Amanda Ramcharan

743 total citations
8 papers, 520 citations indexed

About

Amanda Ramcharan is a scholar working on Environmental Engineering, Civil and Structural Engineering and Soil Science. According to data from OpenAlex, Amanda Ramcharan has authored 8 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Environmental Engineering, 2 papers in Civil and Structural Engineering and 2 papers in Soil Science. Recurrent topics in Amanda Ramcharan's work include Soil Geostatistics and Mapping (3 papers), Soil Carbon and Nitrogen Dynamics (2 papers) and Smart Agriculture and AI (2 papers). Amanda Ramcharan is often cited by papers focused on Soil Geostatistics and Mapping (3 papers), Soil Carbon and Nitrogen Dynamics (2 papers) and Smart Agriculture and AI (2 papers). Amanda Ramcharan collaborates with scholars based in United States, Tanzania and Netherlands. Amanda Ramcharan's co-authors include Skye Wills, Tomislav Hengl, Colby Brungard, Travis Nauman, Sharon Waltman, James A. Thompson, James P. Legg, David Hughes, Peter McCloskey and Francis M. Haas and has published in prestigious journals such as Soil Science Society of America Journal, Frontiers in Plant Science and Geoderma.

In The Last Decade

Amanda Ramcharan

8 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amanda Ramcharan United States	7	191	155	111	95	64	8	520
Benjamin Dumont Belgium	17	438 2.3×	146 0.9×	187 1.7×	244 2.6×	22 0.3×	62	862
Ivan Plašćak Croatia	11	124 0.6×	84 0.5×	53 0.5×	68 0.7×	26 0.4×	58	322
Priyanka Gautam India	8	116 0.6×	128 0.8×	167 1.5×	150 1.6×	70 1.1×	16	413
Francisco de Assis de Carvalho Pinto Brazil	14	213 1.1×	140 0.9×	127 1.1×	173 1.8×	34 0.5×	47	536
Sourabh Shrivastava India	10	127 0.7×	70 0.5×	9 0.1×	39 0.4×	7 0.1×	36	454
Jiuhao Li China	12	238 1.2×	38 0.2×	78 0.7×	85 0.9×	35 0.5×	37	453
M.A. Jiménez-Bello Spain	16	233 1.2×	123 0.8×	225 2.0×	104 1.1×	107 1.7×	34	617
Runyuan Wang China	16	575 3.0×	65 0.4×	491 4.4×	65 0.7×	67 1.0×	73	1.1k
Muhammad Naveed Tahir Pakistan	15	303 1.6×	82 0.5×	67 0.6×	150 1.6×	23 0.4×	45	613
Wenxuan Guo United States	13	288 1.5×	147 0.9×	93 0.8×	224 2.4×	14 0.2×	39	535

Countries citing papers authored by Amanda Ramcharan

Since Specialization

Citations

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

Fields of papers citing papers by Amanda Ramcharan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda Ramcharan

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

All Works

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8 of 8 papers shown

Asabere, Stephen Boahen, et al.. (2022). Spatio-temporal mapping of soil water storage in a semi-arid landscape of northern Ghana – A multi-tasked ensemble machine-learning approach. Geoderma. 410. 115691–115691. 12 indexed citations

Ramcharan, Amanda, et al.. (2020). Accuracy of a Smartphone-Based Object Detection Model, PlantVillage Nuru, in Identifying the Foliar Symptoms of the Viral Diseases of Cassava–CMD and CBSD. Frontiers in Plant Science. 11. 590889–590889. 42 indexed citations

Ramcharan, Amanda, et al.. (2019). A Mobile-Based Deep Learning Model for Cassava Disease Diagnosis. Frontiers in Plant Science. 10. 272–272. 164 indexed citations

Ramcharan, Amanda, Tomislav Hengl, Travis Nauman, et al.. (2018). Soil Property and Class Maps of the Conterminous United States at 100‐Meter Spatial Resolution. Soil Science Society of America Journal. 82(1). 186–201. 198 indexed citations

Nauman, Travis, Amanda Ramcharan, Colby Brungard, et al.. (2017). Soil Properties and Class 100m Grids United States. ScholarSphere (Penn State Libraries). 3 indexed citations

Ramcharan, Amanda, Tomislav Hengl, Dylan Beaudette, & Skye Wills. (2017). A Soil Bulk Density Pedotransfer Function Based on Machine Learning: A Case Study with the NCSS Soil Characterization Database. Soil Science Society of America Journal. 81(6). 1279–1287. 33 indexed citations

Ramcharan, Amanda & Tom L. Richard. (2017). Carbon and nitrogen environmental trade-offs of winter rye cellulosic biomass in the Chesapeake Watershed. Agricultural Systems. 156. 85–94. 10 indexed citations

Haas, Francis M., Amanda Ramcharan, & Frederick L. Dryer. (2011). Relative Reactivities of the Isomeric Butanols and Ethanol in an Ignition Quality Tester. Energy & Fuels. 25(9). 3909–3916. 58 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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