B. L. Payolla
- Geophysics top 5%
- Artificial Intelligence top 5%
- Geochemistry and Petrology top 10%
- Paleontology top 10%
- Molecular Biology
- Co-authors
- Washington Barbosa LeiteJorge Silva BettencourtRichard M. TosdalAmarildo Salina RuizRamiro MatosE. TohverKlaus MezgerAllen H. Fetter
- Topics
- Geological and Geochemical Analysis (9 papers)Geochemistry and Geologic Mapping (7 papers)Geochemistry and Elemental Analysis (4 papers)
In The Last Decade
B. L. Payolla
9 papers receiving 337 citations
Peers
Comparison fields: 5 of 22
- Geophysics 340
- Artificial Intelligence 234
- Geochemistry and Petrology 78
- Paleontology 59
- Molecular Biology 14
Countries citing papers authored by B. L. Payolla
This map shows the geographic impact of B. L. Payolla'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 B. L. Payolla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. L. Payolla more than expected).
Fields of papers citing papers by B. L. Payolla
This network shows the impact of papers produced by B. L. Payolla. 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 B. L. Payolla. The network helps show where B. L. Payolla may publish in the future.
Co-authorship network of co-authors of B. L. Payolla
This figure shows the co-authorship network connecting the top 25 collaborators of B. L. Payolla. A scholar is included among the top collaborators of B. L. Payolla 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 B. L. Payolla. B. L. Payolla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 120 | |
| 4 | Geological and petrological aspects of grenvillian A-type topaz granites of the Bom Futuro Tin-mine, Rondônia, Brazil | 1 |
| 5 | Refining of the timing of orogenetic events in northern Rondônia, SW-Amazonian craton, during geons 17-12: implications for understanding the evolution of the proterozoic lithosphere | 1 |
| 6 | 107 | |
| 7 | 57 | |
| 8 | 54 | |
| 9 | New K-Ar ages of the primary tin mineralization in the Rondônia tin province, Brazil | 1 |
| 10 | Mesoproterozoic Rapakivi granites of Rondonia tin province, SW Amazon Craton, Brazil; Nd, Sr, O, Pb isotopes and metallogenic implications | 1 |
About B. L. Payolla
B. L. Payolla is a scholar working on Geochemistry and Petrology, Geophysics and Artificial Intelligence, having authored 10 papers that have together received 343 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (9 papers), Geochemistry and Geologic Mapping (7 papers) and Geochemistry and Elemental Analysis (4 papers). The work is most often cited by research in Geophysics (340 citations), Geochemistry and Petrology (78 citations) and Paleontology (59 citations). B. L. Payolla has collaborated with scholars based in Brazil, Canada and Spain. Frequent co-authors include Washington Barbosa Leite, Jorge Silva Bettencourt, Richard M. Tosdal, Amarildo Salina Ruiz, Ramiro Matos, E. Tohver, Klaus Mezger, Allen H. Fetter, Marianne Kozuch and W. R. Van Schmus. Their work appears in journals such as Earth and Planetary Science Letters, Precambrian Research and Lithos.
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.