M.J. Lintern

39 papers receiving 807 citations

Peers

M.J. Lintern
Comparison fields: 5 of 81
  • Geochemistry and Petrology 173
  • Pollution 249
  • Geophysics 234
  • Artificial Intelligence 385
  • Earth-Surface Processes 66
Replace Yusuf Kağan Kadıoğlu with:
Yusuf Kağan Kadıoğlu Türkiye
Chenyin Dong China
Maoyong He China
Pilario Costagliola Italy
Chongguang Luo China
Ryan Noble Australia
Sônia Maria Barros de Oliveira Brazil
R. J. Chapman United Kingdom
R.A. Shaw United Kingdom
H. Kucha Poland
M.J. Lintern relative to Yusuf Kağan Kadıoğlu Türkiye Yusuf Kağan Kadıoğlu's profile →
Citations per field
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Yusuf Kağan Kadıoğlu · 1×
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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000129
2 2013103
3 2010102
4 199749
5
Heavy Metals in Marine Biota, Sediments and Waters from the Shark Bay Area, Western Australia
198843
6 199739
7 200631
8 201927
9 200926
10 198825
11 200724
12 200122
13 201422
14 201322
15 198420
16 201619
17 198317
18 201417
19 201315
20 202114

About M.J. Lintern

M.J. Lintern is a scholar working on Artificial Intelligence, Pollution, Geophysics, Geochemistry and Petrology and Environmental Chemistry, having authored 39 papers that have together received 865 indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (31 papers), Heavy metals in environment (14 papers), Geological and Geochemical Analysis (8 papers), Geochemistry and Elemental Analysis (8 papers), Mine drainage and remediation techniques (5 papers), Radioactivity and Radon Measurements (4 papers), Geophysical and Geoelectrical Methods (3 papers) and Soil Geostatistics and Mapping (3 papers). The work is most often cited by research in Geochemistry and Petrology (173 citations), Pollution (249 citations), Geophysics (234 citations), Artificial Intelligence (385 citations) and Earth-Surface Processes (66 citations). M.J. Lintern has collaborated with scholars based in Australia, United States and New Zealand. 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, Nathan Reid and Allan R. Chivas. Their work appears in journals such as Journal of Geochemical Exploration, Geochemistry Exploration Environment Analysis, Ore Geology Reviews, Australian Journal of Earth Sciences and Nature Communications.

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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