Patrick Filippi

941 total citations
35 papers, 639 citations indexed

About

Patrick Filippi is a scholar working on Environmental Engineering, Ecology and Plant Science. According to data from OpenAlex, Patrick Filippi has authored 35 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Environmental Engineering, 17 papers in Ecology and 13 papers in Plant Science. Recurrent topics in Patrick Filippi's work include Soil Geostatistics and Mapping (19 papers), Remote Sensing in Agriculture (17 papers) and Soil Carbon and Nitrogen Dynamics (9 papers). Patrick Filippi is often cited by papers focused on Soil Geostatistics and Mapping (19 papers), Remote Sensing in Agriculture (17 papers) and Soil Carbon and Nitrogen Dynamics (9 papers). Patrick Filippi collaborates with scholars based in Australia, Iran and United States. Patrick Filippi's co-authors include Thomas F. A. Bishop, Brett Whelan, Edward J. Jones, Liana E. Pozza, Sabastine U. Ugbaje, Thomas G. Jephcott, Stephen R. Cattle, Brendan Malone, M. Pringle and Budiman Minasny and has published in prestigious journals such as Geoderma, Remote Sensing and Field Crops Research.

In The Last Decade

Patrick Filippi

32 papers receiving 622 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Filippi Australia 13 291 279 229 152 76 35 639
Waldo Ojeda‐Bustamante Mexico 14 221 0.8× 352 1.3× 218 1.0× 105 0.7× 64 0.8× 77 833
Nahuel Raúl Peralta Argentina 11 302 1.0× 302 1.1× 373 1.6× 176 1.2× 48 0.6× 21 715
Khalid A. Al‐Gaadi Saudi Arabia 15 259 0.9× 373 1.3× 160 0.7× 114 0.8× 34 0.4× 66 750
Edward J. Jones Australia 15 197 0.7× 198 0.7× 330 1.4× 221 1.5× 53 0.7× 34 732
Brian W. Dunn Australia 14 190 0.7× 325 1.2× 251 1.1× 199 1.3× 92 1.2× 30 690
Rangaswamy Madugundu Saudi Arabia 14 269 0.9× 241 0.9× 198 0.9× 86 0.6× 33 0.4× 48 636
Daniela De Benedetto Italy 17 223 0.8× 220 0.8× 487 2.1× 127 0.8× 35 0.5× 29 770
B. M. Whelan Australia 15 265 0.9× 356 1.3× 397 1.7× 175 1.2× 53 0.7× 31 766
Jonathan P. Resop United States 11 298 1.0× 389 1.4× 191 0.8× 120 0.8× 153 2.0× 23 831
Danielle Skocaj Australia 9 202 0.7× 368 1.3× 150 0.7× 111 0.7× 56 0.7× 15 576

Countries citing papers authored by Patrick Filippi

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Filippi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Filippi

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Filippi. A scholar is included among the top collaborators of Patrick Filippi 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 Patrick Filippi. Patrick Filippi 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
1.
Filippi, Patrick, et al.. (2024). On crop yield modelling, predicting, and forecasting and addressing the common issues in published studies. Precision Agriculture. 26(1). 15 indexed citations
2.
Hu, Kun, et al.. (2024). Siamese Biattention Pooling Network for Change Detection in Remote Sensing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 7278–7291. 1 indexed citations
3.
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
4.
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
5.
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
6.
Filippi, Patrick, et al.. (2023). Use of interpretive machine learning and a crop model to investigate the impact of environment and management on soybean yield gap. Crop and Pasture Science. 75(1). 1 indexed citations
7.
Filippi, Patrick, et al.. (2023). Global Suitability Analysis of Current and Future Climates for Rainfed Wheat Production. International Journal of Plant Production. 17(3). 579–592. 3 indexed citations
8.
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
9.
Pozza, Liana E., et al.. (2022). Depth to sodicity constraint mapping of the Murray-Darling Basin, Australia. Geoderma. 428. 116181–116181. 4 indexed citations
10.
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
11.
Jones, Edward J., et al.. (2021). Mapping soil slaking index and assessing the impact of management in a mixed agricultural landscape. SOIL. 7(1). 33–46. 19 indexed citations
12.
Filippi, Patrick, et al.. (2021). Machine Learning Optimised Hyperspectral Remote Sensing Retrieves Cotton Nitrogen Status. Remote Sensing. 13(8). 1428–1428. 36 indexed citations
13.
Filippi, Patrick, et al.. (2021). The Relationship between Satellite-Derived Vegetation Indices and Live Weight Changes of Beef Cattle in Extensive Grazing Conditions. Remote Sensing. 13(20). 4132–4132. 12 indexed citations
14.
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
15.
Filippi, Patrick, Stephen R. Cattle, M. Pringle, & Thomas F. A. Bishop. (2021). Space-time monitoring of soil organic carbon content across a semi-arid region of Australia. Geoderma Regional. 24. e00367–e00367. 6 indexed citations
16.
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
17.
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
18.
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
19.
Filippi, Patrick, Stephen R. Cattle, Thomas F. A. Bishop, M. Pringle, & Edward J. Jones. (2018). Monitoring changes in soil salinity and sodicity to depth, at a decadal scale, in a semiarid irrigated region of Australia. Soil Research. 56(7). 696–711. 16 indexed citations
20.
Filippi, Patrick, Stephen R. Cattle, Thomas F. A. Bishop, Edward J. Jones, & Budiman Minasny. (2018). Combining ancillary soil data with VisNIR spectra to improve predictions of organic and inorganic carbon content of soils. MethodsX. 5. 551–560. 15 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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