David McRae

404 citations
15 papers · 333 · h-index 8

Impact in

Papers in

David McRae

15 papers receiving 281 citations

Peers

David McRae
Comparison fields: 5 of 71
  • Health, Toxicology and Mutagenesis 161
  • Health 43
  • Education 87
  • General Health Professions 41
  • Computer Science Applications 10
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Citations per year

Countries citing papers authored by David McRae

Since Specialization
Citations

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

Fields of papers citing papers by David McRae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside David McRae, 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 David McRae Line = papers co-authored together David McRae links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2011114
2
What works?: explorations in improving outcomes for Indigenous students
200065
3 201463
4
The Le@rning Federation's On-line Initiative: Lessons from Teachers on Change, Technologies, and Learning about English and Literacy
200625
5 201717
6 201014
7
What Works. The Work Program: improving outcomes for Indigenous students
200211
8 20167
9 20175
10
Evaluating The Le@rning Federation’s online Curriculum content initiative: Summary of findings from surveys, site visits and a field experiment
20074
11
Education and training for Indigenous students: what has worked (and will again): the IESIP Strategic Results Projects
20003
12
Learner Driver Mentor Programs (LDMPs): a long term review
20142
13
Make it real
20121
14
During the revolution
19971
15
Using The Le@rning Federation digital curriculum resources to enhance the education of Indigenous students
20091

About David McRae

David McRae is a scholar working on Education, Ecology, Evolution, Behavior and Systematics, Health, Toxicology and Mutagenesis, Soil Science and Plant Science, having authored 15 papers that have together received 333 indexed citations. Recurring topics across this work include Education Systems and Policy (4 papers), Climate change impacts on agriculture (3 papers), Climate Change and Health Impacts (2 papers), Agricultural risk and resilience (1 paper), Literacy, Media, and Education (1 paper), Wikis in Education and Collaboration (1 paper), Plant responses to elevated CO2 (1 paper) and Climate variability and models (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (161 citations), Health (43 citations), Education (87 citations), General Health Professions (41 citations) and Computer Science Applications (10 citations). David McRae has collaborated with scholars based in Australia and United States. Frequent co-authors include Shilu Tong, Vivienne Tippett, Xiaoyu Wang, Peter Aitken, Gerard Neville, Adrian Barnett, Weiwei Yu, Peter Freebody, Allyson Williams and Linn Beate Strand. Their work appears in journals such as BMC Public Health, Occupational and Environmental Medicine, Agricultural Water Management, Climatic Change and Griffith Research Online (Griffith University, Queensland, Australia).

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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