Lluı̀s Casas

1.4k total citations
67 papers, 1.1k citations indexed

About

Lluı̀s Casas is a scholar working on Archeology, Molecular Biology and Atmospheric Science. According to data from OpenAlex, Lluı̀s Casas has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Archeology, 19 papers in Molecular Biology and 17 papers in Atmospheric Science. Recurrent topics in Lluı̀s Casas's work include Cultural Heritage Materials Analysis (20 papers), Geomagnetism and Paleomagnetism Studies (19 papers) and Geology and Paleoclimatology Research (16 papers). Lluı̀s Casas is often cited by papers focused on Cultural Heritage Materials Analysis (20 papers), Geomagnetism and Paleomagnetism Studies (19 papers) and Geology and Paleoclimatology Research (16 papers). Lluı̀s Casas collaborates with scholars based in Spain, Italy and Tunisia. Lluı̀s Casas's co-authors include Elı́es Molins, Anna Roig, Alberto Incoronato, Martí Gich, Jordi Sort, J. Tejada, Jean−Marc Grenèche, J. Nogués, John Shaw and Cecilia Savii and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Chemistry of Materials.

In The Last Decade

Lluı̀s Casas

64 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lluı̀s Casas Spain 19 422 250 246 228 180 67 1.1k
Paul M. Whitmore United States 27 275 0.7× 63 0.3× 47 0.2× 158 0.7× 298 1.7× 86 1.8k
S. G. Eeckhout France 18 283 0.7× 81 0.3× 148 0.6× 82 0.4× 301 1.7× 43 1.0k
Bryce E. Williamson New Zealand 20 483 1.1× 78 0.3× 73 0.3× 92 0.4× 36 0.2× 60 1.2k
Luca Tortora Italy 21 526 1.2× 117 0.5× 57 0.2× 30 0.1× 26 0.1× 87 1.1k
Gérald Lelong France 22 863 2.0× 110 0.4× 70 0.3× 19 0.1× 98 0.5× 59 1.4k
A. Simopoulos Greece 24 446 1.1× 81 0.3× 291 1.2× 40 0.2× 62 0.3× 65 1.6k
A. Trapananti Italy 24 816 1.9× 57 0.2× 91 0.4× 94 0.4× 269 1.5× 86 1.5k
Xing Gao China 24 637 1.5× 288 1.2× 19 0.1× 99 0.4× 53 0.3× 78 1.5k
David J. Cooke United Kingdom 18 434 1.0× 106 0.4× 200 0.8× 60 0.3× 32 0.2× 49 1.2k
David De Muynck Belgium 14 1.6k 3.7× 63 0.3× 172 0.7× 66 0.3× 85 0.5× 15 2.0k

Countries citing papers authored by Lluı̀s Casas

Since Specialization
Citations

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

Fields of papers citing papers by Lluı̀s Casas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lluı̀s Casas

This figure shows the co-authorship network connecting the top 25 collaborators of Lluı̀s Casas. A scholar is included among the top collaborators of Lluı̀s Casas 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 Lluı̀s Casas. Lluı̀s Casas 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.
Casas, Lluı̀s, Adolfo del Campo, Oriol Vallcorba, et al.. (2025). Italian Montelupo Fiorentino majolica: Four centuries of ceramic tradition in the world (14th-18th century AD). The pursuit of the colour. Ceramics International. 51(9). 11567–11585.
2.
Casas, Lluı̀s, et al.. (2023). Supervised Machine Learning Algorithms to Discriminate Two Similar Marble Varieties, a Case Study. Minerals. 13(7). 861–861. 1 indexed citations
3.
Casas, Lluı̀s, et al.. (2022). Sidi Zahruni, una alfarería en el ager de Neapolis (Túnez): aglomeración o vicus circa villam ?. Dialogues d histoire ancienne. 48/1(1). 265–313.
4.
Casas, Lluı̀s, et al.. (2022). Supervised Machine Learning Algorithms to Predict Provenance of Archaeological Pottery Fragments. Sustainability. 14(18). 11214–11214. 10 indexed citations
5.
Casas, Lluı̀s, et al.. (2021). Exploring New Ways to Reconstruct the Forma Urbis Romae: An Archaeometric Approach (CL Color and Stable Isotope Analyses). Minerals. 11(12). 1400–1400. 1 indexed citations
6.
Tema, Evdokia, et al.. (2021). Determining the use of ancient ceramic artefacts through combined morphological and magnetic analyses: the case of Villa del Foro, Northern Italy. Archaeological and Anthropological Sciences. 14(1). 5 indexed citations
7.
Casas, Lluı̀s, Adolfo del Campo, Jordi Rius, et al.. (2020). Recognizing and understanding silica-polymorph microcrystals in ceramic glazes. Journal of the European Ceramic Society. 40(15). 6188–6199. 18 indexed citations
8.
Maritan, Lara, Rebecca Piovesan, Gregorio Dal Sasso, et al.. (2020). Comparison between different image acquisition methods for grain-size analysis and quantification of ceramic inclusions by digital image processing: how much similar are the results?. Archaeological and Anthropological Sciences. 12(8). 7 indexed citations
9.
Casas, Lluı̀s, et al.. (2019). Breaking Preconceptions: Thin Section Petrography For Ceramic Glaze Microstructures. Minerals. 9(2). 113–113. 8 indexed citations
10.
11.
Casas, Lluı̀s. (2018). Three-dimensional-printing aids in visualizing the optical properties of crystals. Journal of Applied Crystallography. 51(3). 901–908. 3 indexed citations
12.
Casas, Lluı̀s, et al.. (2016). New Archaeomagnetic Data from Tunisia: Dating of Two Kilns and New Archaeointensities from Three Ceramic Artifacts. Geoarchaeology. 31(6). 564–576. 9 indexed citations
13.
Casas, Lluı̀s, et al.. (2013). Archaeological and archaeomagnetic dating at a site from the ager Tarraconensis (Tarragona, Spain): El Vila-sec Roman pottery. Journal of Archaeological Science. 40(6). 2686–2701. 14 indexed citations
14.
Petrov, Yu. I., et al.. (2011). Structural and Mössbauer studies of aerosol FeCu nanoparticles in a wide composition range. Journal of Nanoparticle Research. 13(10). 4913–4928. 12 indexed citations
15.
Casas, Lluı̀s, et al.. (2011). A new route to aerogels: Monolithic silica cryogels. Journal of Non-Crystalline Solids. 358(3). 461–469. 58 indexed citations
16.
Martínez-Boubeta, C., Ll. Balcells, Rosa Cristòfol, et al.. (2009). Self-assembled multifunctional Fe/MgO nanospheres for magnetic resonance imaging and hyperthermia. Nanomedicine Nanotechnology Biology and Medicine. 6(2). 362–370. 85 indexed citations
17.
McIntosh, G., M. Kovacheva, Gianluca Catanzariti, Marı́a Luisa Osete, & Lluı̀s Casas. (2007). Widespread occurrence of a novel high coercivity, thermally stable, low unblocking temperature magnetic phase in heated archeological material. Geophysical Research Letters. 34(21). 38 indexed citations
18.
Suber, Lorenza, Sabrina Foglia, D. Fiorani, et al.. (2004). Synthesis, morphological–structural characterization and magnetic properties of amorphous iron (III)-oxyhydroxy-phosphate nanoparticles. Journal of Solid State Chemistry. 177(7). 2440–2448. 5 indexed citations
19.
Popovici, M., Martí Gich, D. Nižňanský, et al.. (2004). Optimized Synthesis of the Elusive ε-Fe2O3 Phase via Sol−Gel Chemistry. Chemistry of Materials. 16(25). 5542–5548. 119 indexed citations
20.
Testa, A. M., Sabrina Foglia, Lorenza Suber, et al.. (2001). Unconventional magnetic behavior of iron-oxide nanoparticles in polymeric matrices. Journal of Applied Physics. 90(3). 1534–1539. 26 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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