Andrew MacFarlane

1.8k citations
79 papers · 1.1k · h-index 21

Impact in

  • Archeology top 5%
    • Archaeology and ancient environmental studies
    • Paleontology and Stratigraphy of Fossils

Papers in

Andrew MacFarlane

76 papers receiving 1.0k citations

Peers

Andrew MacFarlane
Comparison fields: 5 of 125
  • Archeology 31
  • Paleontology 198
  • Geochemistry and Petrology 158
  • Human Factors and Ergonomics 63
  • Geophysics 284
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Jeffrey N. Rubin United States
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James E. Everett Australia
Zhihong Chen China
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Citations per field
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Citations per year

Countries citing papers authored by Andrew MacFarlane

Since Specialization
Citations

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

Fields of papers citing papers by Andrew MacFarlane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199083
2 199474
3 200751
4
The timing of alkali metasomatism in paleosols.
199149
5 202243
6 199643
7 201439
8 202239
9 199438
10 201937
11 200535
12 200231
13 201230
14 200230
15 202029
16 202025
17 201425
18 201025
19 199022
20 200922

About Andrew MacFarlane

Andrew MacFarlane is a scholar working on Artificial Intelligence, Information Systems, Geophysics, Signal Processing and Computer Vision and Pattern Recognition, having authored 79 papers that have together received 1.1k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (14 papers), Information Retrieval and Search Behavior (12 papers), Geochemistry and Geologic Mapping (10 papers), Digital Accessibility for Disabilities (8 papers), Algorithms and Data Compression (7 papers), Geochemistry and Elemental Analysis (6 papers), Reading and Literacy Development (6 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Archeology (31 citations), Paleontology (198 citations), Geochemistry and Petrology (158 citations), Human Factors and Ergonomics (63 citations) and Geophysics (284 citations). Andrew MacFarlane has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include Heinrich Holland, Heather Lechtman, Ulrich Petersen, David Mountain, Dorothy Hosler, A. P. LeHuray, Stephann Makri, Tony Russell‐Rose, Stephen Robertson and Julie A. McCann. Their work appears in journals such as Journal of Documentation, Economic Geology, Journal of the Association for Information Science and Technology, Information Processing & Management and KNOWLEDGE ORGANIZATION.

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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