Daniel Ricciuto

12.7k citations
136 papers · 4.3k · h-index 38

Impact in

Papers in

    • Plant Water Relations and Carbon Dynamics 54
    • Atmospheric and Environmental Gas Dynamics 49
    • Climate variability and models 31
    • Fire effects on ecosystems 14
    • Peatlands and Wetlands Ecology 35
    • Coastal wetland ecosystem dynamics 14

Daniel Ricciuto

133 papers receiving 4.3k citations

Peers

Daniel Ricciuto
Comparison fields: 5 of 112
  • Global and Planetary Change 3.0k
  • Atmospheric Science 1.2k
  • Ecology 1.4k
  • Soil Science 442
  • Ecological Modeling 185
Replace Steven Klooster with:
Steven Klooster United States
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Wenjie Dong China
Reto Stöckli Switzerland
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Beniamino Gioli Italy
Mingguo Ma China
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Daniel Ricciuto relative to Steven Klooster United States Steven Klooster's profile →
Citations per field
00.5×3.1×
Steven Klooster · 1×
Citations per year

Countries citing papers authored by Daniel Ricciuto

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ricciuto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006371
2 2014205
3 2020144
4 2014139
5 2016133
6 2009125
7 2013119
8 2017111
9 2007108
10 2012104
11 2011100
12 201190
13 201586
14 201782
15 201781
16 202078
17 202075
18 201374
19 201568
20 200866

About Daniel Ricciuto

Daniel Ricciuto is a scholar working on Global and Planetary Change, Ecology, Atmospheric Science, Soil Science and Plant Science, having authored 136 papers that have together received 4.3k indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (54 papers), Atmospheric and Environmental Gas Dynamics (49 papers), Peatlands and Wetlands Ecology (35 papers), Climate variability and models (31 papers), Soil Carbon and Nitrogen Dynamics (15 papers), Climate change and permafrost (15 papers), Coastal wetland ecosystem dynamics (14 papers) and Fire effects on ecosystems (14 papers). The work is most often cited by research in Global and Planetary Change (3.0k citations), Atmospheric Science (1.2k citations), Ecology (1.4k citations), Soil Science (442 citations) and Ecological Modeling (185 citations). Daniel Ricciuto has collaborated with scholars based in United States, China and France. Frequent co-authors include Peter Thornton, Jiafu Mao, Xiaoying Shi, K. J. Davis, Andrew D. Richardson, W. M. Post, Lianhong Gu, Xiaojuan Yang, Paul J. Hanson and Khachik Sargsyan. Their work appears in journals such as Agricultural and Forest Meteorology, Biogeosciences, Journal of Advances in Modeling Earth Systems, Geoscientific model development and Journal of Geophysical Research Biogeosciences.

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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