Jay Cummins
Impact in
- Agronomy and Crop Science top 10%
- Crop Yield and Soil Fertility
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- Irrigation Practices and Water Management
Papers in
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- Agricultural Innovations and Practices 4
- Agricultural Economics and Practices 3
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- Rice Cultivation and Yield Improvement 3
- Wheat and Barley Genetics and Pathology 1
- Co-authors
- David Coventry (7 shared papers)Raj Kumar Gupta (5 shared papers)A. K. Mehta (5 shared papers)Rajender Singh Chhokar (6 shared papers)Anuj Kumar (6 shared papers)Ashok Yadav (6 shared papers)S.C. Gill (3 shared papers)Samuel G. L. Kleemann (4 shared papers)
In The Last Decade
Jay Cummins
11 papers receiving 158 citations
Peers
Comparison fields: 5 of 39
- Agronomy and Crop Science 82
- Soil Science 52
- General Agricultural and Biological Sciences 41
- Plant Science 120
- Business and International Management 4
Countries citing papers authored by Jay Cummins
This map shows the geographic impact of Jay Cummins'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 Jay Cummins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Cummins more than expected).
Fields of papers citing papers by Jay Cummins
This network shows the impact of papers produced by Jay Cummins. 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 Jay Cummins. The network helps show where Jay Cummins may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Cummins, 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 | 2011 | 63 | |
| 2 | 2011 | 34 | |
| 3 | 2011 | 26 | |
| 4 | 2015 | 13 | |
| 5 | 2013 | 7 | |
| 6 | Qualitative Methods for Effective Agrarian Surveys: A Research Note on Focus Groups | 2012 | 6 |
| 7 | 2020 | 5 | |
| 8 | 2018 | 4 | |
| 9 | 2013 | 3 | |
| 10 | Integrated agronomic and economic analysis of fodder options for Tibetan farming systems | 2012 | 2 |
| 11 | Enhancing technology adoption based on farmer typologies derived through a market segmentation approach | 2007 | 2 |
| 12 | 2018 | 0 |
About Jay Cummins
Jay Cummins is a scholar working on General Agricultural and Biological Sciences, Plant Science, Soil Science, Sociology and Political Science and Ecology, Evolution, Behavior and Systematics, having authored 12 papers that have together received 165 indexed citations. Recurring topics across this work include Agricultural Innovations and Practices (4 papers), Agricultural Economics and Practices (3 papers), Rice Cultivation and Yield Improvement (3 papers), Agricultural Science and Fertilization (2 papers), Crop Yield and Soil Fertility (2 papers), Irrigation Practices and Water Management (2 papers), Sustainable Agricultural Systems Analysis (2 papers) and Wheat and Barley Genetics and Pathology (1 paper). The work is most often cited by research in Agronomy and Crop Science (82 citations), Soil Science (52 citations), General Agricultural and Biological Sciences (41 citations), Plant Science (120 citations) and Business and International Management (4 citations). Jay Cummins has collaborated with scholars based in Australia, India and Malaysia. Frequent co-authors include David Coventry, Raj Kumar Gupta, A. K. Mehta, Rajender Singh Chhokar, Anuj Kumar, Ashok Yadav, S.C. Gill, Samuel G. L. Kleemann, Rajni Sharma and Vijay Kumar Yadav. Their work appears in journals such as Field Crops Research, Experimental Agriculture, The Journal of Agricultural Education and Extension, Agricultural Systems and AMERICAN-EURASIAN JOURNAL OF SUSTAINABLE AGRICULTURE.
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.