Joel Gruver

2.1k total citations · 2 hit papers
9 papers, 1.5k citations indexed

About

Joel Gruver is a scholar working on Soil Science, Plant Science and Pollution. According to data from OpenAlex, Joel Gruver has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Soil Science, 4 papers in Plant Science and 3 papers in Pollution. Recurrent topics in Joel Gruver's work include Soil Carbon and Nitrogen Dynamics (6 papers), Pesticide and Herbicide Environmental Studies (2 papers) and Soil and Water Nutrient Dynamics (1 paper). Joel Gruver is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (6 papers), Pesticide and Herbicide Environmental Studies (2 papers) and Soil and Water Nutrient Dynamics (1 paper). Joel Gruver collaborates with scholars based in United States and China. Joel Gruver's co-authors include Ray R. Weil, K. R. Islam, S. Samson‐Liebig, Cong Tu, Xin Chen, Shuijin Hu, G. L. Hartman, Darin M. Eastburn, Liwei Wen and Andrea Porras‐Alfaro and has published in prestigious journals such as Plant and Soil, Plant Disease and Communications in Soil Science and Plant Analysis.

In The Last Decade

Joel Gruver

9 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Estimating active carbon for soil quality assessment: A simplified method for laboratory and field use

2003 780 citations K. R. Islam, Joel Gruver et al. American Journal of Alternative Agriculture profile →
Estimating active carbon for soil quality assessment: A simplified method for laboratory and field use

2003 610 citations Ray R. Weil, K. R. Islam et al. Renewable Agriculture and Food Systems profile →

Peers

Joel Gruver

SS

PS

EC

ECOLO

ACS

Juán Alberto Galantini Argentina

Angela Y. Y. Kong United States

Trond Maukon Henriksen Norway

D. K. Benbi India

Guillermo Alberto Studdert Argentina

L. Townley‐Smith Canada

Rafaela Ordóñez‐Fernández Spain

William J. Gale China

Cléver Briedis Brazil

P. L. O. A. Machado Brazil

Juán Alberto Galantini Argentina

Joel Gruver

1.1k ×0.9

SS

353 ×0.9

PS

283 ×0.7

EC

255 ×0.9

ECOLO

241 ×1.0

ACS

Citations per year, relative to Joel Gruver Joel Gruver (= 1×) peers Juán Alberto Galantini

Countries citing papers authored by Joel Gruver

Since Specialization

Citations

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

Fields of papers citing papers by Joel Gruver

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joel Gruver. 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 Joel Gruver. The network helps show where Joel Gruver may publish in the future.

Co-authorship network of co-authors of Joel Gruver

This figure shows the co-authorship network connecting the top 25 collaborators of Joel Gruver. A scholar is included among the top collaborators of Joel Gruver 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 Joel Gruver. Joel Gruver 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:

9 of 9 papers shown

1.

Wen, Liwei, et al.. (2017). Suppression of Soilborne Diseases of Soybean With Cover Crops. Plant Disease. 101(11). 1918–1928. 43 indexed citations

2.

Phippen, Winthrop B., et al.. (2016). A study of Glycine max (soybean) fungal communities under different agricultural practices. Plant Gene. 11. 8–16. 7 indexed citations

3.

Gruver, Joel. (2014). Evaluating the Sensitivity and Linearity of a Permanganate-Oxidizable Carbon Method. Communications in Soil Science and Plant Analysis. 46(4). 490–510. 17 indexed citations

4.

Gruver, Joel. (2007). Impact of Management and Texture on Soil Organic Matter Fractions. NCSU Libraries Repository (North Carolina State University Libraries). 2 indexed citations

5.

Gruver, Joel & Ray R. Weil. (2007). Farmer perceptions of soil quality and their relationship to management-sensitive soil parameters. Renewable Agriculture and Food Systems. 22(4). 271–281. 29 indexed citations

6.

Hu, Shuijin, Cong Tu, Xin Chen, & Joel Gruver. (2006). Progressive N limitation of plant response to elevated CO2: a microbiological perspective. Plant and Soil. 289(1-2). 47–58. 53 indexed citations

7.

Gruver, Joel. (2004). Quality control for a new permanganate oxidizable C method.. 85–95. 3 indexed citations

8.

Islam, K. R., et al.. (2003). Estimating active carbon for soil quality assessment: A simplified method for laboratory and field use. American Journal of Alternative Agriculture. 18(1). 3–17. 780 indexed citations breakdown →

9.

Weil, Ray R., et al.. (2003). Estimating active carbon for soil quality assessment: A simplified method for laboratory and field use. Renewable Agriculture and Food Systems. 18(1). 3–17. 610 indexed citations breakdown →

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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