Tiago M. Alves

5.5k total citations
173 papers, 4.3k citations indexed

About

Tiago M. Alves is a scholar working on Geophysics, Earth-Surface Processes and Geology. According to data from OpenAlex, Tiago M. Alves has authored 173 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Geophysics, 102 papers in Earth-Surface Processes and 63 papers in Geology. Recurrent topics in Tiago M. Alves's work include Geological formations and processes (101 papers), earthquake and tectonic studies (68 papers) and Geological and Geophysical Studies (60 papers). Tiago M. Alves is often cited by papers focused on Geological formations and processes (101 papers), earthquake and tectonic studies (68 papers) and Geological and Geophysical Studies (60 papers). Tiago M. Alves collaborates with scholars based in United Kingdom, China and United States. Tiago M. Alves's co-authors include Kamaldeen Olakunle Omosanya, Davide Gamboa, J. H. Monteiro, George Zodiatis, Eleni Kokinou, Tiago Cunha, Pedro Terrinha, Qiliang Sun, David Hunt and Joe Cartwright and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Advanced Functional Materials and Scientific Reports.

In The Last Decade

Tiago M. Alves

168 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tiago M. Alves United Kingdom 38 2.1k 1.9k 1.4k 1.1k 774 173 4.3k
Jacques Locat Canada 37 1.3k 0.6× 2.1k 1.1× 407 0.3× 477 0.4× 1.5k 1.9× 122 5.8k
Nabil Sultan France 34 1.0k 0.5× 1.4k 0.7× 405 0.3× 1.2k 1.1× 1.4k 1.8× 97 4.3k
Isabelle Moretti France 35 2.0k 0.9× 679 0.3× 420 0.3× 1.2k 1.1× 526 0.7× 146 3.6k
Peter A. Kukla Germany 28 979 0.5× 615 0.3× 616 0.4× 1.3k 1.2× 330 0.4× 98 2.9k
Marcelo Ketzer Brazil 22 470 0.2× 777 0.4× 353 0.3× 1.7k 1.5× 243 0.3× 95 2.8k
Andrea Billi Italy 43 4.2k 2.0× 608 0.3× 275 0.2× 799 0.7× 797 1.0× 140 5.4k
Michael R. Hudec United States 36 2.4k 1.1× 2.1k 1.1× 1.2k 0.8× 988 0.9× 893 1.2× 102 3.9k
Fiona Whitaker United Kingdom 28 945 0.4× 713 0.4× 213 0.2× 1.1k 1.0× 849 1.1× 106 3.6k
Dwight C. Bradley United States 32 4.2k 1.9× 506 0.3× 636 0.5× 452 0.4× 715 0.9× 117 5.0k
Shu‐Kun Hsu Taiwan 31 2.6k 1.2× 481 0.2× 1.4k 1.0× 247 0.2× 553 0.7× 127 3.8k

Countries citing papers authored by Tiago M. Alves

Since Specialization
Citations

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

Fields of papers citing papers by Tiago M. Alves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tiago M. Alves. 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 Tiago M. Alves. The network helps show where Tiago M. Alves may publish in the future.

Co-authorship network of co-authors of Tiago M. Alves

This figure shows the co-authorship network connecting the top 25 collaborators of Tiago M. Alves. A scholar is included among the top collaborators of Tiago M. Alves 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 Tiago M. Alves. Tiago M. Alves 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.
Alves, Tiago M., et al.. (2025). Data sampling strategies for accurate fault analyses: A scale-independent test based on a machine learning approach. Journal of Structural Geology. 191. 105342–105342. 3 indexed citations
3.
Zwaan, Frank, Tiago M. Alves, Patricia Cadenas, et al.. (2024). (D)rifting in the 21st century: key processes, natural hazards, and geo-resources. Solid Earth. 15(8). 989–1028. 2 indexed citations
4.
Li, Jian, Wei Li, Tiago M. Alves, et al.. (2023). Controls on the morphology of closely spaced submarine canyons incising the continental slope of the northern South China Sea. Geomorphology. 432. 108712–108712. 8 indexed citations
5.
Alves, Tiago M., et al.. (2023). Palaeostress state around a rising salt diapir inferred from seismic reflection data. Marine and Petroleum Geology. 155. 106385–106385. 3 indexed citations
6.
Sitzia, Fabio, et al.. (2023). Laboratorial Simulation for Assessing the Performance of Slates as Construction Materials in Cold Climates. Applied Sciences. 13(5). 2761–2761. 8 indexed citations
7.
Li, Wei, et al.. (2023). Initiation and evolution of an isolated submarine canyon system on a low-gradient continental slope. Geomorphology. 434. 108746–108746. 4 indexed citations
8.
Alves, Tiago M., et al.. (2023). Seal failure and fluid flow in salt-bearing sedimentary basins: A critical example from the Espírito Santo basin, SE Brazil. Marine and Petroleum Geology. 156. 106460–106460. 1 indexed citations
9.
Alves, Tiago M., et al.. (2022). Stratigraphic record of continental breakup, offshore NW Australia—Discussion. Basin Research. 35(1). 470–482. 6 indexed citations
10.
Alves, Tiago M., et al.. (2020). Reutilisation of hydrothermal vent complexes for focused fluid flow on continental margins (Modgunn Arch, Norwegian Sea). Basin Research. 33(2). 1111–1134. 18 indexed citations
11.
Alves, Tiago M., et al.. (2020). Significance of Upper Triassic to Lower Jurassic salt in the identification of palaeo-seaways in the North Atlantic. Marine and Petroleum Geology. 123. 104705–104705. 10 indexed citations
12.
Su, Ming, Tiago M. Alves, Wei Li, et al.. (2018). Reassessing two contrasting Late Miocene-Holocene stratigraphic frameworks for the Pearl River Mouth Basin, northern South China Sea. Marine and Petroleum Geology. 102. 899–913. 27 indexed citations
13.
Omosanya, Kamaldeen Olakunle, et al.. (2018). Three-dimensional (3-D) seismic imaging of conduits and radial faults associated with hydrothermal vent complexes (Vøring Basin, Offshore Norway). Marine Geology. 399. 115–134. 37 indexed citations
14.
Alves, Tiago M., et al.. (2018). An integrated geological and GIS-based method to assess caprock risk in mature basins proposed for carbon capture and storage. International journal of greenhouse gas control. 80. 103–122. 15 indexed citations
15.
Zodiatis, George, Michela De Dominicis, Leonidas Perivoliotis, et al.. (2016). Modeling oil spills in the Med-Sea as a mean of early response in cases of oil leakages. ORCA Online Research @Cardiff (Cardiff University). 1 indexed citations
16.
17.
Nomikou, Paraskevi, V. Lykousis, M. Alexandri, et al.. (2015). Geomorphologic Structures on the South Cretan Margin, Greece. EGUGA. 3568.
18.
Alves, Tiago M., Eleni Kokinou, & George Zodiatis. (2014). A three-step model to assess shoreline and offshore susceptibility to oil spills: The South Aegean (Crete) as an analogue for confined marine basins. Marine Pollution Bulletin. 86(1-2). 443–457. 86 indexed citations
19.
Marfurt, Kurt J. & Tiago M. Alves. (2014). Pitfalls and limitations in seismic attribute interpretation of tectonic features. Interpretation. 3(1). SB5–SB15. 106 indexed citations
20.
Alves, Tiago M., Rob L. Gawthorpe, David Hunt, & J. H. Monteiro. (2000). Tertiary evolution of the São Vicente and Setúbal submarine canyons, Southwest Portugal: insights from seismic stratigraphy. ORCA Online Research @Cardiff (Cardiff University). 14. 10 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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