This map shows the geographic impact of O. Pinto'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 O. Pinto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites O. Pinto more than expected).
This network shows the impact of papers produced by O. Pinto. 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 O. Pinto. The network helps show where O. Pinto may publish in the future.
Co-authorship network of co-authors of O. Pinto
This figure shows the co-authorship network connecting the top 25 collaborators of O. Pinto.
A scholar is included among the top collaborators of O. Pinto 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 O. Pinto. O. Pinto is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Neto, Osmar Pinto, I. R. C. A. Pinto, O. Pinto, & Earle Williams. (2023). Evidence of a link between Amazon fires and lightning. Journal of Atmospheric and Solar-Terrestrial Physics. 249. 106095–106095.5 indexed citations
Pinto, O., et al.. (2011). Thunderstorm Tracking Using Data from the Brazilian Lightning Detection Network. AGU Fall Meeting Abstracts. 2011.1 indexed citations
Pinto, O.. (2009). Lightning in the tropics : from a source of fire to a monitoring system of climatic changes. Nova Science Publishers eBooks.2 indexed citations
10.
Pautet, Pierre‐Dominique, Mike Taylor, Matthew Bailey, et al.. (2007). IR Temperature Characteristics of a Prolific TLE Producing Storm in South America Observed During a Sprite Campaign in Brazil. AGU Fall Meeting Abstracts. 2007.1 indexed citations
11.
Saba, Marcelo M. F., M. G. Ballarotti, & O. Pinto. (2005). Negative Cloud-to-Ground Lightning Properties From High-Speed Video Observations. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 2005.
12.
Taylor, M. J., Pierre‐Dominique Pautet, Matthew Bailey, et al.. (2003). Investigating sprite energetics over Brazil in association with small/frontal storms. AGU Fall Meeting Abstracts. 2003.1 indexed citations
13.
Lay, E. H., et al.. (2003). WWLL Global Lightning Detection System Regional Validation Study in Brazil. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 2003.3 indexed citations
14.
Holzworth, R. H., et al.. (2003). Strong Electric Fields from Positive Lightning Strokes in the Stratosphere: Implications for Sprites. AGU Fall Meeting Abstracts. 2003.1 indexed citations
15.
Pinto, O., et al.. (1998). Positive thunderstorms in Brazil. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research).2 indexed citations
Mendes, Odim, W. D. González, Alicia González, O. Pinto, & B. T. Tsurutani. (1994). Solar Wind-Magnetosphere Coupling During Moderate Geomagnetic Storms (1978-1979). 297.2 indexed citations
18.
Pinto, O., W. D. González, & Kleber P. Naccarato. (1991). The westward drift of the South Atlantic Magnetic Anomaly. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research).2 indexed citations
19.
Pinto, O., V. W. J. H. Kirchhoff, & W. D. González. (1990). Mesospheric ozone depletion due to energetic electron precipitation at the South Atlantic magnetic anomaly. Annales Geophysicae. 8(5). 365–367.7 indexed citations
20.
Pinto, O., W. D. González, I. R. C. A. Pinto, & Odim Mendes. (1989). Effects of corotation electric field on the dynamics of energetic particles in an asymmetric planetary magnetic field.. 7. 515–518.1 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.