Leaderboards/Soil Geostatistics and Mapping

Soil Geostatistics and Mapping

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Erik S. Button
Bangor University
2
Muhammad Abdul Munnaf
Ghent University
3
Kamran Azizi
Isfahan University of Technology
4
Yilin Bao
Southwest General Health Center
5
Nicolas Francos
The University of Sydney
6
Huiwen Li
Northwestern Polytechnical University
7
Babak Kasraei
Simon Fraser University
8
Weigen Huang
University of Chinese Academy of Sciences
9
Fei Liang
China Agricultural University
10
Gustavo Willam Pereira
Instituto Federal do Sudeste de Minas Gerais

Rising Stars Papers

1
A framework for optimizing environmental covariates to support model interpretability in digital soil mapping
Geoderma|2024
66 cit.
2
A fine digital soil mapping by integrating remote sensing-based process model and deep learning method in Northeast China
Soil and Tillage Research|2024
28 cit.
3
Assessing the improvement potentials of climate model partitioning and time-variant feature extraction for soil organic carbon prediction
CATENA|2024
14 cit.
4
Is partial substitution of animal manure for synthetic fertilizer a viable N2O mitigation option? An integrative global meta-analysis
Field Crops Research|2024
14 cit.
5
The global pedogenon map: Combining and spatialising the factors of soil formation
Geoderma|2025
13 cit.
6
Mapping Soil Organic Carbon Stock Using Hyperspectral Remote Sensing: A Case Study in the Sele River Plain in Southern Italy
Remote Sensing|2024
11 cit.
7
Robot driven combined site-specific maize seeding and N fertilization: An agro-economic investigation
Computers and Electronics in Agriculture|2024
9 cit.
8
Valuing and integrating soil roles in assessing the capital dimension of soil security: An Australian case study
Soil Security|2024
9 cit.
9
Assessing Soil Condition and Capacity Using the Global Pedogenon Map Within the Americas’ Horse Latitudes
CATENA|2025
9 cit.
10
Data-driven modeling indicates projected increase in plant production confines warming-induced topsoil organic carbon change in China within a small range in the 21st Century
Sustainable Horizons|2025
8 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Luís Moreira de Sousa
University of Lisbon
2
Jonás D. De Basabe
Centro de Investigación Científica y de Educación Superior de Ensenada
3
Wenjun Ji
Shandong Academy of Agricultural Sciences
4
Anna J. Klein
Technical Solutions (United States)
5
Ad van Oostrum
ISRIC - World Soil Information
6
Pravat Kumar Shit
Vidyasagar University
7
Jingzhe Wang
Beijing Radiation Center
8
Ozias Hounkpatin
Aalto University
9
Seiji Shiozawa
Kurume University
10
Zhihui Mao
Chinese Academy of Fishery Sciences

Emerging Leaders Papers

1
Remote sensing of soil degradation: Progress and perspective
International Soil and Water Conservation Research|2023
278 cit.
2
Groundwater potential mapping using multi-criteria decision, bivariate statistic and machine learning algorithms: evidence from Chota Nagpur Plateau, India
Applied Water Science|2022
90 cit.
3
Geospatial assessment of groundwater quality using entropy-based irrigation water quality index and heavy metal pollution indices
Environmental Science and Pollution Research|2022
86 cit.
4
Free radicals trigger the closure of open pores in lignin-derived hard carbons toward improved sodium-storage capacity
Journal of Energy Chemistry|2024
84 cit.
5
Assessment of groundwater potential zone using MCDA and AHP techniques: case study from a tropical river basin of India
Applied Water Science|2022
82 cit.
6
Historical and future variation of soil organic carbon in China
Geoderma|2023
81 cit.
7
Exploring the capability of Gaofen-5 hyperspectral data for assessing soil salinity risks
International Journal of Applied Earth Observation and Geoinformation|2022
70 cit.
8
A comparison of performance measures of three machine learning algorithms for flood susceptibility mapping of river Silabati (tropical river, India)
Physics and Chemistry of the Earth Parts A/B/C|2022
55 cit.
9
SPAD monitoring of saline vegetation based on Gaussian mixture model and UAV hyperspectral image feature classification
Computers and Electronics in Agriculture|2022
55 cit.
10
Providing quality-assessed and standardised soil data to support global mapping and modelling (WoSIS snapshot 2023)
Earth system science data|2024
55 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Alex B. McBratney
The University of Sydney
2
Noel Cressie
Iowa State University
3
R. Webster
Rothamsted Research
4
Budiman Minasny
The University of Sydney
5
Unto Tapper
VTT Technical Research Centre of Finland
6
J. Andrés Christen
Mathematics Research Center
7
Robert B. Jackson
Cardiovascular Institute of the South
8
Abdul Mounem Mouazen
Ghent University
9
Zhou Shi
Hunan University
10
Bas Kempen
Wageningen University & Research

Current Senior Leaders Papers

1
STATISTICS FOR SPATIAL DATA
Terra Nova|1992
8.9k cit.
2
Positive matrix factorization: A non‐negative factor model with optimal utilization of error estimates of data values
Environmetrics|1994
6.3k cit.
3
The diversity and biogeography of soil bacterial communities
Proceedings of the National Academy of Sciences|2006
5.7k cit.
4
Statistics for Spatial Data.
Journal of the Royal Statistical Society Series A (Statistics in Society)|1993
5.2k cit.
5
THE VERTICAL DISTRIBUTION OF SOIL ORGANIC CARBON AND ITS RELATION TO CLIMATE AND VEGETATION
Ecological Applications|2000
5.1k cit.
6
TOWARD AN ECOLOGICAL CLASSIFICATION OF SOIL BACTERIA
Ecology|2007
5k cit.
7
SoilGrids250m: Global gridded soil information based on machine learning
PLoS ONE|2017
4.7k cit.
8
Flexible paleoclimate age-depth models using an autoregressive gamma process
Bayesian Analysis|2011
3.8k cit.
9
On digital soil mapping
Geoderma|2003
3.6k cit.
10
Flexible paleoclimate age-depth models using an autoregressive gamma process
Bayesian Analysis|2011
2.3k cit.

Reagents for Soil Geostatistics and Mapping

Citation-validated products used in this field

🔥 Trending

Gaining adoption fast

⭐ Top Rated

Best all-around

🌟 All-Time

Most validated

InnoCytoEvidence 66

Anti-mouse PD-1 / VEGF-A Antibody

Cited in 5 papers
#514701
View Evidence →
Cell Signaling TechnologyEvidence 66

MO25 alpha/CAB39 (C49D8) Rabbit Monoclonal Antibody

#2716$158,348
View Evidence →
Cell Signaling TechnologyEvidence 61

Versican (F4U1K) Rabbit Monoclonal Antibody

#98586$161,376
View Evidence →