Mario Billa

618 total citations
9 papers, 430 citations indexed

About

Mario Billa is a scholar working on Artificial Intelligence, Geophysics and Environmental Engineering. According to data from OpenAlex, Mario Billa has authored 9 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Geophysics and 3 papers in Environmental Engineering. Recurrent topics in Mario Billa's work include Geochemistry and Geologic Mapping (7 papers), Geological and Geochemical Analysis (7 papers) and Soil Geostatistics and Mapping (3 papers). Mario Billa is often cited by papers focused on Geochemistry and Geologic Mapping (7 papers), Geological and Geochemical Analysis (7 papers) and Soil Geostatistics and Mapping (3 papers). Mario Billa collaborates with scholars based in France and Argentina. Mario Billa's co-authors include Vincent Bouchot, Jean-Louis Feybesse, Jean-Pierre Milési, Catherine Guerrot, Jean-Luc Lescuyer, Daniel Cassard, Andor L. W. Lips, Laurent Guillou‐Frottier, G. Stein and Claude Delor and has published in prestigious journals such as Precambrian Research, Ore Geology Reviews and Journal of African Earth Sciences.

In The Last Decade

Mario Billa

9 papers receiving 414 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 Billa France 7 299 277 77 46 42 9 430
Dan L. Mosier United States 9 163 0.5× 211 0.8× 33 0.4× 48 1.0× 14 0.3× 18 310
Aurore Joly Australia 10 232 0.8× 317 1.1× 115 1.5× 59 1.3× 93 2.2× 14 455
Richard C. Bayless China 12 197 0.7× 246 0.9× 62 0.8× 75 1.6× 33 0.8× 15 367
Steve Beresford Australia 13 454 1.5× 544 2.0× 130 1.7× 77 1.7× 81 1.9× 16 690
Mohamed Zouhair Morocco 10 262 0.9× 215 0.8× 134 1.7× 23 0.5× 85 2.0× 22 440
V. J. Ojala Australia 10 201 0.7× 346 1.2× 116 1.5× 27 0.6× 105 2.5× 13 417
Prince Ofori Amponsah Ghana 13 289 1.0× 268 1.0× 77 1.0× 76 1.7× 36 0.9× 31 405
S. D. Barritt Australia 6 218 0.7× 177 0.6× 29 0.4× 39 0.8× 19 0.5× 9 301
Jonas Didero Takodjou Wambo Cameroon 10 198 0.7× 385 1.4× 159 2.1× 80 1.7× 165 3.9× 21 473
Changhai Yan China 12 254 0.8× 342 1.2× 88 1.1× 216 4.7× 40 1.0× 17 503

Countries citing papers authored by Mario Billa

Since Specialization
Citations

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

Fields of papers citing papers by Mario Billa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Billa

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Billa. A scholar is included among the top collaborators of Mario Billa 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 Billa. Mario Billa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Zürcher, Lukas, Arthur A. Bookstrom, Jane M. Hammarstrom, et al.. (2015). Porphyry copper assessment of the Tethys region of western and southern Asia: Chapter V in <i>Global mineral resource assessment</i>. Scientific investigations report. 13 indexed citations
2.
Sutphin, David M., Jane M. Hammarstrom, Lawrence J. Drew, et al.. (2013). Porphyry copper assessment of Europe, exclusive of the Fennoscandian Shield: Chapter K in <i>Global mineral resource assessment</i>. Scientific investigations report. 5 indexed citations
3.
Cassard, Daniel, et al.. (2008). Gold predictivity mapping in French Guiana using an expert-guided data-driven approach based on a regional-scale GIS. Ore Geology Reviews. 34(3). 471–500. 33 indexed citations
4.
Cassard, Daniel, et al.. (2008). GOLD predictivity mapping in French Guiana using an expert-guided data-driven approach based on a regional-scale GIS. AIP conference proceedings. 1009. 52–57. 25 indexed citations
5.
Feybesse, Jean-Louis, Mario Billa, Catherine Guerrot, et al.. (2006). The paleoproterozoic Ghanaian province: Geodynamic model and ore controls, including regional stress modeling. Precambrian Research. 149(3-4). 149–196. 255 indexed citations
6.
7.
Lerouge, Cathérine, et al.. (2004). Reaction textures in Proterozoic calcsilicates from northern Guinea: a record of the fluid evolution. Journal of African Earth Sciences. 39(3-5). 105–113. 6 indexed citations
8.
Billa, Mario, Daniel Cassard, Andor L. W. Lips, et al.. (2004). Predicting gold-rich epithermal and porphyry systems in the central Andes with a continental-scale metallogenic GIS. Ore Geology Reviews. 25(1-2). 39–67. 41 indexed citations
9.
Billa, Mario, Jean-Louis Feybesse, Georges Bronner, et al.. (1999). Les formations à quartzites rubanés ferrugineux des Monts Nimba et du Simandou: des unités empilées tectoniquement, sur un « soubassementplutonique Archéen (craton de Kénéma-Man), lors de l'orogène Éburnéen. Comptes Rendus de l Académie des Sciences - Series IIA - Earth and Planetary Science. 329(4). 287–294. 16 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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2026