G. Mac Bean

1.0k total citations
10 papers, 330 citations indexed

About

G. Mac Bean is a scholar working on Soil Science, Agronomy and Crop Science and Environmental Chemistry. According to data from OpenAlex, G. Mac Bean has authored 10 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Soil Science, 5 papers in Agronomy and Crop Science and 4 papers in Environmental Chemistry. Recurrent topics in G. Mac Bean's work include Soil Carbon and Nitrogen Dynamics (7 papers), Crop Yield and Soil Fertility (5 papers) and Soil and Water Nutrient Dynamics (4 papers). G. Mac Bean is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (7 papers), Crop Yield and Soil Fertility (5 papers) and Soil and Water Nutrient Dynamics (4 papers). G. Mac Bean collaborates with scholars based in United States, Canada and China. G. Mac Bean's co-authors include Charlotte E. Norris, Shannon B. Cappellazzi, C. Wayne Honeycutt, Cristine L.S. Morgan, P. W. Tracy, Kelsey L.H. Greub, Daniel Liptzin, Michael Cope, Elizabeth L. Rieke and Fabián G. Fernández and has published in prestigious journals such as Soil Science Society of America Journal, Remote Sensing and Agronomy Journal.

In The Last Decade

G. Mac Bean

10 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
G. Mac Bean United States	8	185	111	98	91	91	10	330
Graeme Poile Australia	9	261 1.4×	75 0.7×	87 0.9×	88 1.0×	46 0.5×	20	347
Liu Wu-ren China	6	228 1.2×	69 0.6×	84 0.9×	75 0.8×	44 0.5×	15	314
Inderjot Chahal Canada	10	274 1.5×	128 1.2×	75 0.8×	147 1.6×	40 0.4×	15	405
Juliane Hirte Switzerland	11	330 1.8×	193 1.7×	110 1.1×	132 1.5×	38 0.4×	17	475
Alexandra Maltas Switzerland	9	303 1.6×	177 1.6×	62 0.6×	141 1.5×	49 0.5×	16	460
N. Elizabeth Schlatter Austria	6	247 1.3×	83 0.7×	110 1.1×	74 0.8×	27 0.3×	11	347
Jianxiong Huang China	9	203 1.1×	88 0.8×	116 1.2×	151 1.7×	67 0.7×	16	355
Júnior Melo Damian Brazil	14	187 1.0×	147 1.3×	111 1.1×	66 0.7×	89 1.0×	33	404
Jasdeep Singh United States	12	245 1.3×	84 0.8×	51 0.5×	105 1.2×	33 0.4×	19	347
Nouraya Akkal‐Corfini France	11	131 0.7×	75 0.7×	45 0.5×	34 0.4×	46 0.5×	17	293

Countries citing papers authored by G. Mac Bean

Since Specialization

Citations

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

Fields of papers citing papers by G. Mac Bean

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Mac Bean. 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 G. Mac Bean. The network helps show where G. Mac Bean may publish in the future.

Co-authorship network of co-authors of G. Mac Bean

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

All Works

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10 of 10 papers shown

Norris, Charlotte E., Mathew J.B. Swallow, Daniel Liptzin, et al.. (2023). Use of phospholipid fatty acid analysis as phenotypic biomarkers for soil health and the influence of management practices. Applied Soil Ecology. 185. 104793–104793. 36 indexed citations

Li, Dan, Yuxin Miao, Curtis J. Ransom, et al.. (2022). Corn Nitrogen Nutrition Index Prediction Improved by Integrating Genetic, Environmental, and Management Factors with Active Canopy Sensing Using Machine Learning. Remote Sensing. 14(2). 394–394. 35 indexed citations

Bean, G. Mac, Curtis J. Ransom, Newell R. Kitchen, et al.. (2021). Soil hydrologic grouping guide which soil and weather properties best estimate corn nitrogen need. Agronomy Journal. 113(6). 5541–5555. 6 indexed citations

Ransom, Curtis J., Jason D. Clark, G. Mac Bean, et al.. (2021). Data from a public–industry partnership for enhancing corn nitrogen research. Agronomy Journal. 113(5). 4429–4436. 7 indexed citations

Norris, Charlotte E., G. Mac Bean, Shannon B. Cappellazzi, et al.. (2020). Introducing the North American project to evaluate soil health measurements. Agronomy Journal. 112(4). 3195–3215. 129 indexed citations

Liptzin, Daniel, G. Mac Bean, Shannon B. Cappellazzi, et al.. (2020). Effects of climate, intrinsic soil properties, and management on soil health indicators of carbon dynamics. AGU Fall Meeting Abstracts. 2020. 1 indexed citations

Bean, G. Mac, Newell R. Kitchen, Kristen S. Veum, et al.. (2020). Relating four‐day soil respiration to corn nitrogen fertilizer needs across 49 U.S. Midwest fields. Soil Science Society of America Journal. 84(4). 1195–1208. 12 indexed citations

Bean, G. Mac, Newell R. Kitchen, James J. Camberato, et al.. (2018). Improving an Active‐Optical Reflectance Sensor Algorithm Using Soil and Weather Information. Agronomy Journal. 110(6). 2541–2551. 33 indexed citations

Bean, G. Mac, Newell R. Kitchen, James J. Camberato, et al.. (2018). Active‐Optical Reflectance Sensing Corn Algorithms Evaluated over the United States Midwest Corn Belt. Agronomy Journal. 110(6). 2552–2565. 29 indexed citations

10.

Kitchen, Newell R., John F. Shanahan, Curtis J. Ransom, et al.. (2017). A Public–Industry Partnership for Enhancing Corn Nitrogen Research and Datasets: Project Description, Methodology, and Outcomes. Agronomy Journal. 109(5). 2371–2389. 42 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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