Germán A. Bollero

6.5k total citations
92 papers, 5.1k citations indexed

About

Germán A. Bollero is a scholar working on Plant Science, Agronomy and Crop Science and Soil Science. According to data from OpenAlex, Germán A. Bollero has authored 92 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Plant Science, 31 papers in Agronomy and Crop Science and 28 papers in Soil Science. Recurrent topics in Germán A. Bollero's work include Soil Carbon and Nitrogen Dynamics (25 papers), Soil Geostatistics and Mapping (22 papers) and Bioenergy crop production and management (16 papers). Germán A. Bollero is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (25 papers), Soil Geostatistics and Mapping (22 papers) and Bioenergy crop production and management (16 papers). Germán A. Bollero collaborates with scholars based in United States, Argentina and Brazil. Germán A. Bollero's co-authors include D. G. Bullock, Fernando E. Miguez, Michelle M. Wander, Matías L. Ruffo, Stephen P. Long, María B. Villamil, F. William Simmons, Newell R. Kitchen, Kenneth A. Sudduth and William J. Wiebold and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and New Phytologist.

In The Last Decade

Germán A. Bollero

90 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Germán A. Bollero United States 40 2.1k 1.9k 1.7k 775 580 92 5.1k
Brian J. Wienhold United States 38 1.5k 0.7× 3.2k 1.7× 1.1k 0.7× 662 0.9× 276 0.5× 116 5.1k
Gary E. Varvel United States 40 1.6k 0.8× 2.3k 1.2× 1.9k 1.1× 635 0.8× 503 0.9× 90 4.4k
Mark A. Liebig United States 39 1.6k 0.8× 3.4k 1.8× 2.0k 1.2× 614 0.8× 538 0.9× 173 6.3k
Maurício Roberto Cherubin Brazil 41 1.8k 0.9× 2.9k 1.5× 590 0.3× 502 0.6× 542 0.9× 211 4.7k
W. W. Wilhelm United States 33 1.6k 0.8× 1.7k 0.9× 1.9k 1.2× 329 0.4× 754 1.3× 74 4.0k
C. W. Wood United States 37 1.7k 0.8× 2.0k 1.0× 1.1k 0.7× 221 0.3× 292 0.5× 136 4.8k
Neil B. McLaughlin Canada 43 1.4k 0.7× 2.6k 1.4× 732 0.4× 345 0.4× 278 0.5× 179 5.0k
Michelle M. Wander United States 39 1.2k 0.6× 3.8k 2.0× 985 0.6× 592 0.8× 248 0.4× 94 5.5k
Carlos Clemente Cerri Brazil 49 1.4k 0.7× 4.5k 2.4× 676 0.4× 898 1.2× 483 0.8× 150 6.9k
David R. Huggins United States 37 1.8k 0.9× 2.4k 1.2× 1.2k 0.7× 600 0.8× 130 0.2× 131 4.9k

Countries citing papers authored by Germán A. Bollero

Since Specialization
Citations

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

Fields of papers citing papers by Germán A. Bollero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Germán A. Bollero. 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 Germán A. Bollero. The network helps show where Germán A. Bollero may publish in the future.

Co-authorship network of co-authors of Germán A. Bollero

This figure shows the co-authorship network connecting the top 25 collaborators of Germán A. Bollero. A scholar is included among the top collaborators of Germán A. Bollero 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 Germán A. Bollero. Germán A. Bollero 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.
Qin, Ziqi, Kaiyu Guan, Wang Zhou, et al.. (2021). Assessing the impacts of cover crops on maize and soybean yield in the U.S. Midwestern agroecosystems. Field Crops Research. 273. 108264–108264. 64 indexed citations
2.
Cipriotti, Pablo A., et al.. (2020). Design of on‐farm precision experiments to estimate site‐specific crop responses. Agronomy Journal. 113(2). 1366–1380. 9 indexed citations
3.
Bollero, Germán A., et al.. (2020). Field‐specific yield response to variable seeding depth of corn in the Midwest. Agrosystems Geosciences & Environment. 3(1). 13 indexed citations
4.
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
5.
Cipriotti, Pablo A., et al.. (2019). Experimental Designs and Estimation Methods for On‐Farm Research: A Simulation Study of Corn Yields at Field Scale. Agronomy Journal. 111(6). 2724–2735. 19 indexed citations
6.
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
7.
Serão, Nick V. L., Dianelys González-Peña, Jonathan E. Beever, et al.. (2013). Bivariate Genome-Wide Association Analysis of the Growth and Intake Components of Feed Efficiency. PLoS ONE. 8(10). e78530–e78530. 27 indexed citations
8.
Koeser, Andrew K., J. Ryan Stewart, Germán A. Bollero, D. G. Bullock, & Daniel Struve. (2009). Impacts of Handling and Transport on the Growth and Survival of Balled-and-burlapped Trees. HortScience. 44(1). 53–58. 11 indexed citations
9.
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
10.
Bollero, Germán A., et al.. (2008). Defining the Rate Requirements for Synergism Between Mesotrione and Atrazine in Redroot Pigweed (Amaranthus Retroflexus). Weed Science. 56(2). 265–270. 50 indexed citations
11.
Bullock, David S., Matías L. Ruffo, D. G. Bullock, & Germán A. Bollero. (2008). The Value of Variable Rate Technology: An Information‐Theoretic Approach. American Journal of Agricultural Economics. 91(1). 209–223. 39 indexed citations
12.
13.
Ruffo, Matías L., Germán A. Bollero, David S. Bullock, & D. G. Bullock. (2006). Site-specific production functions for variable rate corn nitrogen fertilization. Precision Agriculture. 7(5). 327–342. 47 indexed citations
14.
Ruffo, Matías L., Germán A. Bollero, & D. G. Bullock. (2005). Spatial variability of the Illinois soil nitrogen test: implications for soil sampling. 751–757. 2 indexed citations
15.
Miguez, Fernando E. & Germán A. Bollero. (2005). Review of Corn Yield Response under Winter Cover Cropping Systems Using Meta‐Analytic Methods. Crop Science. 45(6). 2318–2329. 216 indexed citations
16.
Drummond, Scott T., Kenneth A. Sudduth, Newell R. Kitchen, et al.. (2003). Neural network analysis of site-specific soil, landscape and yield data.. 933–947.
17.
McGuire, Nancy, et al.. (2002). Detection of Occult Urinary Tract Infections in Dogs With Diabetes Mellitus. Journal of the American Animal Hospital Association. 38(6). 541–544. 43 indexed citations
18.
Wander, Michelle M., et al.. (2002). Soil quality: Science and process. Agronomy Journal. 94(1). 23–32. 52 indexed citations
19.
Wander, Michelle M., et al.. (2002). Soil Quality. Agronomy Journal. 94(1). 23–32. 8 indexed citations
20.
Wander, Michelle M., et al.. (1997). A farmer-centered approach to developing information for soil resource management: The Illinois Soil Quality Initiative. American Journal of Alternative Agriculture. 12(2). 64–72. 20 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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