B.M. Watts
Impact in
- Animal Science and Zoology top 5%
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
- Food Science top 5%
- Proteins in Food Systems
- Sensory Analysis and Statistical Methods
Papers in
-
- Sensory Analysis and Statistical Methods 5
- Proteins in Food Systems 3
-
- Phytase and its Applications 4
- Soybean genetics and cultivation 2
- Co-authors
- L. G. Elías (3 shared papers)G.L. Ylimaki (3 shared papers)Dennis Fitzpatrick (1 shared paper)Donna Ryland (3 shared papers)Linda Malcolmson (3 shared papers)Kathleen Boyd (1 shared paper)A. Hussain (3 shared papers)Susan D. Arntfield (2 shared papers)
- Journals
- Journal of Agricultural and Food Chemistry (3 papers)Diabetes (2 papers)Journal of Food Science (2 papers)Journal of Texture Studies (1 paper)Cereal Chemistry (1 paper)
- Partner nations
- CanadaUnited StatesSweden
In The Last Decade
B.M. Watts
18 papers receiving 504 citations
Peers
Comparison fields: 5 of 73
- Animal Science and Zoology 155
- Food Science 214
- Nutrition and Dietetics 174
- Plant Science 282
- Forestry 27
Countries citing papers authored by B.M. Watts
This map shows the geographic impact of B.M. Watts'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 B.M. Watts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B.M. Watts more than expected).
Fields of papers citing papers by B.M. Watts
This network shows the impact of papers produced by B.M. Watts. 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 B.M. Watts. The network helps show where B.M. Watts may publish in the future.
Co-authors
The 25 scholars most cited alongside B.M. Watts, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Basic Sensory Methods for Food Evaluation | 1989 | 159 |
| 2 | 1987 | 126 | |
| 3 | 2001 | 51 | |
| 4 | 1964 | 50 | |
| 5 | 1957 | 40 | |
| 6 | 1988 | 29 | |
| 7 | Métodos sensoriales básicos para la evaluación de alimentos | 1992 | 21 |
| 8 | 1987 | 19 | |
| 9 | 1955 | 16 | |
| 10 | 1989 | 14 | |
| 11 | 1976 | 14 | |
| 12 | 2011 | 9 | |
| 13 | 1997 | 8 | |
| 14 | 1993 | 7 | |
| 15 | 2000 | 5 | |
| 16 | 2024 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 1989 | 2 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About B.M. Watts
B.M. Watts is a scholar working on Food Science, Plant Science, Nutrition and Dietetics, Animal Science and Zoology and Molecular Biology, having authored 20 papers that have together received 574 indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (5 papers), Food composition and properties (4 papers), Phytase and its Applications (4 papers), Meat and Animal Product Quality (4 papers), Proteins in Food Systems (3 papers), Pancreatic function and diabetes (2 papers), Soybean genetics and cultivation (2 papers) and Dye analysis and toxicity (2 papers). The work is most often cited by research in Animal Science and Zoology (155 citations), Food Science (214 citations), Nutrition and Dietetics (174 citations), Plant Science (282 citations) and Forestry (27 citations). B.M. Watts has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include L. G. Elías, G.L. Ylimaki, Dennis Fitzpatrick, Donna Ryland, Linda Malcolmson, Kathleen Boyd, A. Hussain, Susan D. Arntfield, Stefan Cenkowski and Martin G. Scanlon. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Diabetes, Journal of Food Science, Journal of Texture Studies and Cereal Chemistry.
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.