Daniel Deere

4.0k total citations
71 papers, 3.0k citations indexed

About

Daniel Deere is a scholar working on Water Science and Technology, Parasitology and Infectious Diseases. According to data from OpenAlex, Daniel Deere has authored 71 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Water Science and Technology, 20 papers in Parasitology and 14 papers in Infectious Diseases. Recurrent topics in Daniel Deere's work include Fecal contamination and water quality (22 papers), Parasitic Infections and Diagnostics (20 papers) and Child Nutrition and Water Access (11 papers). Daniel Deere is often cited by papers focused on Fecal contamination and water quality (22 papers), Parasitic Infections and Diagnostics (20 papers) and Child Nutrition and Water Access (11 papers). Daniel Deere collaborates with scholars based in Australia, United Kingdom and United States. Daniel Deere's co-authors include Nicholas J. Ashbolt, Christobel Ferguson, Guy Howard, Nanda Altavilla, D.A. Veal, Graham Vesey, A. Davison, Jonathan Porter, Ana Maria de Roda Husman and Roger Pickup and has published in prestigious journals such as Applied and Environmental Microbiology, Water Research and Environmental Health Perspectives.

In The Last Decade

Daniel Deere

68 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Deere Australia 30 999 524 520 440 401 71 3.0k
Thor Axel Stenström South Africa 33 934 0.9× 345 0.7× 598 1.1× 688 1.6× 290 0.7× 96 3.4k
Thomas A. Edge Canada 35 1.9k 1.9× 295 0.6× 531 1.0× 299 0.7× 409 1.0× 94 3.5k
Elizabeth D. Hilborn United States 34 601 0.6× 349 0.7× 686 1.3× 259 0.6× 901 2.2× 67 3.6k
Norman F. Neumann Canada 32 524 0.5× 249 0.5× 508 1.0× 132 0.3× 246 0.6× 90 2.9k
Larry Wymer United States 32 1.3k 1.3× 168 0.3× 738 1.4× 273 0.6× 1.4k 3.4× 80 3.6k
Katarina Pintar Canada 28 553 0.6× 263 0.5× 688 1.3× 302 0.7× 250 0.6× 67 2.1k
Samuel R. Farrah United States 22 1.4k 1.4× 116 0.2× 603 1.2× 329 0.7× 382 1.0× 46 2.7k
Eugene W. Rice United States 38 1.5k 1.5× 447 0.9× 615 1.2× 545 1.2× 1.1k 2.6× 143 5.4k
Jatinder Sidhu Australia 33 1.3k 1.3× 122 0.2× 498 1.0× 301 0.7× 486 1.2× 79 3.2k
Mark A. Borchardt United States 34 1.6k 1.6× 113 0.2× 1.2k 2.3× 460 1.0× 406 1.0× 90 3.7k

Countries citing papers authored by Daniel Deere

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Deere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Deere

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Deere. A scholar is included among the top collaborators of Daniel Deere 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 Daniel Deere. Daniel Deere 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.
Bichai, Françoise, et al.. (2022). Water safety management during the initial phase of the Covid-19 pandemic: challenges, responses and guidance. International Journal of Water Resources Development. 39(2). 337–359. 5 indexed citations
2.
Neale, Peta A., Beate I. Escher, Milo L. de Baat, et al.. (2022). Effect-based monitoring to integrate the mixture hazards of chemicals into water safety plans. Journal of Water and Health. 20(12). 1721–1732. 17 indexed citations
3.
4.
Stevens, Daryl, Esmaeil Shahsavari, Arturo Aburto‐Medina, et al.. (2021). Improvement of Log Reduction Values Design Equations for Helminth Egg Management in Recycled Water. Water. 13(22). 3149–3149.
5.
Deere, Daniel, Frédéric D.L. Leusch, Andrew Humpage, David Cunliffe, & Stuart J. Khan. (2016). Hypothetical scenario exercises to improve planning and readiness for drinking water quality management during extreme weather events. Water Research. 111. 100–108. 18 indexed citations
6.
Khan, Stuart J., Daniel Deere, Frédéric D.L. Leusch, et al.. (2016). Lessons and guidance for the management of safe drinking water during extreme weather events. Environmental Science Water Research & Technology. 3(2). 262–277. 24 indexed citations
7.
Khan, Stuart J., et al.. (2015). Extreme weather events: Should drinking water quality management systems adapt to changing risk profiles?. Water Research. 85. 124–136. 198 indexed citations
8.
Deere, Daniel, et al.. (2010). Quantifying pathogen log reduction in Australian activated sludge plants. Water. 37(1). 56–62. 1 indexed citations
9.
Bryan, Brett A., et al.. (2009). Adaptive management for mitigating Cryptosporidium risk in source water: A case study in an agricultural catchment in South Australia. Journal of Environmental Management. 90(10). 3122–3134. 29 indexed citations
10.
Deere, Daniel, et al.. (2008). Water safety plans: planning for adverse events and communicating with consumers. Journal of Water and Health. 6(S1). 1–9. 29 indexed citations
11.
Keegan, Alexandra, et al.. (2007). UV Disinfection for Class A Water Recycling. 1 indexed citations
12.
Ryan, Una, Carolyn Read, Peter Hawkins, et al.. (2005). Genotypes of Cryptosporidium from Sydney water catchment areas. Journal of Applied Microbiology. 98(5). 1221–1229. 43 indexed citations
13.
Miller, Robert J., et al.. (2005). A national approach to risk assessment for drinking water catchments in Australia. Water Science & Technology Water Supply. 5(2). 123–134. 7 indexed citations
14.
Charles, Katrina, et al.. (2005). Effluent quality from 200 on-site sewage systems: design values for guidelines. Water Science & Technology. 51(10). 163–169. 34 indexed citations
15.
Charles, Katrina, et al.. (2004). Centralised versus decentralised sewage systems: a comparison of pathogen and nutrient loads released into Sydney's drinking water catchments. Water Science & Technology. 48(11-12). 53–60. 14 indexed citations
16.
O’Toole, Joanne, et al.. (2001). The role of total coliforms in drinking water quality management. Water. 28(1). 43–46.
17.
Deere, Daniel, et al.. (1998). Evaluation of fluorochromes for flow cytometric detection of Cryptosporidium parvum oocysts labelled by fluorescent in situ hybridization. Letters in Applied Microbiology. 27(6). 352–356. 13 indexed citations
18.
Vesey, Graham, et al.. (1997). Simple and rapid measurement of Cryptosporidium excystation using flow cytometry. International Journal for Parasitology. 27(11). 1353–1359. 31 indexed citations
19.
Vesey, Graham, et al.. (1997). A simple method for evaluating Cryptosporidium-specific antibodies used in monitoring environmental water samples. Letters in Applied Microbiology. 25(5). 316–320. 19 indexed citations
20.
Porter, Jonathan, Daniel Deere, Roger Pickup, & Clive Edwards. (1996). Fluorescent probes and flow cytometry: New insights into environmental bacteriology. Cytometry. 23(2). 91–96. 90 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

Breakdown of academic impact, for papers by Thor Axel Stenström Breakdown of academic impact, for papers by Thomas A. Edge Breakdown of academic impact, for papers by Elizabeth D. Hilborn Breakdown of academic impact, for papers by Norman F. Neumann Breakdown of academic impact, for papers by Larry Wymer Breakdown of academic impact, for papers by Katarina Pintar Breakdown of academic impact, for papers by Samuel R. Farrah Breakdown of academic impact, for papers by Eugene W. Rice Breakdown of academic impact, for papers by Jatinder Sidhu Breakdown of academic impact, for papers by Mark A. Borchardt
Rankless by CCL
2026