Zvi Hochman

Plant Science · 2003–2021

A researcher in the Science corpus: 13 papers; trusts 10 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Plant Science — 74 citations into it
• Ecology, Evolution, Behavior and Systematics — 56 citations into it; #2,619 of 6,648 by trust here, #437 by citations
• Agronomy and Crop Science — 36 citations into it
• Global and Planetary Change — 35 citations into it
• General Agricultural and Biological Sciences — 30 citations into it; #757 of 1,453 by trust here, #106 by citations
• Soil Science — 29 citations into it; #1,018 of 2,166 by trust here, #165 by citations
• Environmental Engineering — 12 citations into it; #3,619 of 5,479 by trust here, #625 by citations
• Oceanography — 6 citations into it

Whom Zvi Hochman trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. R. Mccown
2. Stephen J. Jeffrey
3. James R. Hunt
4. V. Sadras
5. J. Kirkegaard
6. John O. Carter
7. Peter S. Carberry
8. W. Anderson
9. Martin K. van Ittersum
10. P. Grassini

Who trusts Zvi Hochman overall

1. James R. Hunt
2. Peter S. Carberry
3. R. Richards
4. J. Kirkegaard
5. David L. Gobbett
6. Martin K. van Ittersum
7. K. Cassman
8. B. Flohr
9. R. Mccown
10. V. Sadras

Papers from Zvi Hochman's perspective

Ordered by how strongly the researchers Zvi Hochman trusts endorse each paper. Same corpus, a different order for every researcher.

1. Potential to improve on-farm wheat yield and WUE in Australia
2. Using spatial interpolation to construct a comprehensive archive of Australian climate data (Environmental Modelling & Software)
3. The DSSAT cropping system model
4. Predicting growth and development of pigeonpea: a simulation model
5. Modelling decomposition of sugar cane surface residues with APSIM–Residue
6. Modelled wheat phenology captures rising temperature trends: Shortened time to flowering and maturity in Australia and Argentina
7. Crop design for specific adaptation in variable dryland production environments (Crop and Pasture Science)
8. Genotype by environment interactions affecting grain sorghum. III. Temporal sequences and spatial patterns in the target population of environments
9. Potential benefits of early vigor and changes in phenology in wheat to adapt to warmer and drier climates.
10. Benchmarking water-use efficiency of rainfed wheat in dry environments

Their papers

• Yield gap analysis with local to global relevance—A review (2013) — 1,521 citations
• The future of farming: Who will produce our food? (2021) — 527 citations
• How well do crop modeling groups predict wheat phenology, given calibration data from the target population? (2019) — 51 citations
• Strategies to improve the productivity, product diversity and profitability of urban agriculture (2019) — 153 citations
• Causes of wheat yield gaps and opportunities to advance the water-limited yield frontier in Australia (2018) — 111 citations
• Data rich yield gap analysis of wheat in Australia (2016) — 102 citations
• Yield gap analysis of rainfed wheat demonstrates local to global relevance (2016) — 55 citations
• APSIM - Evolution towards a new generation of agricultural systems simulation (2014) — 1,561 citations
• Re-inventing model-based decision support with Australian dryland farmers. 4. Yield Prophet® helps farmers monitor and manage crops in a variable climate. (2009) — 183 citations
• Re-inventing model-based decision support with Australian dryland farmers. 3. Relevance of APSIM to commercial crops. (2009) — 106 citations
• Potential to improve on-farm wheat yield and WUE in Australia (2009) — 142 citations
• Re-inventing model-based decision support with Australian dryland farmers. 1. Changing intervention concepts during 17 years of action research (2009) — 101 citations
• An overview of APSIM, a model designed for farming systems simulation (2003) — 2,796 citations