLoS ONE and Remote Sensing.

In The Last Decade

Tim Le Bas

27 papers receiving 721 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Le Bas United Kingdom 16 266 229 224 188 163 29 732
Eleonora Martorelli Italy 19 340 1.3× 260 1.1× 248 1.1× 395 2.1× 118 0.7× 61 954
Alexandre C. G. Schimel Australia 14 411 1.5× 338 1.5× 78 0.3× 136 0.7× 185 1.1× 22 731
Emmanuel Poizot France 16 158 0.6× 190 0.8× 129 0.6× 216 1.1× 86 0.5× 39 725
Kakani Nageswara Rao India 16 135 0.5× 321 1.4× 108 0.5× 333 1.8× 239 1.5× 56 902
G. Chronis Greece 18 545 2.0× 216 0.9× 157 0.7× 273 1.5× 241 1.5× 24 1.0k
Hesham M. El-Asmar Egypt 15 175 0.7× 298 1.3× 69 0.3× 241 1.3× 213 1.3× 37 957
D. N. Chayes United States 8 396 1.5× 158 0.7× 382 1.7× 419 2.2× 142 0.9× 23 1.1k
Jarosław Tęgowski Poland 18 495 1.9× 299 1.3× 51 0.2× 172 0.9× 148 0.9× 53 752
Dayton Dove United Kingdom 20 226 0.8× 189 0.8× 77 0.3× 505 2.7× 120 0.7× 42 905
Dwight F. Coleman United States 15 173 0.7× 107 0.5× 222 1.0× 130 0.7× 75 0.5× 34 682

Countries citing papers authored by Tim Le Bas

Since Specialization
Citations

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

Fields of papers citing papers by Tim Le Bas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Le Bas. 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 Tim Le Bas. The network helps show where Tim Le Bas may publish in the future.

Co-authorship network of co-authors of Tim Le Bas

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Le Bas. A scholar is included among the top collaborators of Tim Le Bas 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 Tim Le Bas. Tim Le Bas 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.
2.
Hall, Alex, et al.. (2023). Application of random-forest machine learning algorithm for mineral predictive mapping of Fe-Mn crusts in the World Ocean. Ore Geology Reviews. 162. 105671–105671. 28 indexed citations
3.
Price, David M., Stacey L. Felgate, Veerle A.I. Huvenne, et al.. (2022). Quantifying the Intra-Habitat Variation of Seagrass Beds with Unoccupied Aerial Vehicles (UAVs). Remote Sensing. 14(3). 480–480. 17 indexed citations
4.
Bialik, Or M., et al.. (2022). Mesophotic Depth Biogenic Accumulations (“Biogenic Mounds”) Offshore the Maltese Islands, Central Mediterranean Sea. Frontiers in Marine Science. 9. 5 indexed citations
5.
Prampolini, Mariacristina, Lorenzo Angeletti, Giorgio Castellan, et al.. (2021). Benthic Habitat Map of the Southern Adriatic Sea (Mediterranean Sea) from Object-Based Image Analysis of Multi-Source Acoustic Backscatter Data. Remote Sensing. 13(15). 2913–2913. 18 indexed citations
6.
Osuka, Kennedy, Colin J. McClean, Bryce D. Stewart, et al.. (2020). Characteristics of shallow and mesophotic environments of the Pemba Channel, Tanzania: Implications for management and conservation. Ocean & Coastal Management. 200. 105463–105463. 15 indexed citations
7.
Diesing, Markus, et al.. (2020). Limitations of Predicting Substrate Classes on a Sedimentary Complex but Morphologically Simple Seabed. Remote Sensing. 12(20). 3398–3398. 41 indexed citations
8.
Hayman, Nicholas W., et al.. (2019). Volcanic‐Tectonic Structure of the Mount Dent Oceanic Core Complex in the Ultraslow Mid‐Cayman Spreading Center Determined From Detailed Seafloor Investigation. Geochemistry Geophysics Geosystems. 20(3). 1298–1318. 8 indexed citations
9.
Schimel, Alexandre C. G., et al.. (2018). Multibeam sonar backscatter data processing. Marine Geophysical Research. 39(1-2). 121–137. 64 indexed citations
10.
Harmon, Nicholas, Catherine A. Rychert, Matthew Agius, et al.. (2018). Marine Geophysical Investigation of the Chain Fracture Zone in the Equatorial Atlantic From the PI‐LAB Experiment. Journal of Geophysical Research Solid Earth. 123(12). 11016–11030. 32 indexed citations
11.
Micallef, Aaron, Angelo Camerlenghi, Aggeliki Georgiopoulou, et al.. (2018). Geomorphic evolution of the Malta Escarpment and implications for the Messinian evaporative drawdown in the eastern Mediterranean Sea. Geomorphology. 327. 264–283. 25 indexed citations
12.
13.
Murton, Bramley J., et al.. (2017). Using bathymetry and reflective seismic profiles to tests a suspected link between melt flux and cumulative fault heave at mid-ocean ridges. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
14.
Micallef, Aaron, Aggeliki Georgiopoulou, Joshu J. Mountjoy, et al.. (2016). Outer shelf seafloor geomorphology along a carbonate escarpment: The eastern Malta Plateau, Mediterranean Sea. Continental Shelf Research. 131. 12–27. 23 indexed citations
15.
Bas, Tim Le, et al.. (2016). Interpretation of High Resolution Coastal and Marine Monitoring Data for Shoreline Management and Geohazard Risk Mapping. Coastal Management. 565–574. 1 indexed citations
16.
Schimel, Alexandre C. G., et al.. (2015). Processing backscatter data: from datagrams to Angular responses and mosaics. Institutional Archive of Ifremer (French Research Institute for Exploitation of the Sea). 5 indexed citations
17.
Bas, Tim Le, et al.. (2015). Interpreting monitoring data for shoreline and geohazard mapping. Proceedings of the Institution of Civil Engineers - Maritime Engineering. 168(3). 118–124. 2 indexed citations
18.
Weaver, P.P.E., et al.. (2010). Human Activities on the Deep Seafloor in the North East Atlantic: An Assessment of Spatial Extent. PLoS ONE. 5(9). e12730–e12730. 96 indexed citations
19.
Yeo, Isobel, R. C. Searle, K. L. Achenbach, et al.. (2008). Detailed distribution and rapid degradation of small seamounts on the MAR axial volcanic ridge, 45°30'N. AGUFM. 2008. 1 indexed citations
20.
Huvenne, Veerle A.I., et al.. (2005). Detailed mapping of shallow-water environments using image texture analysis on sidescan sonar data and multibeam backscatter imagery. ePrints Soton (University of Southampton). 9 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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