N. T. Moar

53 papers receiving 1.8k citations

Peers

N. T. Moar
Comparison fields: 5 of 79
  • Atmospheric Science 1.2k
  • Geography, Planning and Development 298
  • Anthropology 363
  • Paleontology 276
  • Ecology, Evolution, Behavior and Systematics 553
Replace C. J. Burrows with:
C. J. Burrows New Zealand
Carolina Villagrán Chile
M. Jane Bunting United Kingdom
W. Geoffrey Spaulding United States
Charles E. Schweger Canada
Mike Macphail Australia
Sytze Bottema Netherlands
Alex Chepstow‐Lusty United Kingdom
Roger Byrne United States
Petr Kuneš Czechia
N. T. Moar relative to C. J. Burrows New Zealand C. J. Burrows's profile →
Citations per field
00.5×10×16×
C. J. Burrows · 1×
Citations per year

Countries citing papers authored by N. T. Moar

Since Specialization
Citations

This map shows the geographic impact of N. T. Moar'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 N. T. Moar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. T. Moar more than expected).

Fields of papers citing papers by N. T. Moar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. T. Moar. 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 N. T. Moar. The network helps show where N. T. Moar may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985146
2 1973129
3 1978125
4 1971101
5 197097
6 197789
7 201287
8
Pollen grains of New Zealand dicotyledonous plants
199385
9 200183
10 201368
11 197061
12 197360
13 199859
14 197955
15 196953
16 198851
17 196950
18 199648
19 201146
20 199940

About N. T. Moar

N. T. Moar is a scholar working on Atmospheric Science, Ecology, Ecology, Evolution, Behavior and Systematics, Plant Science and Geography, Planning and Development, having authored 54 papers that have together received 2.0k indexed citations. Recurring topics across this work include Geology and Paleoclimatology Research (34 papers), Isotope Analysis in Ecology (13 papers), Pacific and Southeast Asian Studies (12 papers), Pleistocene-Era Hominins and Archaeology (9 papers), Lichen and fungal ecology (6 papers), Botany, Ecology, and Taxonomy Studies (6 papers), Ecology and Vegetation Dynamics Studies (6 papers) and Botany and Plant Ecology Studies (5 papers). The work is most often cited by research in Atmospheric Science (1.2k citations), Geography, Planning and Development (298 citations), Anthropology (363 citations), Paleontology (276 citations) and Ecology, Evolution, Behavior and Systematics (553 citations). N. T. Moar has collaborated with scholars based in New Zealand, India and United States. Frequent co-authors include R. P. Suggate, Matt S. McGlone, Janet M. Wilmshurst, Matthew S. McGlone, R. C. Close, Olav B. Lian, Peter C. Almond, Colin D. Meurk, Rewi M. Newnham and Marcus J. Vandergoes. Their work appears in journals such as New Zealand Journal of Geology and Geophysics, Journal of the Royal Society of New Zealand, New Phytologist, New Zealand Journal of Botany and Quaternary Science Reviews.

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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