David Watt

16 papers receiving 340 citations

Peers

David Watt
Comparison fields: 5 of 97
  • Linguistics and Language 71
  • Language and Linguistics 56
  • Small Animals 37
  • Agronomy and Crop Science 50
  • Literature and Literary Theory 53
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Citations per year

Countries citing papers authored by David Watt

Since Specialization
Citations

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

Fields of papers citing papers by David Watt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 198797
2 200170
3 197950
4
ESL dropout: The myth of educational equity.
199446
5
Wellness programs: a review of the evidence.
199838
6 200733
7 200528
8 200516
9
The effect of boar breed type on reproduction, production performance and carcass and meat quality in pigs
20089
10
Municipal Pavement Performance Prediction based on Pavement Condition Data
20057
11 20125
12 20105
13 19974
14
An audit of NHS Trust alcohol policy referrals to an occupational health service.
20001
15 19701
16
Saskatchewan Bridge Management from a Spatial Perspective
20081
17 19691

About David Watt

David Watt is a scholar working on Animal Science and Zoology, Small Animals, Civil and Structural Engineering, General Health Professions and Public Health, Environmental and Occupational Health, having authored 17 papers that have together received 412 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (2 papers), Global Health Workforce Issues (2 papers), Infrastructure Maintenance and Monitoring (2 papers), Medical Education and Admissions (2 papers), Innovations in Medical Education (2 papers), Animal Behavior and Welfare Studies (2 papers), Education Systems and Policy (2 papers) and Meat and Animal Product Quality (2 papers). The work is most often cited by research in Linguistics and Language (71 citations), Language and Linguistics (56 citations), Small Animals (37 citations), Agronomy and Crop Science (50 citations) and Literature and Literary Theory (53 citations). David Watt has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Hetty Roessingh, Christopher Ll. Morgan, William K. Evans, Kevin G. Murphy, Frances A. Shepherd, Sarita Verma, N.E. O’Connell, V.E. Beattie, N. Walker and C. L. Johnson. Their work appears in journals such as Journal of Dynamic Systems Measurement and Control, The American Journal of Cardiology, Canadian Modern Language Review/ La Revue canadienne des langues vivantes, The Journal of Agricultural Science and The Round Table.

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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