Daniele Tonina

5.7k total citations · 1 hit paper
109 papers, 4.0k citations indexed

About

Daniele Tonina is a scholar working on Water Science and Technology, Ecology and Environmental Chemistry. According to data from OpenAlex, Daniele Tonina has authored 109 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Water Science and Technology, 71 papers in Ecology and 41 papers in Environmental Chemistry. Recurrent topics in Daniele Tonina's work include Hydrology and Watershed Management Studies (72 papers), Hydrology and Sediment Transport Processes (66 papers) and Soil and Water Nutrient Dynamics (40 papers). Daniele Tonina is often cited by papers focused on Hydrology and Watershed Management Studies (72 papers), Hydrology and Sediment Transport Processes (66 papers) and Soil and Water Nutrient Dynamics (40 papers). Daniele Tonina collaborates with scholars based in United States, Italy and China. Daniele Tonina's co-authors include John M. Buffington, Alberto Bellin, Alessandra Marzadri, Rohan Benjankar, Charles H. Luce, W. J. Reeder, J. A. McKean, S. G. Benner, A. M. Quick and T. B. Farrell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Geophysical Research Atmospheres and Environmental Science & Technology.

In The Last Decade

Daniele Tonina

104 papers receiving 4.0k citations

Hit Papers

River Damming Impacts on ... 2023 2026 2024 2023 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniele Tonina United States 36 2.3k 1.8k 1.6k 1.3k 929 109 4.0k
Steven M. Wondzell United States 37 3.8k 1.7× 2.4k 1.3× 2.8k 1.7× 2.1k 1.6× 1.0k 1.1× 82 6.6k
I. A. Malcolm United Kingdom 42 3.3k 1.4× 2.1k 1.2× 1.4k 0.9× 1.2k 0.9× 2.1k 2.2× 92 4.9k
Jan H. Fleckenstein Germany 42 3.1k 1.4× 892 0.5× 2.5k 1.5× 2.0k 1.5× 375 0.4× 116 4.8k
Dale M. Robertson United States 36 1.9k 0.8× 1.3k 0.7× 2.2k 1.4× 362 0.3× 1.2k 1.3× 128 4.7k
Donald O. Rosenberry United States 46 2.8k 1.2× 2.1k 1.1× 1.4k 0.9× 2.0k 1.5× 480 0.5× 129 6.1k
K. J. Devito Canada 42 1.8k 0.8× 3.1k 1.7× 1.4k 0.8× 770 0.6× 315 0.3× 139 5.3k
David M. Wolock United States 41 4.1k 1.8× 1.3k 0.7× 975 0.6× 1.2k 0.9× 823 0.9× 135 6.1k
Nicholas Howden United Kingdom 33 2.0k 0.9× 595 0.3× 1.6k 1.0× 583 0.4× 340 0.4× 101 3.4k
C. Soulsby United Kingdom 37 3.3k 1.5× 1.2k 0.6× 1.6k 1.0× 1.1k 0.8× 607 0.7× 81 4.2k
T. P. Burt United Kingdom 44 2.5k 1.1× 2.0k 1.1× 1.7k 1.0× 906 0.7× 316 0.3× 105 5.3k

Countries citing papers authored by Daniele Tonina

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Tonina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Tonina

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Tonina. A scholar is included among the top collaborators of Daniele Tonina 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 Daniele Tonina. Daniele Tonina 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
3.
Reeder, W. J., Ralph Budwig, Vibhav Durgesh, et al.. (2025). Unveiling surface-subsurface flow interactions of a salmon redd. Advances in Water Resources. 199. 104947–104947.
4.
Sholtes, Joel, et al.. (2024). Fluvial pools as reach-scale thermal regulators. The Science of The Total Environment. 958. 177890–177890. 2 indexed citations
5.
Benjankar, Rohan, et al.. (2023). The role of water management and river morphology on stranding pool formation. Ecological Engineering. 196. 107101–107101. 2 indexed citations
6.
Budwig, Ralph, Vibhav Durgesh, W. J. Reeder, et al.. (2023). Measuring porous media velocity fields and grain bed architecture with a quantitative PLIF-based technique. Measurement Science and Technology. 34(12). 125805–125805. 4 indexed citations
7.
Reeder, W. J., et al.. (2023). The Role of Riverine Bed Roughness, Egg Pocket Location, and Egg Pocket Permeability on Salmonid Redd‐Induced Hyporheic Flows. Water Resources Research. 59(11). 3 indexed citations
8.
Reeder, W. J., et al.. (2023). Effect of Surface Hydraulics and Salmon Redd Size on Redd‐Induced Hyporheic Exchange. Water Resources Research. 59(6). 7 indexed citations
9.
Yager, Elowyn M., et al.. (2023). Impact of flow regulation on stream morphology and habitat quality distribution. The Science of The Total Environment. 878. 163016–163016. 13 indexed citations
10.
Marzadri, Alessandra, Alberto Bellin, Jennifer L. Tank, & Daniele Tonina. (2022). Predicting nitrous oxide emissions through riverine networks. The Science of The Total Environment. 843. 156844–156844. 2 indexed citations
11.
Chen, Yu‐Chen, et al.. (2022). Dam cascade unveils sediment methylmercury dynamics in reservoirs. Water Research. 212. 118059–118059. 16 indexed citations
12.
Yager, Elowyn M., et al.. (2021). Detecting multi‐scale riverine topographic variability and its influence on Chinook salmon habitat selection. Earth Surface Processes and Landforms. 46(5). 1026–1040. 14 indexed citations
13.
Kirk, Mark A., et al.. (2021). A biologically based measure of turbulence intensity for predicting fish passage behaviours. 9(1). 55–67. 11 indexed citations
14.
Tonina, Daniele, et al.. (2021). Nitrous Oxide Emissions From Drying Streams and Rivers. Geophysical Research Letters. 48(24). 4 indexed citations
15.
Tonina, Daniele, et al.. (2020). Some like it slow: a bioenergetic evaluation of habitat quality for juvenile Chinook salmon in the Lemhi River, Idaho. Canadian Journal of Fisheries and Aquatic Sciences. 77(7). 1221–1232. 11 indexed citations
16.
Reeder, W. J., et al.. (2020). A Biologically Friendly, Low‐Cost, and Scalable Method to Map Permeable Media Architecture and Interstitial Flow. Geophysical Research Letters. 48(3). 5 indexed citations
17.
Hassan, Marwan A., et al.. (2015). Does small-bodied salmon spawning activity enhance streambed mobility?. Water Resources Research. 51(9). 7467–7484. 17 indexed citations
18.
Benjankar, Rohan, et al.. (2015). REI: riparian ecosystem index to assess the impact of hydrologic regime changes on riparian ecosystems. Ecohydrology. 9(1). 153–166. 7 indexed citations
19.
Tonina, Daniele & John M. Buffington. (2011). Effects of stream discharge, alluvial depth and bar amplitude on hyporheic flow in pool‐riffle channels. Water Resources Research. 47(8). 88 indexed citations
20.
Tonina, Daniele, Alberto Bellin, & Alessandra Marzadri. (2008). Modeling Fine Sediment Infiltration Within the Hyporheic Zone. AGU Fall Meeting Abstracts. 2008. 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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