Jonathan J. Ojeda

762 total citations
31 papers, 533 citations indexed

About

Jonathan J. Ojeda is a scholar working on Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science and Soil Science. According to data from OpenAlex, Jonathan J. Ojeda has authored 31 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Ecology, Evolution, Behavior and Systematics, 13 papers in Agronomy and Crop Science and 10 papers in Soil Science. Recurrent topics in Jonathan J. Ojeda's work include Climate change impacts on agriculture (19 papers), Crop Yield and Soil Fertility (8 papers) and Irrigation Practices and Water Management (7 papers). Jonathan J. Ojeda is often cited by papers focused on Climate change impacts on agriculture (19 papers), Crop Yield and Soil Fertility (8 papers) and Irrigation Practices and Water Management (7 papers). Jonathan J. Ojeda collaborates with scholars based in Australia, Argentina and United States. Jonathan J. Ojeda's co-authors include M. G. Agnusdei, O.P. Caviglia, Jeffrey J. Volenec, Sylvie M. Brouder, Ehsan Eyshi Rezaei, CL Mohammed, Tomas Remenyi, Neil Huth, Keith G. Pembleton and Rebecca M. B. Harris and has published in prestigious journals such as Nature Communications, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Jonathan J. Ojeda

27 papers receiving 526 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jonathan J. Ojeda Australia 16 243 227 183 166 114 31 533
Ixchel M. Hernández-Ochoa United States 13 353 1.5× 243 1.1× 93 0.5× 133 0.8× 110 1.0× 25 621
R.F. Zyskowski New Zealand 12 343 1.4× 181 0.8× 185 1.0× 247 1.5× 101 0.9× 29 617
Bernard Šiška Slovakia 6 277 1.1× 288 1.3× 115 0.6× 129 0.8× 186 1.6× 20 520
Vakhtang Shelia United States 11 409 1.7× 322 1.4× 181 1.0× 115 0.7× 173 1.5× 29 695
Hugo de Groot Netherlands 4 269 1.1× 263 1.2× 109 0.6× 139 0.8× 54 0.5× 5 439
Tony Fischer Australia 8 241 1.0× 98 0.4× 187 1.0× 145 0.9× 55 0.5× 9 481
Imma Farré Australia 9 458 1.9× 191 0.8× 335 1.8× 279 1.7× 231 2.0× 14 830
Andreas Enders Germany 8 190 0.8× 204 0.9× 87 0.5× 92 0.6× 110 1.0× 15 373
N.I. Huth Australia 4 258 1.1× 217 1.0× 141 0.8× 182 1.1× 91 0.8× 7 483
Phillip D. Alderman United States 13 305 1.3× 175 0.8× 116 0.6× 150 0.9× 121 1.1× 27 516

Countries citing papers authored by Jonathan J. Ojeda

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan J. Ojeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan J. Ojeda. 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 Jonathan J. Ojeda. The network helps show where Jonathan J. Ojeda may publish in the future.

Co-authorship network of co-authors of Jonathan J. Ojeda

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan J. Ojeda. A scholar is included among the top collaborators of Jonathan J. Ojeda 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 Jonathan J. Ojeda. Jonathan J. Ojeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ojeda, Jonathan J., et al.. (2025). Linking measurable and conceptual phosphorus pools (in APSIM) enables quantitative model initialisation. Soil and Tillage Research. 251. 106532–106532. 1 indexed citations
2.
3.
Aramburu-Merlos, Fernando, et al.. (2024). Adopting yield-improving practices to meet maize demand in Sub-Saharan Africa without cropland expansion. Nature Communications. 15(1). 4492–4492. 22 indexed citations
4.
Tenorio, Fatima A., Juan I. Rattalino Edreira, Juan Pablo Monzón, et al.. (2024). Filling the agronomic data gap through a minimum data collection approach. Field Crops Research. 308. 109278–109278. 4 indexed citations
5.
Waha, Katharina, et al.. (2023). Correction: Drivers and constraints of on-farm diversity. A review. Agronomy for Sustainable Development. 43(1). 1 indexed citations
6.
Ojeda, Jonathan J., et al.. (2023). Field and in-silico analysis of harvest index variability in maize silage. Frontiers in Plant Science. 14. 1206535–1206535. 1 indexed citations
7.
8.
Kamali, Bahareh, Ignacio J. Lorite, Heidi Webber, et al.. (2022). Uncertainty in climate change impact studies for irrigated maize cropping systems in southern Spain. Scientific Reports. 12(1). 4049–4049. 17 indexed citations
9.
Ojeda, Jonathan J., et al.. (2022). Yield gaps of lucerne (Medicago sativa L.) in livestock systems of Argentina. Annals of Applied Biology. 181(1). 22–32. 5 indexed citations
10.
Remenyi, Tomas, Rebecca M. B. Harris, CL Mohammed, et al.. (2022). Decomposing crop model uncertainty: A systematic review. Field Crops Research. 279. 108448–108448. 60 indexed citations
11.
Ojeda, Jonathan J., Ehsan Eyshi Rezaei, Bahareh Kamali, et al.. (2021). Impact of crop management and environment on the spatio-temporal variance of potato yield at regional scale. Field Crops Research. 270. 108213–108213. 27 indexed citations
12.
Grille, Sofía, et al.. (2021). Adherencia a las recomendaciones de tromboprofilaxis post-cesárea: estudio de corte transversal. Revista médica de Chile. 149(6). 881–887.
13.
Ojeda, Jonathan J., et al.. (2020). Historical and current approaches to decompose uncertainty in crop model predictions. Figshare. 555–556. 2 indexed citations
14.
Ojeda, Jonathan J., Ehsan Eyshi Rezaei, Tomas Remenyi, et al.. (2019). Effects of soil- and climate data aggregation on simulated potato yield and irrigation water requirement. The Science of The Total Environment. 710. 135589–135589. 27 indexed citations
15.
16.
Ojeda, Jonathan J., et al.. (2018). Modelling inter-annual variation in dry matter yield and precipitation use efficiency of perennial pastures and annual forage crops sequences. Agricultural and Forest Meteorology. 259. 1–10. 33 indexed citations
17.
Ojeda, Jonathan J., Keith G. Pembleton, O.P. Caviglia, et al.. (2017). Modelling forage yield and water productivity of continuous crop sequences in the Argentinian Pampas. European Journal of Agronomy. 92. 84–96. 23 indexed citations
18.
Ojeda, Jonathan J., Jeffrey J. Volenec, Sylvie M. Brouder, O.P. Caviglia, & M. G. Agnusdei. (2017). Modelling stover and grain yields, and subsurface artificial drainage from long-term corn rotations using APSIM. Agricultural Water Management. 195. 154–171. 26 indexed citations
19.
Ojeda, Jonathan J., Jeffrey J. Volenec, Sylvie M. Brouder, O.P. Caviglia, & M. G. Agnusdei. (2016). Evaluation of Agricultural Production Systems Simulator as yield predictor of Panicum virgatum and Miscanthus x giganteus in several US environments. GCB Bioenergy. 9(4). 796–816. 47 indexed citations
20.
Ojeda, Jonathan J., Keith G. Pembleton, M. R. Islam, M. G. Agnusdei, & S.C. García. (2015). Evaluation of the agricultural production systems simulator simulating Lucerne and annual ryegrass dry matter yield in the Argentine Pampas and south-eastern Australia. Agricultural Systems. 143. 61–75. 24 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ixchel M. Hernández-Ochoa Breakdown of academic impact, for papers by R.F. Zyskowski Breakdown of academic impact, for papers by Bernard Šiška Breakdown of academic impact, for papers by Vakhtang Shelia Breakdown of academic impact, for papers by Hugo de Groot Breakdown of academic impact, for papers by Tony Fischer Breakdown of academic impact, for papers by Imma Farré Breakdown of academic impact, for papers by Andreas Enders Breakdown of academic impact, for papers by N.I. Huth Breakdown of academic impact, for papers by Phillip D. Alderman
Rankless by CCL
2026