Daniel Deere

4.0k citations
71 papers · 3.0k indexed · h-index 30

Daniel Deere

68 papers receiving 2.8k citations

Peers

Daniel Deere
Comparison fields: 5 of 150
  • Parasitology 524
  • Water Science and Technology 999
  • Endocrinology 259
  • Health, Toxicology and Mutagenesis 401
  • Nutrition and Dietetics 440
Replace Thomas A. Edge with:
Thomas A. Edge Canada
Christobel Ferguson Australia
Larry Wymer United States
Thor Axel Stenström South Africa
Samuel R. Farrah United States
Katarina Pintar Canada
Elizabeth D. Hilborn United States
Mark A. Borchardt United States
Eugene W. Rice United States
Jack Schijven Netherlands
Daniel Deere relative to Thomas A. Edge Canada Thomas A. Edge's profile →
Citations per field
00.5×1.5×1.8×
Thomas A. Edge · 1×
Citations per year

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

The 25 scholars most cited alongside Daniel Deere, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Deere Line = papers co-authored together Daniel Deere links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202217
2 20225
3 202214
4 20210
5 201618
6 201624
7 2015198
8
Quantifying pathogen log reduction in Australian activated sludge plants
20101
9 200929
10 200543
11 200511
12 200423
13
The role of total coliforms in drinking water quality management
20010
14 1998122
15 199833
16 199827
17 199813
18 199731
19 199719
20 199545

About Daniel Deere

Daniel Deere is a scholar working on Parasitology, Water Science and Technology and Endocrinology, having authored 71 papers that have together received 3.0k indexed citations. Recurring topics across this work include Fecal contamination and water quality (22 papers), Parasitic Infections and Diagnostics (20 papers), Child Nutrition and Water Access (11 papers), Viral gastroenteritis research and epidemiology (7 papers), Mycobacterium research and diagnosis (6 papers), Amoebic Infections and Treatments (6 papers), Wastewater Treatment and Reuse (5 papers) and Water Quality and Pollution Assessment (5 papers). The work is most often cited by research in Parasitology (524 citations), Water Science and Technology (999 citations) and Endocrinology (259 citations). Daniel Deere has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Nicholas J. Ashbolt, Christobel Ferguson, Guy Howard, Nanda Altavilla, D.A. Veal, A. Davison, Graham Vesey, Jonathan Porter, Ana Maria de Roda Husman and Roger Pickup. Their work appears in journals such as Journal of Water and Health, Journal of Applied Microbiology, Applied and Environmental Microbiology, Water Science & Technology and Water Research.

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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