Fernando E. Miguez

7.4k total citations · 4 hit papers
100 papers, 5.2k citations indexed

About

Fernando E. Miguez is a scholar working on Agronomy and Crop Science, Plant Science and Soil Science. According to data from OpenAlex, Fernando E. Miguez has authored 100 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Agronomy and Crop Science, 42 papers in Plant Science and 32 papers in Soil Science. Recurrent topics in Fernando E. Miguez's work include Soil Carbon and Nitrogen Dynamics (31 papers), Bioenergy crop production and management (28 papers) and Crop Yield and Soil Fertility (28 papers). Fernando E. Miguez is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (31 papers), Bioenergy crop production and management (28 papers) and Crop Yield and Soil Fertility (28 papers). Fernando E. Miguez collaborates with scholars based in United States, Argentina and United Kingdom. Fernando E. Miguez's co-authors include Sotirios V. Archontoulis, Germán A. Bollero, Andrea Basche, T. C. Kaspar, Michael J. Castellano, David A. Laird, Guillermo S. Marcillo, Robert Horton, Stephen P. Long and Mark E. Westgate and has published in prestigious journals such as Science, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Fernando E. Miguez

96 papers receiving 5.0k citations

Hit Papers

Assessing potential of biochar for increasing water‐holdi... 2012 2026 2016 2021 2012 2013 2016 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando E. Miguez United States 36 2.2k 1.9k 1.8k 760 696 100 5.2k
Mark A. Liebig United States 39 3.4k 1.6× 2.0k 1.1× 1.6k 0.9× 585 0.8× 538 0.8× 173 6.3k
Sotirios V. Archontoulis United States 43 1.8k 0.8× 2.1k 1.1× 2.9k 1.7× 1.3k 1.7× 254 0.4× 151 5.4k
Wei Zhou China 48 3.6k 1.7× 1.2k 0.7× 2.8k 1.6× 694 0.9× 284 0.4× 162 6.1k
David W. Archer United States 33 1.6k 0.7× 948 0.5× 1.2k 0.7× 281 0.4× 465 0.7× 154 4.0k
W. W. Wilhelm United States 33 1.7k 0.8× 1.9k 1.0× 1.6k 0.9× 307 0.4× 754 1.1× 74 4.0k
Weidong Cao China 42 2.0k 0.9× 1.0k 0.5× 2.2k 1.2× 376 0.5× 419 0.6× 210 5.2k
Bruno José Rodrígues Alves Brazil 46 4.1k 1.9× 2.6k 1.4× 4.0k 2.3× 359 0.5× 596 0.9× 216 8.1k
Weijian Zhang China 44 2.6k 1.2× 1.0k 0.5× 2.3k 1.3× 1.1k 1.4× 166 0.2× 179 5.2k
S P Wani India 39 2.5k 1.1× 918 0.5× 2.8k 1.6× 534 0.7× 513 0.7× 309 6.7k
A. K. Nayak India 41 2.2k 1.0× 559 0.3× 2.6k 1.5× 538 0.7× 278 0.4× 268 6.0k

Countries citing papers authored by Fernando E. Miguez

Since Specialization
Citations

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

Fields of papers citing papers by Fernando E. Miguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando E. Miguez. 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 Fernando E. Miguez. The network helps show where Fernando E. Miguez may publish in the future.

Co-authorship network of co-authors of Fernando E. Miguez

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando E. Miguez. A scholar is included among the top collaborators of Fernando E. Miguez 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 Fernando E. Miguez. Fernando E. Miguez 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.
Villarino, Sebastián Horacio, et al.. (2025). Carbon and nutrient release from anaerobic digestate solids applied as a soil amendment. Soil Science Society of America Journal. 89(2). 1 indexed citations
3.
Villarino, Sebastián Horacio, et al.. (2025). Adding anaerobic digestate to commercial farm fields increases soil organic carbon. Journal of Agriculture and Food Research. 21. 101942–101942. 1 indexed citations
4.
Topp, Christopher N., et al.. (2024). Do newer maize hybrids grow roots faster and deeper?. Crop Science. 64(3). 1559–1576. 14 indexed citations
6.
Lee, Han, et al.. (2024). Key HPI axis receptors facilitate light adaptive behavior in larval zebrafish. Scientific Reports. 14(1). 7759–7759. 2 indexed citations
7.
Kyveryga, Peter, et al.. (2023). Late-season corn stalk nitrate measurements across the US Midwest from 2006 to 2018. Scientific Data. 10(1). 192–192. 2 indexed citations
8.
Slaton, Nathan A., Carl H. Bolster, Tom Bruulsema, et al.. (2022). Defining relative yield for soil test correlation and calibration trials in the Fertilizer Recommendation Support Tool. Soil Science Society of America Journal. 86(5). 1338–1353. 22 indexed citations
9.
Miguez, Fernando E., et al.. (2022). Augmenting agroecosystem models with remote sensing data and machine learning increases overall estimates of nitrate-nitrogen leaching. Environmental Research Letters. 17(11). 114010–114010. 6 indexed citations
10.
Miguez, Fernando E. & Hanna Poffenbarger. (2022). How can we estimate optimum fertilizer rates with accuracy and precision?. Agricultural & Environmental Letters. 7(1). 25 indexed citations
11.
Jaiswal, Deepak, Amanda P. De Souza, Søren Larsen, et al.. (2019). Reply to: Brazilian ethanol expansion subject to limitations. Nature Climate Change. 9(3). 211–212. 8 indexed citations
12.
Oddi, Facundo J., Fernando E. Miguez, Luciana Ghermandi, Lucas O. Bianchi, & Lucas A. Garibaldi. (2019). A nonlinear mixed‐effects modeling approach for ecological data: Using temporal dynamics of vegetation moisture as an example. Ecology and Evolution. 9(18). 10225–10240. 33 indexed citations
13.
Li, Wenqin, Jerome Dumortier, Hamze Dokoohaki, et al.. (2019). Regional techno‐economic and life‐cycle analysis of the pyrolysis‐bioenergy‐biochar platform for carbon‐negative energy. Biofuels Bioproducts and Biorefining. 13(6). 1428–1438. 27 indexed citations
14.
Poffenbarger, Hanna, Daniel W. Barker, Matthew J. Helmers, et al.. (2017). Maximum soil organic carbon storage in Midwest U.S. cropping systems when crops are optimally nitrogen-fertilized. PLoS ONE. 12(3). e0172293–e0172293. 132 indexed citations
15.
Jaiswal, Deepak, Amanda P. De Souza, Søren Larsen, et al.. (2017). Brazilian sugarcane ethanol as an expandable green alternative to crude oil use. Nature Climate Change. 7(11). 788–792. 117 indexed citations
16.
Wang, Dan, Jindong Sun, Xiaohui Feng, et al.. (2012). Impact of nitrogen allocation on growth and photosynthesis of Miscanthus (Miscanthus × giganteus). GCB Bioenergy. 4(6). 688–697. 59 indexed citations
17.
Miguez, Fernando E., Michael C. Dietze, Nigel G. Halford, et al.. (2011). Impacts of canopy position and nitrogen on nitrogen allocation and photosynthesis of switchgrass (Panicum virgatum L.).. Aspects of applied biology. 341–351. 2 indexed citations
18.
Miguez, Fernando E., Xin‐Guang Zhu, Stephen M. Humphries, Germán A. Bollero, & Stephen P. Long. (2009). A semimechanistic model predicting the growth and production of the bioenergy crop Miscanthus×giganteus: description, parameterization and validation. GCB Bioenergy. 1(4). 282–296. 61 indexed citations
19.
Toth, Amy L., Kranthi Varala, Thomas C. Newman, et al.. (2007). Wasp Gene Expression Supports an Evolutionary Link Between Maternal Behavior and Eusociality. Science. 318(5849). 441–444. 208 indexed citations
20.
Miguez, Fernando E.. (2007). Miscanthus X Giganteus Production: Meta-Analysis, Field Study and Mathematical Modeling. PhDT. 1 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.

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