David J. Paull

2.4k total citations
100 papers, 1.7k citations indexed

About

David J. Paull is a scholar working on Ecology, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, David J. Paull has authored 100 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Ecology, 18 papers in Environmental Engineering and 17 papers in Atmospheric Science. Recurrent topics in David J. Paull's work include Wildlife Ecology and Conservation (24 papers), Remote Sensing in Agriculture (17 papers) and Species Distribution and Climate Change (16 papers). David J. Paull is often cited by papers focused on Wildlife Ecology and Conservation (24 papers), Remote Sensing in Agriculture (17 papers) and Species Distribution and Climate Change (16 papers). David J. Paull collaborates with scholars based in Australia, China and United States. David J. Paull's co-authors include Andrew W. Claridge, James Watson, David Freudenberger, Amy L. Griffin, Dustin J. Welbourne, Dyah Retno Panuju, Bambang H. Trisasongko, Jeffery A. Thompson, Xiuping Jia and Matthias Kramer and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

David J. Paull

96 papers receiving 1.6k citations

Peers

David J. Paull

ECOLO

GPC

NLC

Giuseppe Amatulli United States

P.W. Goedhart Netherlands

Kyle G. Horton United States

Cédric Gaucherel France

Aleks Terauds Australia

Andrew B. Davies United States

Peter T. Fretwell United Kingdom

Gianni Boris Pezzatti Switzerland

Donna Delparte United States

Helge Dietrich Germany

Giuseppe Amatulli United States

David J. Paull

648 ×0.7

ECOLO

940 ×2.3

GPC

360 ×1.0

487 ×1.6

NLC

255 ×1.1

Citations per year, relative to David J. Paull David J. Paull (= 1×) peers Giuseppe Amatulli

Countries citing papers authored by David J. Paull

Since Specialization

Citations

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

Fields of papers citing papers by David J. Paull

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Paull

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

All Works

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20 of 20 papers shown

Niven, Robert K., et al.. (2025). Inverse Bayesian Methods for Groundwater Vulnerability Assessment. SHILAP Revista de lepidopterología. 14–14.

Niven, Robert K., et al.. (2025). Enhancing groundwater vulnerability assessment through Bayesian inference. Journal of Hydrology. 653. 132781–132781. 3 indexed citations

Griffin, Amy L., et al.. (2024). A framework for appraising the status of disaster resilience within the multi-hazard environment of coastal Bangladesh. International Journal of Disaster Risk Reduction. 113. 104832–104832. 3 indexed citations

Shi, Haijing, Yan Zhang, Xihua Yang, et al.. (2024). A thermal infrared imaging observation system for the measurement of overland flow velocities under controlled laboratory conditions. Journal of Hydrology. 641. 131827–131827. 2 indexed citations

Shi, Haijing, et al.. (2024). Comparative effects of intermittent and continuous simulated rainstorms on rill erosion based on photogrammetry. Earth Surface Processes and Landforms. 49(15). 5227–5243. 1 indexed citations

Shi, Haijing, et al.. (2023). A digital close range photogrammetric observation system for measuring soil surface morphology during ongoing rainfall. Journal of Hydrology. 620. 129427–129427. 3 indexed citations

Niven, Robert K., et al.. (2022). Groundwater vulnerability assessment: A review including new statistical and hybrid methods. The Science of The Total Environment. 822. 153486–153486. 85 indexed citations

Niven, Robert K., et al.. (2022). Comparison of DRASTIC and DRASTICL groundwater vulnerability assessments of the Burdekin Basin, Queensland, Australia. The Science of The Total Environment. 858(Pt 3). 159945–159945. 26 indexed citations

Welbourne, Dustin J., et al.. (2020). Camera-traps are a cost-effective method for surveying terrestrial squamates: A comparison with artificial refuges and pitfall traps. PLoS ONE. 15(1). e0226913–e0226913. 22 indexed citations

10.

Trisasongko, Bambang H. & David J. Paull. (2019). L-band SAR for estimating aboveground biomass of rubber plantation in Java Island, Indonesia. Geocarto International. 35(12). 1327–1342. 12 indexed citations

11.

Guo, Yiqing, Xiuping Jia, David J. Paull, et al.. (2019). A Drone-Based Sensing System to Support Satellite Image Analysis for Rice Farm Mapping. 9376–9379. 16 indexed citations

12.

Paull, David J.. (2016). Foraging and Breeding Behaviour of the Australian Kestrel Falco cenchroides on the Northern Tablelands of New South Wales. Australian field ornithology. 14(3). 2 indexed citations

13.

Shi, Haijing, David J. Paull, & Scott Rayburg. (2015). Spatial heterogeneity of temperature across alpine boulder fields in New South Wales, Australia: multilevel modelling of drivers of microhabitat climate. International Journal of Biometeorology. 60(7). 965–976. 5 indexed citations

14.

Paull, David J., Brian G. Lees, & Jeffery A. Thompson. (2015). An Improved Liberal Cloud-Mask for Addressing Snow/Cloud Confusion with MODIS. Photogrammetric Engineering & Remote Sensing. 81(2). 119–129. 18 indexed citations

15.

Trisasongko, Bambang H., David J. Paull, & Dyah Retno Panuju. (2014). Identifying Natural Revegetation of Mine Waste Using Compact Polarimetry. 13(4). 2 indexed citations

16.

Paull, David J., et al.. (2014). Identification of important habitat for the Pilliga Mouse Pseudomys pilligaensis. Australian Zoologist. 37(1). 15–22. 2 indexed citations

17.

Paull, David J., et al.. (2009). COMPARATIVE EVALUATION OF SUBURBAN BUSHLAND AS FORAGING HABITAT FOR THE GLOSSY BLACK-COCKATOO. 33. 7–12. 2 indexed citations

18.

Kawakami, Takeshi, Roger K. Butlin, Mark Adams, David J. Paull, & Steven J. Cooper. (2008). GENETIC ANALYSIS OF A CHROMOSOMAL HYBRID ZONE IN THE AUSTRALIAN MORABINE GRASSHOPPERS (VANDIEMENELLA,VIATICASPECIES GROUP). Evolution. 63(1). 139–152. 40 indexed citations

19.

Paull, David J., et al.. (1999). Patterns of decline in the native mammal fauna of the north-west slopes of New South Wales. Australian Zoologist. 31(1). 210–224. 5 indexed citations

20.

Sagar, Paul M., et al.. (1997). Laying Dates, Breeding Success and Annual Breeding of Southern Royal Albatrosses Diomedea epomophora epomophora at Campbell Island During 1964-69. Emu - Austral Ornithology. 97(3). 194–199. 3 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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