Brian M. Smith

2.0k citations
20 papers · 1.5k · h-index 14

Impact in

  • Geophysics top 2%
    • Geological and Geochemical Analysis
    • earthquake and tectonic studies
    • High-pressure geophysics and materials
    • Geochemistry and Elemental Analysis

Papers in

    • Geological and Geochemical Analysis 9
    • earthquake and tectonic studies 2
    • Carbohydrate Chemistry and Synthesis 2

Brian M. Smith

20 papers receiving 1.4k citations

Peers

Brian M. Smith
Comparison fields: 5 of 93
  • Geophysics 863
  • Geochemistry and Petrology 182
  • Paleontology 174
  • Pharmacology 194
  • Atmospheric Science 224
Replace Jason Day with:
Jason Day United Kingdom
Marek Cieszkowski Poland
Xinshe Liu China
Yun Duan China
Giulia Perini Italy
Kazuo Kawasaki Japan
Christopher W. Thomas United Kingdom
Lili Tong China
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Citations per field
00.5×10×15×19.4×
Jason Day · 1×
Citations per year

Countries citing papers authored by Brian M. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Brian M. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian M. Smith. 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 Brian M. Smith. The network helps show where Brian M. Smith may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1995341
2 2008321
3 1989173
4 1990132
5 1988104
6 198772
7 200570
8 198853
9 200651
10 199133
11 199529
12 198427
13 199120
14 200015
15 201111
16 199611
17 19959
18 19928
19 19908
20 19783

About Brian M. Smith

Brian M. Smith is a scholar working on Geophysics, Organic Chemistry, Artificial Intelligence, Molecular Biology and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (9 papers), Geochemistry and Geologic Mapping (5 papers), Geology and Paleoclimatology Research (4 papers), Pharmacology and Obesity Treatment (3 papers), Paleontology and Stratigraphy of Fossils (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), earthquake and tectonic studies (2 papers) and Carbohydrate Chemistry and Synthesis (2 papers). The work is most often cited by research in Geophysics (863 citations), Geochemistry and Petrology (182 citations), Paleontology (174 citations), Pharmacology (194 citations) and Atmospheric Science (224 citations). Brian M. Smith has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Hubert Staudigel, Stanley R. Hart, P. Schiffman, G.R. Davies, Hans‐Ulrich Schmincke, William Thomsen, S. G. Borg, Donald J. DePaolo, Andrew J. Grottick and Robert J. Varga. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Geochimica et Cosmochimica Acta, Geological Society of America Bulletin, Bioorganic & Medicinal Chemistry Letters and Journal of Pharmacology and Experimental Therapeutics.

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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