Jordi Julià

3.8k total citations
79 papers, 3.1k citations indexed

About

Jordi Julià is a scholar working on Geophysics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Jordi Julià has authored 79 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Geophysics, 4 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in Jordi Julià's work include earthquake and tectonic studies (62 papers), High-pressure geophysics and materials (54 papers) and Geological and Geochemical Analysis (46 papers). Jordi Julià is often cited by papers focused on earthquake and tectonic studies (62 papers), High-pressure geophysics and materials (54 papers) and Geological and Geochemical Analysis (46 papers). Jordi Julià collaborates with scholars based in Brazil, United States and Spain. Jordi Julià's co-authors include A. Nyblade, Charles J. Ammon, R. B. Herrmann, Antoni M. Correig, Marcelo Assumpção, M. T. Dugda, M. van der Meijde, Douglas A. Wiens, Charles A. Langston and Silas M. Simiyu and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Earth and Planetary Science Letters and Geophysical Research Letters.

In The Last Decade

Jordi Julià

77 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jordi Julià Brazil 30 2.9k 240 215 187 175 79 3.1k
D. C. Mishra India 24 1.6k 0.5× 157 0.7× 231 1.1× 172 0.9× 166 0.9× 70 1.7k
Yongshun John Chen China 32 3.3k 1.1× 263 1.1× 255 1.2× 83 0.4× 123 0.7× 95 3.6k
M. R. Nedimović Canada 30 2.3k 0.8× 106 0.4× 193 0.9× 111 0.6× 94 0.5× 125 2.5k
Sergei Lebedev Ireland 40 4.3k 1.5× 177 0.7× 287 1.3× 85 0.5× 93 0.5× 124 4.5k
Javier Fullea Ireland 26 1.9k 0.7× 100 0.4× 168 0.8× 79 0.4× 154 0.9× 71 2.1k
Christel Tiberi France 24 1.6k 0.5× 110 0.5× 181 0.8× 127 0.7× 94 0.5× 48 1.7k
J. Mechie Germany 41 4.8k 1.6× 298 1.2× 494 2.3× 176 0.9× 120 0.7× 107 5.0k
Alfred Hirn France 30 2.2k 0.7× 135 0.6× 119 0.6× 148 0.8× 121 0.7× 49 2.3k
Eric Sandvol United States 47 5.7k 1.9× 390 1.6× 154 0.7× 83 0.4× 90 0.5× 151 5.9k
Stephen S. Gao United States 36 3.9k 1.3× 239 1.0× 253 1.2× 98 0.5× 80 0.5× 161 4.1k

Countries citing papers authored by Jordi Julià

Since Specialization
Citations

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

Fields of papers citing papers by Jordi Julià

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jordi Julià

This figure shows the co-authorship network connecting the top 25 collaborators of Jordi Julià. A scholar is included among the top collaborators of Jordi Julià 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 Jordi Julià. Jordi Julià 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.
Prieto, G. A., et al.. (2025). Deep‐Focus Earthquakes in Warm Slabs: Seismic Source Parameters in the Peru‐Brazil Region. Journal of Geophysical Research Solid Earth. 130(2). 1 indexed citations
2.
Julià, Jordi, et al.. (2024). Receiver function image of the mantle transition zone beneath western China: Fragmented subduction and counterflow upwelling. Earth and Planetary Science Letters. 647. 119019–119019. 1 indexed citations
3.
Julià, Jordi, et al.. (2024). Deep‐Focus Earthquake Mechanisms at the Subducting Nazca Plate (Peru‐Brazil Border): Cold Slab Behavior in a Warm Plate. Earth and Space Science. 11(10). 2 indexed citations
4.
Monsalve, Gaspar, et al.. (2023). Radial and azimuthal seismic anisotropy in NW South America: Insights into crustal deformation and mantle flow using ambient noise and surface wave tomography. Journal of South American Earth Sciences. 131. 104606–104606. 1 indexed citations
5.
Julià, Jordi, et al.. (2020). Joint Inversion of High-Frequency Receiver Functions and Surface-Wave Dispersion: Case Study in the Parnaíba Basin of Northeast Brazil. Bulletin of the Seismological Society of America. 110(3). 1372–1386. 4 indexed citations
6.
7.
Julià, Jordi, et al.. (2019). Joint Inversion of Receiver Functions and Surface‐Wave Dispersion in the Pantanal Wetlands: Implications for Basin Formation. Journal of Geophysical Research Solid Earth. 125(2). 10 indexed citations
8.
Nyblade, A., et al.. (2015). Crustal structure of Precambrian terranes in the southern African subcontinent with implications for secular variation in crustal genesis. Geophysical Journal International. 202(1). 533–547. 35 indexed citations
9.
Julià, Jordi & A. Nyblade. (2013). Probing the upper mantle transition zone under Africa with P520s conversions: Implications for temperature and composition. Earth and Planetary Science Letters. 368. 151–162. 18 indexed citations
10.
Nyblade, A., et al.. (2011). The Precambrian crustal structure of East Africa. AGUFM. 2011. 1 indexed citations
11.
Nyblade, A., et al.. (2010). The crustal structure of East Africa. AGU Fall Meeting Abstracts. 2010. 1 indexed citations
12.
Hansen, S. E., et al.. (2008). Low-Velocity Zone Structure Beneath the Kaapvaal Craton From S-wave Receiver Functions. AGUFM. 2008. 1 indexed citations
13.
Nyblade, A., et al.. (2008). Shear Wave Velocity Structure of Southern African Crust: Evidence for Compositional Heterogeneity within Archaean and Proterozoic Terrains. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
14.
Nyblade, A., et al.. (2008). Crustal Structure Of Southern Africa. AGU Fall Meeting Abstracts. 2008. 2 indexed citations
15.
Julià, Jordi, et al.. (2008). CRUSTAL STRUCTURE ALONG THE TRANSANTARCTIC MOUNTAIN FRONT USING RECEIVER FUNCTIONS. AGUFM. 2008. 4 indexed citations
16.
Julià, Jordi, Marcelo Assumpção, & Marcelo Peres Rocha. (2008). Deep crustal structure of the Paraná Basin from receiver functions and Rayleigh‐wave dispersion: Evidence for a fragmented cratonic root. Journal of Geophysical Research Atmospheres. 113(B8). 63 indexed citations
17.
Bastow, I. D., Thomas Owens, G. Zandt, et al.. (2006). SKS Splitting Analyses From The Sierra Nevada EarthScope Project: Insights Into Lithospheric Foundering. AGU Fall Meeting Abstracts. 2006. 1 indexed citations
18.
Dugda, M. T., A. Nyblade, Jordi Julià, et al.. (2005). Crustal structure in Ethiopia and Kenya from receiver function analysis: Implications for rift development in eastern Africa. Journal of Geophysical Research Atmospheres. 110(B1). 209 indexed citations
19.
Julià, Jordi, et al.. (2000). Lithospheric structure beneath Western U.S. from the joint inversion of receiver function and surface-wave dispersion observations. Seismological Research Letters. 71(2). 215. 1 indexed citations
20.
Julià, Jordi, Charles J. Ammon, R. B. Herrmann, & Antoni M. Correig. (2000). Joint inversion of receiver function and surface wave dispersion observations. Geophysical Journal International. 143(1). 99–112. 478 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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