Dan Pagendam

1.6k total citations
68 papers, 921 citations indexed

About

Dan Pagendam is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, Dan Pagendam has authored 68 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Environmental Engineering, 22 papers in Water Science and Technology and 12 papers in Global and Planetary Change. Recurrent topics in Dan Pagendam's work include Hydrology and Watershed Management Studies (21 papers), Soil Geostatistics and Mapping (11 papers) and Flood Risk Assessment and Management (8 papers). Dan Pagendam is often cited by papers focused on Hydrology and Watershed Management Studies (21 papers), Soil Geostatistics and Mapping (11 papers) and Flood Risk Assessment and Management (8 papers). Dan Pagendam collaborates with scholars based in Australia, United States and New Zealand. Dan Pagendam's co-authors include Brendan P. Kelaher, Paul A. Butcher, Andrew P. Colefax, P. K. Pollett, David Rassam, Tao Cui, Mat Gilfedder, Heather Hunter, Sreekanth Janardhanan and Joshua V. Ross and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Dan Pagendam

65 papers receiving 896 citations

Peers

Dan Pagendam

ECOLO

GPC

WST

NLC

Brian Klinkenberg Canada

Ralf Wieland Germany

Santanu Ray India

S. Sudhakar India

Samuel Adelabu South Africa

Federico Filipponi Italy

Jason A. Tullis United States

Álvaro Jaramillo Colombia

Martin Landa Czechia

Leonard K. Amekudzi Ghana

Brian Klinkenberg Canada

Dan Pagendam

214 ×0.9

584 ×2.7

ECOLO

450 ×2.2

GPC

160 ×0.8

WST

169 ×1.2

NLC

Citations per year, relative to Dan Pagendam Dan Pagendam (= 1×) peers Brian Klinkenberg

Countries citing papers authored by Dan Pagendam

Since Specialization

Citations

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

Fields of papers citing papers by Dan Pagendam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Pagendam

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Pagendam. A scholar is included among the top collaborators of Dan Pagendam 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 Dan Pagendam. Dan Pagendam 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

Datta, Abhirup, Christopher K. Wikle, Edward L. Boone, et al.. (2024). Assessing predictability of environmental time series with statistical and machine learning models. Environmetrics. 36(1). 5 indexed citations

Pagendam, Dan, Michael Bode, Christopher Drovandi, et al.. (2024). Predicting fine‐scale distributions and emergent spatiotemporal patterns from temporally dynamic step selection simulations. Ecography. 2025(2). 2 indexed citations

Li, Zhibin, Piotr Koniusz, Lu Zhang, Dan Pagendam, & Peyman Moghadam. (2023). Exploiting Field Dependencies for Learning on Categorical Data. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 1–14. 3 indexed citations

Pagendam, Dan, et al.. (2023). A log-additive neural model for spatio-temporal prediction of groundwater levels. Spatial Statistics. 55. 100740–100740. 4 indexed citations

Janardhanan, Sreekanth, et al.. (2023). Estimation of groundwater storage loss for the Indian Ganga Basin using multiple lines of evidence. Scientific Reports. 13(1). 1797–1797. 16 indexed citations

Pagendam, Dan, et al.. (2023). Estimating mosquito abundance and population suppression in an incompatible insect technique study. Journal of Applied Ecology. 60(9). 1803–1815. 1 indexed citations

Pagendam, Dan, et al.. (2023). Geostatistical based optimization of groundwater monitoring well network design. Frontiers in Earth Science. 11. 5 indexed citations

Pagendam, Dan, Samia Elfékih, Majed S. Nassar, et al.. (2022). Spatio-Temporal Modelling Informing Wolbachia Replacement Releases in a Low Rainfall Climate. Insects. 13(10). 949–949. 4 indexed citations

Sanderson, Conrad, et al.. (2021). Opportunistic emulation of computationally expensive simulations via Deep Learning. arXiv (Cornell University).

10.

Trewin, Brendan, Dan Pagendam, Brian J. Johnson, et al.. (2021). Mark-release-recapture of male Aedes aegypti (Diptera: Culicidae): Use of rhodamine B to estimate movement, mating and population parameters in preparation for an incompatible male program. PLoS neglected tropical diseases. 15(6). e0009357–e0009357. 13 indexed citations

11.

Trewin, Brendan, Hazel Parry, Dan Pagendam, et al.. (2021). Simulating an invasion: unsealed water storage (rainwater tanks) and urban block design facilitate the spread of the dengue fever mosquito, Aedes aegypti, in Brisbane, Australia. Biological Invasions. 23(12). 3891–3906. 12 indexed citations

12.

Janardhanan, Sreekanth, et al.. (2019). Optimal Design and Prediction-Independent Verification of Groundwater Monitoring Network. Water. 12(1). 123–123. 9 indexed citations

13.

Drovandi, Christopher, David J. Nott, & Dan Pagendam. (2017). New Insights into History Matching via Sequential Monte Carlo. QUT ePrints (Queensland University of Technology). 1 indexed citations

14.

Campbell, Paul, et al.. (2016). Characterization of the banana streak virus capsid protein and mapping of the immunodominant continuous B-cell epitopes to the surface-exposed N terminus. Journal of General Virology. 97(12). 3446–3457. 6 indexed citations

15.

Brunschot, Sharon van, J.H.W. Bergervoet, Dan Pagendam, et al.. (2014). A bead-based suspension array for the multiplexed detection of begomoviruses and their whitefly vectors. Journal of Virological Methods. 198. 86–94. 17 indexed citations

16.

Brunschot, Sharon van, J.H.W. Bergervoet, Dan Pagendam, et al.. (2014). Development of a Multiplexed Bead-Based Suspension Array for the Detection and Discrimination of Pospiviroid Plant Pathogens. PLoS ONE. 9(1). e84743–e84743. 26 indexed citations

17.

Pagendam, Dan, et al.. (2011). Optimal GPS tracking for estimating species movements. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 2 indexed citations

18.

Pagendam, Dan & A. H. Welsh. (2011). Statistical estimation of total discharge volumes. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 2 indexed citations

19.

Rassam, David & Dan Pagendam. (2009). Development and application of the Riparian Mapping Tool to identify priority rehabilitation areas for nitrogen removal in the Tully–Murray basin, Queensland, Australia. Marine and Freshwater Research. 60(11). 1165–1175. 10 indexed citations

20.

Rassam, David, et al.. (2006). Groundwater Surface Water Interactions: Modelling Denitrification and 15δN-18δO Fractionation During Bank Storage. 157. 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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