Paul Duuring

1.3k citations
47 papers · 1.1k · h-index 19

Impact in

Papers in

Paul Duuring

44 papers receiving 1k citations

Peers

Paul Duuring
Comparison fields: 5 of 38
  • Geophysics 707
  • Geochemistry and Petrology 203
  • Artificial Intelligence 295
  • Paleontology 54
  • Economics and Econometrics 131
Replace Ivan Belousov with:
Ivan Belousov Australia
Robert Marschik Germany
Roger G. Skirrow Australia
Ryan D. Taylor United States
R V Kirkham United States
Roberto Perez Xavier Brazil
Abdorrahman Rajabi Iran
Geordie Mark Australia
Abdellah Mouttaqi France
Vladimir Lisitsin Australia
Paul Duuring relative to Ivan Belousov Australia Ivan Belousov's profile →
Citations per field
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Ivan Belousov · 1×
Citations per year

Countries citing papers authored by Paul Duuring

Since Specialization
Citations

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

Fields of papers citing papers by Paul Duuring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Paul Duuring, 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 Paul Duuring Line = papers co-authored together Paul Duuring links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015142
2 2013119
3 201289
4 200783
5 201949
6 200944
7 202139
8 201236
9 202136
10 201234
11 200733
12 201632
13 201231
14 201030
15 201230
16 201429
17 201127
18 200426
19 200020
20 201718

About Paul Duuring

Paul Duuring is a scholar working on Geophysics, Geochemistry and Petrology, Artificial Intelligence, Geology and Paleontology, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (33 papers), Geochemistry and Elemental Analysis (14 papers), Geochemistry and Geologic Mapping (10 papers), Topic Modeling (3 papers), Geological Studies and Exploration (3 papers), Paleontology and Stratigraphy of Fossils (2 papers), Geological Modeling and Analysis (2 papers) and Machine Learning in Materials Science (1 paper). The work is most often cited by research in Geophysics (707 citations), Geochemistry and Petrology (203 citations), Artificial Intelligence (295 citations), Paleontology (54 citations) and Economics and Econometrics (131 citations). Paul Duuring has collaborated with scholars based in Australia, Canada and South Korea. Frequent co-authors include Steffen Gerd Hagemann, Kevin F. Cassidy, Marco L. Fiorentini, Eun‐Jung Holden, Wei Liu, Thomas Angerer, Wouter Bleeker, S. W. Beresford, Detlef H.G. Walde and Carlos Alberto Rosière. Their work appears in journals such as Mineralium Deposita, Ore Geology Reviews, Economic Geology, Australian Journal of Earth Sciences and Journal of Geochemical Exploration.

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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