Dave Craw

9.0k citations
287 papers · 7.7k · h-index 46

Impact in

Papers in

    • Geological and Geochemical Analysis 116
    • earthquake and tectonic studies 69
    • Mine drainage and remediation techniques 67
    • Arsenic contamination and mitigation 30

Dave Craw

278 papers receiving 7.4k citations

Peers

Dave Craw
Comparison fields: 5 of 110
  • Geochemistry and Petrology 1.5k
  • Geophysics 3.2k
  • Environmental Chemistry 1.5k
  • Pollution 983
  • Paleontology 563
Replace Robert F. Stallard with:
Robert F. Stallard United States
D. Craw New Zealand
T. Torgersen United States
Takanori Nakano Japan
David J. Hollander United States
Teresa E. Jordan United States
Michael D. Krom United Kingdom
Kurt Kyser Canada
Jean‐Loup Guyot France
Thierry Adatte Switzerland
Dave Craw relative to Robert F. Stallard United States Robert F. Stallard's profile →
Citations per field
00.5×2×2.8×
Robert F. Stallard · 1×
Citations per year

Countries citing papers authored by Dave Craw

Since Specialization
Citations

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

Fields of papers citing papers by Dave Craw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 287 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976312
2 2002243
3 2008213
4 2006178
5 2004177
6 2001153
7 2006147
8 2014120
9 2012112
10 2007107
11 2014105
12 200298
13 199497
14 200795
15 200291
16 201391
17 200889
18 198879
19 199178
20 201077

About Dave Craw

Dave Craw is a scholar working on Geophysics, Environmental Chemistry, Geochemistry and Petrology, Artificial Intelligence and Atmospheric Science, having authored 287 papers that have together received 7.7k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (116 papers), Geochemistry and Geologic Mapping (101 papers), earthquake and tectonic studies (69 papers), Mine drainage and remediation techniques (67 papers), Geology and Paleoclimatology Research (50 papers), Geochemistry and Elemental Analysis (38 papers), Heavy metals in environment (36 papers) and Arsenic contamination and mitigation (30 papers). The work is most often cited by research in Geochemistry and Petrology (1.5k citations), Geophysics (3.2k citations), Environmental Chemistry (1.5k citations), Pollution (983 citations) and Paleontology (563 citations). Dave Craw has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Jonathan M. Waters, Christopher Paul Burridge, John H. Youngson, Phædra Upton, Damon Teagle, Richard J. Norris, Laura Haffert, Cathy Rufaut, Nick Wilson and Iain Pitcairn. Their work appears in journals such as New Zealand Journal of Geology and Geophysics, Mineralium Deposita, Ore Geology Reviews, Applied Geochemistry and Earth and Planetary Science Letters.

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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