T. C. Farrell
- Plant Science top 10%
- Genetics
- Ecology, Evolution, Behavior and Systematics top 10%
- Soil Science
- Molecular Biology
- Co-authors
- S. FukaiRachel WilliamsLaurence G LewinBruce A. LinquistM. ChanphengsayJ. BasnayakeRobert L. WilliamsRussell Reinke
- Topics
- Rice Cultivation and Yield Improvement (9 papers)Genetic Mapping and Diversity in Plants and Animals (3 papers)Agriculture, Soil, Plant Science (2 papers)
- Partner nations
- AustraliaTimor-LesteUnited States
In The Last Decade
T. C. Farrell
14 papers receiving 254 citations
Peers
Comparison fields: 5 of 31
- Plant Science 260
- Genetics 91
- Ecology, Evolution, Behavior and Systematics 66
- Soil Science 29
- Molecular Biology 26
Countries citing papers authored by T. C. Farrell
This map shows the geographic impact of T. C. Farrell'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 T. C. Farrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. C. Farrell more than expected).
Fields of papers citing papers by T. C. Farrell
This network shows the impact of papers produced by T. C. Farrell. 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 T. C. Farrell. The network helps show where T. C. Farrell may publish in the future.
Co-authorship network of co-authors of T. C. Farrell
This figure shows the co-authorship network connecting the top 25 collaborators of T. C. Farrell. A scholar is included among the top collaborators of T. C. Farrell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T. C. Farrell. T. C. Farrell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 50 | |
| 3 | 40 | |
| 4 | 111 | |
| 5 | 16 | |
| 6 | 10 | |
| 7 | Avoiding low temperature damage in Australia's rice industry with photoperiod sensitive cultivars | 18 |
| 8 | Economic Analysis of Improving Cold Tolerance in Rice in Australia | 1 |
| 9 | Short-duration rice: implications for water-use efficiency in the New South Wales rice industry | 2 |
| 10 | Root weight affects radiation-use efficiency in rice | 1 |
| 11 | 12 | |
| 12 | Temperature constraints to rice production in Australia and Laos: a shared problem | 7 |
| 13 | Rapid Image Analysis for counting engorged pollen grains of rice | 2 |
| 14 | Programming in Windows 3.1 | 1 |
About T. C. Farrell
T. C. Farrell is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 14 papers that have together received 279 indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (9 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Agriculture, Soil, Plant Science (2 papers). The work is most often cited by research in Plant Science (260 citations), Ecology, Evolution, Behavior and Systematics (66 citations) and Genetics (91 citations). T. C. Farrell has collaborated with scholars based in Australia, Timor-Leste and United States. Frequent co-authors include S. Fukai, Rachel Williams, Laurence G Lewin, Bruce A. Linquist, M. Chanphengsay, J. Basnayake, Robert L. Williams, Robert L. Williams, Russell Reinke and John D. Mullen. Their work appears in journals such as Diabetologia, Field Crops Research and Weed Research.
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.