M.J. Lintern

38 papers receiving 735 citations

Peers

M.J. Lintern
Comparison fields: 5 of 79
  • Geochemistry and Petrology 160
  • Pollution 237
  • Geophysics 213
  • Artificial Intelligence 354
  • Environmental Chemistry 92
Replace Yasumasa Ogawa with:
Yasumasa Ogawa Japan
Yusuf Kağan Kadıoğlu Türkiye
Hans‐Eike Gäbler Germany
Chenyin Dong China
Chongguang Luo China
Devon Renock United States
Blažo Boev North Macedonia
Naotatsu Shikazono Japan
R.A. Shaw United Kingdom
Sônia Maria Barros de Oliveira Brazil
M.J. Lintern relative to Yasumasa Ogawa Japan Yasumasa Ogawa's profile →
Citations per field
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Citations per year

Countries citing papers authored by M.J. Lintern

Since Specialization
Citations

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

Fields of papers citing papers by M.J. Lintern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000121
2 201096
3 201382
4 199747
5
Heavy Metals in Marine Biota, Sediments and Waters from the Shark Bay Area, Western Australia
198842
6 199737
7 200630
8 200926
9 198825
10 201925
11 200723
12 201322
13 200121
14 198420
15 201618
16 198317
17 201416
18 201315
19 199812
20 201712

About M.J. Lintern

M.J. Lintern is a scholar working on Artificial Intelligence, Pollution, Geochemistry and Petrology, Geophysics and Environmental Chemistry, having authored 38 papers that have together received 788 indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (30 papers), Heavy metals in environment (14 papers), Geochemistry and Elemental Analysis (8 papers), Geological and Geochemical Analysis (7 papers), Mine drainage and remediation techniques (5 papers), Radioactivity and Radon Measurements (4 papers), Geophysical and Geoelectrical Methods (3 papers) and Electrochemical Analysis and Applications (3 papers). The work is most often cited by research in Geochemistry and Petrology (160 citations), Pollution (237 citations), Geophysics (213 citations), Artificial Intelligence (354 citations) and Environmental Chemistry (92 citations). M.J. Lintern has collaborated with scholars based in Australia, United States and Macao. Frequent co-authors include Ravi Anand, C.R.M. Butt, C.G. Ryan, David Paterson, A.W. Mann, Ryan Noble, Keith Scott, R. M. Hough, Michael Verrall and Allan R. Chivas. Their work appears in journals such as Geochemistry Exploration Environment Analysis, Journal of Geochemical Exploration, Ore Geology Reviews, Nature Communications and Australian Journal of Earth Sciences.

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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