Daniel Caissie

82 papers receiving 4.0k citations

Daniel Caissie's Hit Papers

The thermal regime of rivers: a review 2006 · 1.4k citations
1.4k0+6+13Years since publication4008001.2k

Peers

Daniel Caissie
Comparison fields: 5 of 96
  • Nature and Landscape Conservation 2.5k
  • Water Science and Technology 2.7k
  • Environmental Engineering 1.3k
  • Ecology 1.8k
  • Global and Planetary Change 838
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B. Webb United Kingdom
I. A. Malcolm United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Caissie

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Caissie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Caissie, 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 Caissie Line = papers co-authored together Daniel Caissie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The thermal regime of rivers: a review
Hit paper breakdown →
20061364
2 2007203
3 2001179
4 2007148
5 2016123
6 2010108
7 1998107
8 2002107
9 2015100
10 199688
11 200887
12 200583
13 200080
14 200372
15 201164
16 200860
17 201460
18 200456
19 199550
20 201750

About Daniel Caissie

Daniel Caissie is a scholar working on Water Science and Technology, Nature and Landscape Conservation, Ecology, Environmental Engineering and Global and Planetary Change, having authored 83 papers that have together received 4.2k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (64 papers), Fish Ecology and Management Studies (48 papers), Hydrology and Sediment Transport Processes (32 papers), Hydrological Forecasting Using AI (20 papers), Soil and Water Nutrient Dynamics (10 papers), Hydrology and Drought Analysis (9 papers), Flood Risk Assessment and Management (6 papers) and Soil erosion and sediment transport (4 papers). The work is most often cited by research in Nature and Landscape Conservation (2.5k citations), Water Science and Technology (2.7k citations), Environmental Engineering (1.3k citations), Ecology (1.8k citations) and Global and Planetary Change (838 citations). Daniel Caissie has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Nassir El‐Jabi, André St‐Hilaire, Mysore G. Satish, Richard A. Cunjak, Loubna Benyahya, Taha B. M. J. Ouarda, Bernard Bobée, Barret L. Kurylyk, Kerry T. B. MacQuarrie and Matthew D. Alexander. Their work appears in journals such as Canadian Water Resources Journal / Revue canadienne des ressources hydriques, Canadian Journal of Civil Engineering, Hydrological Processes, Journal of Hydrology and River Research and Applications.

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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