Brett Whelan

3.9k total citations · 2 hit papers
42 papers, 2.7k citations indexed

About

Brett Whelan is a scholar working on Environmental Engineering, Ecology and Plant Science. According to data from OpenAlex, Brett Whelan has authored 42 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Environmental Engineering, 20 papers in Ecology and 18 papers in Plant Science. Recurrent topics in Brett Whelan's work include Remote Sensing in Agriculture (19 papers), Soil Geostatistics and Mapping (19 papers) and Smart Agriculture and AI (10 papers). Brett Whelan is often cited by papers focused on Remote Sensing in Agriculture (19 papers), Soil Geostatistics and Mapping (19 papers) and Smart Agriculture and AI (10 papers). Brett Whelan collaborates with scholars based in Australia, China and Denmark. Brett Whelan's co-authors include Salah Sukkarieh, Anna Chlingaryan, Alex B. McBratney, Tihomir Ancev, J. Bouma, Thomas F. A. Bishop, Patrick Filippi, Budiman Minasny, James A. Taylor and James Underwood and has published in prestigious journals such as Geoderma, Agricultural and Forest Meteorology and Remote Sensing.

In The Last Decade

Brett Whelan

42 papers receiving 2.6k 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.

Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review

2018 940 citations Salah Sukkarieh, Brett Whelan et al. Computers and Electronics in Agriculture profile →
Future Directions of Precision Agriculture

2005 556 citations Alex B. McBratney, Brett Whelan et al. Precision Agriculture profile →

Peers

Brett Whelan

PS

ECOLO

EE

AC

SS

S. A. Shearer United States

Frank Liebisch Switzerland

Spyros Fountas Greece

Rabi Narayan Sahoo India

Yue Shi China

Ian J. Yule New Zealand

Viacheslav I. Adamchuk Canada

Robin Gebbers Germany

Thomas Alexandridis Greece

Raphael Linker Israel

S. A. Shearer United States

Brett Whelan

1.3k ×0.9

PS

771 ×0.7

ECOLO

693 ×0.9

EE

314 ×1.1

AC

506 ×1.8

SS

Citations per year, relative to Brett Whelan Brett Whelan (= 1×) peers S. A. Shearer

Countries citing papers authored by Brett Whelan

Since Specialization

Citations

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

Fields of papers citing papers by Brett Whelan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brett Whelan

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

20 of 20 papers shown

1.

Filippi, Patrick, Brett Whelan, & Thomas F. A. Bishop. (2024). Proximal and remote sensing – what makes the best farm digital soil maps?. Soil Research. 62(2). 3 indexed citations

2.

Filippi, Patrick, Brett Whelan, & Thomas F. A. Bishop. (2024). Explainable Machine Learning to Map the Impact of Weather and Soil on Wheat Yield and Revenue Across the Eastern Australian Grain Belt. Agriculture. 14(12). 2318–2318. 1 indexed citations

3.

Whelan, Brett, et al.. (2024). Assessment of red-edge based vegetation indices for crop yield prediction at the field scale across large regions in Australia. European Journal of Agronomy. 164. 127479–127479. 5 indexed citations

4.

Wang, Jie, Patrick Filippi, S. Haan, et al.. (2024). Gaussian process regression for three-dimensional soil mapping over multiple spatial supports. Geoderma. 446. 116899–116899. 7 indexed citations

5.

Filippi, Patrick, et al.. (2022). Assessment of global, national and regional‐level digital soil mapping products at different spatial supports. European Journal of Soil Science. 73(5). 10 indexed citations

6.

Filippi, Patrick, Brett Whelan, W. Vervoort, & Thomas F. A. Bishop. (2021). Correction to: Identifying crop yield gaps with site- and season-specific data-driven models of yield potential. Precision Agriculture. 23(2). 602–602. 2 indexed citations

7.

Filippi, Patrick, et al.. (2021). Machine Learning Optimised Hyperspectral Remote Sensing Retrieves Cotton Nitrogen Status. Remote Sensing. 13(8). 1428–1428. 36 indexed citations

8.

Filippi, Patrick, Brett Whelan, W. Vervoort, & Thomas F. A. Bishop. (2021). Identifying crop yield gaps with site- and season-specific data-driven models of yield potential. Precision Agriculture. 23(2). 578–601. 6 indexed citations

9.

Fuentes, Ignacio, et al.. (2020). Mapping of Cotton Fields Within-Season Using Phenology-Based Metrics Derived from a Time Series of Landsat Imagery. Remote Sensing. 12(18). 3038–3038. 29 indexed citations

10.

Filippi, Patrick, Edward J. Jones, Liana E. Pozza, et al.. (2019). An approach to forecast grain crop yield using multi-layered, multi-farm data sets and machine learning. Precision Agriculture. 20(5). 1015–1029. 202 indexed citations

11.

Filippi, Patrick, et al.. (2019). Mapping the Depth-to-Soil pH Constraint, and the Relationship with Cotton and Grain Yield at the Within-Field Scale. Agronomy. 9(5). 251–251. 29 indexed citations

12.

Bender, Asher, Brett Whelan, & Salah Sukkarieh. (2019). A high‐resolution, multimodal data set for agricultural robotics: A Ladybird's‐eye view of Brassica. Journal of Field Robotics. 37(1). 73–96. 44 indexed citations

13.

Mortensen, Anders Krogh, Asher Bender, Brett Whelan, et al.. (2018). Segmentation of lettuce in coloured 3D point clouds for fresh weight estimation. Computers and Electronics in Agriculture. 154. 373–381. 54 indexed citations

14.

Sun, Wei, Brett Whelan, Alex B. McBratney, & Budiman Minasny. (2012). An integrated framework for software to provide yield data cleaning and estimation of an opportunity index for site-specific crop management. Precision Agriculture. 14(4). 376–391. 42 indexed citations

15.

McBratney, Alex B., et al.. (2007). Variability and Uncertainty in Spatial, Temporal and Spatiotemporal Crop‐Yield and Related Data. Novartis Foundation symposium. 210. 141–160. 14 indexed citations

16.

McBratney, Alex B., et al.. (2005). Extending Site-Specific Crop Management from individual fields to an entire farm. 857–863. 5 indexed citations

17.

Taylor, James A., et al.. (2005). Monitoring wheat protein content on-harvester - Australian experiences. 119. 369–375. 12 indexed citations

18.

Whelan, Brett, et al.. (2004). On the Economics of Precision Agriculture: Technical, Informational and Environmental Aspects. AgEcon Search (University of Minnesota, USA). 3 indexed citations

19.

Cousens, Roger, et al.. (2002). Sampling strategy is important for producing weed maps: a case study using kriging. Weed Science. 50(4). 542–546. 26 indexed citations

20.

Whelan, Brett & Alex B. McBratney. (2000). An Approach to Deconvoluting Grain-Flow within a Conventional Combine Harvester using a Parametric Transfer Function. Precision Agriculture. 2(4). 389–398. 11 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.

Explore authors with similar magnitude of impact