David G. Rossiter

7.2k total citations · 2 hit papers
137 papers, 4.8k citations indexed

About

David G. Rossiter is a scholar working on Environmental Engineering, Soil Science and Artificial Intelligence. According to data from OpenAlex, David G. Rossiter has authored 137 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Environmental Engineering, 34 papers in Soil Science and 26 papers in Artificial Intelligence. Recurrent topics in David G. Rossiter's work include Soil Geostatistics and Mapping (50 papers), Geochemistry and Geologic Mapping (21 papers) and Soil Carbon and Nitrogen Dynamics (19 papers). David G. Rossiter is often cited by papers focused on Soil Geostatistics and Mapping (50 papers), Geochemistry and Geologic Mapping (21 papers) and Soil Carbon and Nitrogen Dynamics (19 papers). David G. Rossiter collaborates with scholars based in United States, Netherlands and China. David G. Rossiter's co-authors include G.B.M. Heuvelink, Tomislav Hengl, Laura Poggio, Bas Kempen, Luís Moreira de Sousa, N.H. Batjes, Eloi Ribeiro, Martin Yemefack, Gan‐Lin Zhang and Victor Jetten and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

David G. Rossiter

125 papers receiving 4.6k citations

Hit Papers

SoilGrids 2.0: produc... 2007 2026 2013 2019 2021 2007 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David G. Rossiter United States 33 2.1k 1.4k 1.0k 981 957 137 4.8k
J.G.B. Leenaars Netherlands 13 1.9k 0.9× 1.5k 1.1× 676 0.7× 1.4k 1.4× 1.1k 1.2× 37 5.2k
R.A. MacMillan Canada 16 2.4k 1.1× 1.7k 1.2× 929 0.9× 1.6k 1.6× 1.3k 1.3× 27 5.8k
Jorge Mendes de Jesus Netherlands 5 1.8k 0.8× 1.3k 1.0× 584 0.6× 1.4k 1.4× 1.1k 1.1× 9 4.8k
D.J. Brus Netherlands 35 3.0k 1.4× 1.4k 1.0× 533 0.5× 751 0.8× 1.1k 1.2× 125 5.0k
Inakwu Odeh Australia 40 3.2k 1.5× 1.8k 1.3× 1.2k 1.2× 1.8k 1.8× 1.6k 1.7× 82 6.2k
Laura Poggio United Kingdom 27 1.7k 0.8× 1.1k 0.8× 459 0.5× 895 0.9× 968 1.0× 65 3.7k
Ruhollah Taghizadeh‐Mehrjardi Iran 36 2.6k 1.2× 1.4k 1.0× 1.0k 1.0× 488 0.5× 961 1.0× 139 4.2k
Markus Walsh Kenya 18 2.4k 1.1× 1.3k 0.9× 528 0.5× 608 0.6× 902 0.9× 27 4.2k
Thomas F. A. Bishop Australia 31 2.6k 1.2× 1.6k 1.2× 443 0.4× 871 0.9× 990 1.0× 110 4.6k
Arwyn Jones Italy 39 1.3k 0.6× 2.1k 1.5× 495 0.5× 933 1.0× 1.4k 1.5× 81 5.4k

Countries citing papers authored by David G. Rossiter

Since Specialization
Citations

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

Fields of papers citing papers by David G. Rossiter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Rossiter

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Rossiter. A scholar is included among the top collaborators of David G. Rossiter 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 David G. Rossiter. David G. Rossiter 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
2.
Amsili, Joseph P., et al.. (2025). Digitally mapping soil health at regional scale: disentangling drivers and predicting spatial land use effects. Geoderma. 460. 117401–117401. 1 indexed citations
3.
Widyatmanti, Wirastuti, et al.. (2025). The definition of soil science from a geographical perspective. Socio-Environmental Systems Modeling. 20. 100199–100199.
4.
Yang, Fei, et al.. (2024). Provenance of soil parent materials in relation to regional environmental changes in the Songnen Plain, Northeast China. Geoderma Regional. 38. e00848–e00848. 6 indexed citations
5.
Samaddar, Arindam, David G. Rossiter, R. K. Malik, et al.. (2024). Transitions to crop residue burning have multiple antecedents in Eastern India. Agronomy for Sustainable Development. 44(6). 59–59. 6 indexed citations
6.
Rossiter, David G., et al.. (2023). The choice of spectral similarity algorithms influences suspected soil sample provenance. Forensic Science International. 347. 111688–111688. 5 indexed citations
7.
Hamilton, Douglas S., David G. Rossiter, N. M. Mahowald, et al.. (2023). Rice residue burning trajectories in Eastern India: current realities, scenarios of change, and implications for air quality. Environmental Research Letters. 19(1). 14006–14006. 4 indexed citations
8.
Rossiter, David G., Laura Poggio, Dylan Beaudette, & Zamir Libohova. (2022). How well does digital soil mapping represent soil geography? An investigation from the USA. SOIL. 8(2). 559–586. 22 indexed citations
9.
Brus, D.J., et al.. (2021). Bayesian approach for sample size determination, illustrated with Soil Health Card data of Andhra Pradesh (India). Geoderma. 405. 115396–115396. 1 indexed citations
10.
Poggio, Laura, N.H. Batjes, Jan de Leeuw, et al.. (2019). Challenges for soil functions assessment and mapping at continental scale and some preliminary results. Socio-Environmental Systems Modeling. 9218. 1 indexed citations
11.
Zhao, Mingsong, David G. Rossiter, Chao Li, et al.. (2014). Mapping soil organic matter in low-relief areas based on land surface diurnal temperature difference and a vegetation index. Ecological Indicators. 39. 120–133. 57 indexed citations
12.
Rossiter, David G., et al.. (2011). Construcción de modelos digitales de terreno para la evaluación de tierras. 2(1). 37–44.
13.
Hengl, Tomislav, David G. Rossiter, & Alfred Stein. (2003). Soil sampling strategies for spatial prediction by correlation with auxiliary maps. University of Twente Research Information. 41(8). 1403–1422. 99 indexed citations
14.
Rossiter, David G.. (2002). On - line soil resource inventories : status and prospects. University of Twente Research Information. 1 indexed citations
15.
Rossiter, David G.. (2001). Assessing the Thematic Accuracy of Area-Class Soil Maps. 5 indexed citations
16.
Rossiter, David G.. (1997). Automated Land Evaluation System : ALES version 4.65 user's manual. University of Twente Research Information. 16 indexed citations
17.
Rossiter, David G. & Andrew Horner. (1996). Visualization and manipulation of 3D digital waveguide structures for sound experimentation. The Journal of the Abraham Lincoln Association. 1996. 43–46. 2 indexed citations
18.
Rossiter, David G., et al.. (1996). A system for the complementary visualization of 3D volume images using 2D and 3D binaurally processed sonification representations. IEEE Visualization. 25(11). 351–354. 6 indexed citations
19.
Rossiter, David G.. (1994). Lecture notes: Land evaluation. 3 indexed citations
20.
Rossiter, David G. & David M. Howard. (1994). Voice Source and Acoustic Output Qualities for Singing Synthesis.. The Journal of the Abraham Lincoln Association. 1994. 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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