James Maclaurin

1.4k citations
26 papers · 711 · h-index 12

Impact in

Papers in

James Maclaurin

25 papers receiving 652 citations

Peers

James Maclaurin
Comparison fields: 5 of 105
  • Health Informatics 62
  • Safety Research 164
  • General Decision Sciences 30
  • History and Philosophy of Science 73
  • Nature and Landscape Conservation 74
Replace Andrew T. Kahn with:
Andrew T. Kahn Australia
Daniel Steel United States
Gary Edmond Australia
Hub Zwart Netherlands
Timothy D. Bowman United States
Angela Potochnik United States
Joseph C. Pitt United States
Werner Callebaut Austria
Fulvio Mazzocchi Italy
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Citations per field
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Citations per year

Countries citing papers authored by James Maclaurin

Since Specialization
Citations

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

Fields of papers citing papers by James Maclaurin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside James Maclaurin, 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 James Maclaurin Line = papers co-authored together James Maclaurin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018206
2 2008143
3 201967
4 201862
5 200247
6 201124
7 201524
8 201621
9 201717
10 200216
11
Predator free New Zealand: Social, cultural, and ethical challenges
201914
12 202111
13
Government Use of Artificial Intelligence in New Zealand
201910
14 19988
15 20107
16 20037
17 20126
18 20135
19 20114
20
Predator Free New Zealand: Social, Cultural, and Ethical Challenges BioHeritage Challenge
20193

About James Maclaurin

James Maclaurin is a scholar working on History and Philosophy of Science, Artificial Intelligence, Experimental and Cognitive Psychology, Global and Planetary Change and Social Psychology, having authored 26 papers that have together received 711 indexed citations. Recurring topics across this work include Philosophy and History of Science (8 papers), Evolutionary Algorithms and Applications (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Language and cultural evolution (2 papers), Philosophy and Theoretical Science (2 papers), Ethics and Social Impacts of AI (2 papers), Evolution and Science Education (2 papers) and Complex Systems and Decision Making (1 paper). The work is most often cited by research in Health Informatics (62 citations), Safety Research (164 citations), General Decision Sciences (30 citations), History and Philosophy of Science (73 citations) and Nature and Landscape Conservation (74 citations). James Maclaurin has collaborated with scholars based in New Zealand, Australia and Norway. Frequent co-authors include John Zerilli, Kim Sterelny, Colin Gavaghan, Alistair Knott, Heather Dyke, James Higham, Grant Dick, Peter A. Whigham, Richard Edwards and Andrew Waa. Their work appears in journals such as Biology & Philosophy, Australasian Journal of Philosophy, Genetic Programming and Evolvable Machines, Ratio and The Monist.

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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