Eric W. Wilson

409 total citations
10 papers, 329 citations indexed

About

Eric W. Wilson is a scholar working on Plant Science, Agronomy and Crop Science and Ecology. According to data from OpenAlex, Eric W. Wilson has authored 10 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 6 papers in Agronomy and Crop Science and 1 paper in Ecology. Recurrent topics in Eric W. Wilson's work include Soybean genetics and cultivation (8 papers), Legume Nitrogen Fixing Symbiosis (7 papers) and Agronomic Practices and Intercropping Systems (5 papers). Eric W. Wilson is often cited by papers focused on Soybean genetics and cultivation (8 papers), Legume Nitrogen Fixing Symbiosis (7 papers) and Agronomic Practices and Intercropping Systems (5 papers). Eric W. Wilson collaborates with scholars based in United States and Costa Rica. Eric W. Wilson's co-authors include Shaun N. Casteel, Shawn P. Conley, Seth L. Naeve, Brian W. Diers, Vince M. Davis, Paul D. Esker, James E. Specht, W. J. Ross, John M. Orlowski and Kraig L. Roozeboom and has published in prestigious journals such as Crop Science, Agronomy Journal and California Agriculture.

In The Last Decade

Eric W. Wilson

10 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric W. Wilson United States	8	315	136	30	17	16	10	329
Jake Howie Australia	7	119 0.4×	101 0.7×	22 0.7×	21 1.2×	16 1.0×	14	197
Lucas Berger Munaro Brazil	8	282 0.9×	179 1.3×	44 1.5×	34 2.0×	14 0.9×	9	305
Jesús Castillo Colombia	8	329 1.0×	102 0.8×	58 1.9×	10 0.6×	9 0.6×	15	374
Ralph Fischer United States	6	207 0.7×	91 0.7×	20 0.7×	20 1.2×	29 1.8×	10	235
S. Peltzer Australia	5	278 0.9×	204 1.5×	38 1.3×	16 0.9×	3 0.2×	8	298
María Constanza Fleitas Argentina	10	246 0.8×	121 0.9×	13 0.4×	6 0.4×	9 0.6×	23	271
Matías Schierenbeck Argentina	12	252 0.8×	124 0.9×	17 0.6×	6 0.4×	7 0.4×	28	274
G. K. McDonald Australia	10	347 1.1×	154 1.1×	56 1.9×	30 1.8×	6 0.4×	14	380
Erick DeWolf United States	8	246 0.8×	159 1.2×	42 1.4×	62 3.6×	18 1.1×	8	294
MM Haque Bangladesh	10	283 0.9×	32 0.2×	51 1.7×	27 1.6×	11 0.7×	35	314

Countries citing papers authored by Eric W. Wilson

Since Specialization

Citations

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

Fields of papers citing papers by Eric W. Wilson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric W. Wilson. 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 Eric W. Wilson. The network helps show where Eric W. Wilson may publish in the future.

Co-authorship network of co-authors of Eric W. Wilson

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Xiong, Xiong, Eric W. Wilson, & Fabián G. Fernández. (2016). How variable is nitrogen in production agriculture fields?. Crops & Soils. 49(3). 38–42. 1 indexed citations

2.

Marburger, David A., John M. Orlowski, Eric W. Wilson, et al.. (2016). Characterizing Genotype × Management Interactions on Soybean Seed Yield. Crop Science. 56(2). 786–796. 17 indexed citations

3.

Orlowski, John M., David A. Marburger, Eric W. Wilson, et al.. (2016). High‐Input Management Systems Effect on Soybean Seed Yield, Yield Components, and Economic Break‐Even Probabilities. Crop Science. 56(4). 1988–2004. 32 indexed citations

4.

Mourtzinis, Spyridon, Eric W. Wilson, Vince M. Davis, et al.. (2014). The Use of Reflectance Data for In‐Season Soybean Yield Prediction. Agronomy Journal. 106(4). 1159–1168. 11 indexed citations

5.

Wilson, Eric W., Shawn P. Conley, Shaun N. Casteel, et al.. (2014). Fungicide Management Does Not Affect the Rate of Genetic Gain in Soybean. Agronomy Journal. 106(6). 2043–2054. 9 indexed citations

6.

Wilson, Eric W., Seth L. Naeve, Shawn P. Conley, et al.. (2014). Soybean Yield Partitioning Changes Revealed by Genetic Gain and Seeding Rate Interactions. Agronomy Journal. 106(5). 1631–1642. 80 indexed citations

7.

Wilson, Eric W., Vince M. Davis, Seth L. Naeve, et al.. (2014). Physiological and Phenological Responses of Historical Soybean Cultivar Releases to Earlier Planting. Crop Science. 54(2). 804–816. 44 indexed citations

8.

Wilson, Eric W., Vince M. Davis, Seth L. Naeve, et al.. (2013). Genetic Gain × Management Interactions in Soybean: I. Planting Date. Crop Science. 53(3). 1128–1138. 87 indexed citations

9.

Wilson, Eric W., Shawn P. Conley, Vince M. Davis, et al.. (2013). Genetic Gain × Management Interactions in Soybean: II. Nitrogen Utilization. Crop Science. 54(1). 340–348. 47 indexed citations

10.

Schaad, N. W. & Eric W. Wilson. (1971). Bacterial phloem canker of Persian walnut… development and control factors. California Agriculture. 25(4). 4–7. 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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