Diana Plavsa

1.7k total citations · 1 hit paper
16 papers, 1.4k citations indexed

About

Diana Plavsa is a scholar working on Geophysics, Artificial Intelligence and Geochemistry and Petrology. According to data from OpenAlex, Diana Plavsa has authored 16 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Geophysics, 9 papers in Artificial Intelligence and 4 papers in Geochemistry and Petrology. Recurrent topics in Diana Plavsa's work include Geological and Geochemical Analysis (15 papers), Geochemistry and Geologic Mapping (9 papers) and High-pressure geophysics and materials (9 papers). Diana Plavsa is often cited by papers focused on Geological and Geochemical Analysis (15 papers), Geochemistry and Geologic Mapping (9 papers) and High-pressure geophysics and materials (9 papers). Diana Plavsa collaborates with scholars based in Australia, United States and South Africa. Diana Plavsa's co-authors include Chris Clark, Alan S. Collins, John Foden, M. Santosh, Brandon L. Alessio, Donnelly B. Archibald, Andrew Merdith, Morgan Blades, Sheree Armistead and Sergei Pisarevsky and has published in prestigious journals such as Geology, Chemical Geology and Geological Society of America Bulletin.

In The Last Decade

Diana Plavsa

16 papers receiving 1.4k citations

Hit Papers

A full-plate global reconstruction of the Neoproterozoic 2017 2026 2020 2023 2017 100 200 300 400 500

Peers

Diana Plavsa
Comparison fields: 5 of 46
  • Geophysics 1.3k
  • Artificial Intelligence 459
  • Paleontology 244
  • Geochemistry and Petrology 176
  • Atmospheric Science 127
Replace Simon Tapster with:
Simon Tapster United Kingdom
R. J. Squire Australia
Staci Loewy United States
Craig Buchan Australia
Stephen Sheppard Australia
N M Rayner Canada
Gertrude Friedl Austria
Pavel Pitra France
Alan M. Thorne Australia
Matthew Rioux United States
Simon Tapster United Kingdom View profile →
Citations per field, relative to Diana Plavsa
Diana Plavsa · 1×
Citations per year, relative to Diana Plavsa
Diana Plavsa · 1×

Countries citing papers authored by Diana Plavsa

Since Specialization
Citations

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

Fields of papers citing papers by Diana Plavsa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Plavsa

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 15
2 25
3 49
4 11
5 24
6 44
7
A full-plate global reconstruction of the Neoproterozoic breakdown →
521
8 40
9 57
10 8
11 97
12 254
13 45
14 1
15 160
16 88

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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