I. G. Pacca
- Geophysics top 2%
- Artificial Intelligence top 5%
- Paleontology top 5%
- Molecular Biology
- Atmospheric Science top 10%
- Co-authors
- Márcia ErnestoPaul R. RenneMichel PrévôtRobert S. CoeMireille PerrinManoel S. D’Agrella-FilhoGelvam A. HartmannAdolpho José Melfi
- Topics
- Geomagnetism and Paleomagnetism Studies (17 papers)Geological and Geochemical Analysis (14 papers)Paleontology and Stratigraphy of Fossils (9 papers)
- Partner nations
- BrazilArgentinaUnited States
In The Last Decade
I. G. Pacca
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 56
- Geophysics 925
- Artificial Intelligence 355
- Paleontology 298
- Molecular Biology 297
- Atmospheric Science 239
Countries citing papers authored by I. G. Pacca
This map shows the geographic impact of I. G. Pacca'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 I. G. Pacca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. G. Pacca more than expected).
Fields of papers citing papers by I. G. Pacca
This network shows the impact of papers produced by I. G. Pacca. 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 I. G. Pacca. The network helps show where I. G. Pacca may publish in the future.
Co-authorship network of co-authors of I. G. Pacca
This figure shows the co-authorship network connecting the top 25 collaborators of I. G. Pacca. A scholar is included among the top collaborators of I. G. Pacca 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 I. G. Pacca. I. G. Pacca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 14 | |
| 3 | Paleomagnetic study of the Mesoproterozoic Aguapei Group, western Mato Grosso State, Amazonian Craton | 1 |
| 4 | Paleomagnetic and rock magnetic studies of Proterozoic mafic rocks from western Mato Grosso State, Amazonian Craton | 1 |
| 5 | 18 | |
| 6 | 36 | |
| 7 | 35 | |
| 8 | 421 | |
| 9 | 52 | |
| 10 | 65 | |
| 11 | Significance of the Parana flood volcanism in the disruption of western Gondwanaland | 16 |
| 12 | 29 | |
| 13 | 113 | |
| 14 | 29 | |
| 15 | 5 | |
| 16 | Estudo paleomagnetico de sequencia de derrames basalticos da formacao Serra Geral em Santa Catarina | 2 |
| 17 | 8 | |
| 18 | 18 | |
| 19 | 4 | |
| 20 | 0 |
About I. G. Pacca
I. G. Pacca is a scholar working on Geology, Paleontology and Earth-Surface Processes, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Geomagnetism and Paleomagnetism Studies (17 papers), Geological and Geochemical Analysis (14 papers) and Paleontology and Stratigraphy of Fossils (9 papers). The work is most often cited by research in Geophysics (925 citations), Paleontology (298 citations) and Earth-Surface Processes (238 citations). I. G. Pacca has collaborated with scholars based in Brazil, Argentina and United States. Frequent co-authors include Márcia Ernesto, Paul R. Renne, Michel Prévôt, Robert S. Coe, Mireille Perrin, Manoel S. D’Agrella-Filho, Gelvam A. Hartmann, Adolpho José Melfi, Wilson Teixeira and T. C. Onstott. Their work appears in journals such as Science, Earth and Planetary Science Letters and Chemical Geology.
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.