Mario Billa

626 citations
9 papers · 433 · h-index 7

Impact in

  • Geophysics top 5%
    • Geological and Geochemical Analysis
    • earthquake and tectonic studies
    • Geological and Geophysical Studies Worldwide
    • High-pressure geophysics and materials
    • Geochemistry and Geologic Mapping

Papers in

    • Geochemistry and Geologic Mapping 7
    • Geological and Geochemical Analysis 7
    • earthquake and tectonic studies 3
    • High-pressure geophysics and materials 2
    • Geological and Geophysical Studies Worldwide 1

Mario Billa

9 papers receiving 417 citations

Peers

Mario Billa
Comparison fields: 5 of 41
  • Geophysics 300
  • Artificial Intelligence 279
  • Geochemistry and Petrology 48
  • Environmental Engineering 77
  • Media Technology 42
Replace Prince Ofori Amponsah with:
Prince Ofori Amponsah Ghana
Richard C. Bayless China
Aurore Joly Australia
Dan L. Mosier United States
Donald Hermann Fossi Cameroon
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V. J. Ojala Australia
Jonas Didero Takodjou Wambo Cameroon
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Mario Billa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mario Billa Line = papers co-authored together Mario Billa links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2006258
2 200441
3 200636
4 200833
5 200825
6 199916
7 201513
8 20046
9 20135

About Mario Billa

Mario Billa is a scholar working on Artificial Intelligence, Geophysics, Environmental Engineering, Mechanics of Materials and Mechanical Engineering, having authored 9 papers that have together received 433 indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (7 papers), Geological and Geochemical Analysis (7 papers), Soil Geostatistics and Mapping (3 papers), earthquake and tectonic studies (3 papers), Mineral Processing and Grinding (2 papers), High-pressure geophysics and materials (2 papers), Hydrocarbon exploration and reservoir analysis (2 papers) and Geological and Geophysical Studies Worldwide (1 paper). The work is most often cited by research in Geophysics (300 citations), Artificial Intelligence (279 citations), Geochemistry and Petrology (48 citations), Environmental Engineering (77 citations) and Media Technology (42 citations). Mario Billa has collaborated with scholars based in France and Argentina. Frequent 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 P.R. Cobbold. Their work appears in journals such as Ore Geology Reviews, Precambrian Research, Journal of African Earth Sciences, Scientific investigations report and Comptes Rendus de l Académie des Sciences - Series IIA - Earth and Planetary Science.

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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