Yonas Dibike

4.9k total citations · 2 hit papers
68 papers, 3.8k citations indexed

About

Yonas Dibike is a scholar working on Atmospheric Science, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, Yonas Dibike has authored 68 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Atmospheric Science, 35 papers in Water Science and Technology and 30 papers in Global and Planetary Change. Recurrent topics in Yonas Dibike's work include Hydrology and Watershed Management Studies (34 papers), Cryospheric studies and observations (26 papers) and Climate variability and models (25 papers). Yonas Dibike is often cited by papers focused on Hydrology and Watershed Management Studies (34 papers), Cryospheric studies and observations (26 papers) and Climate variability and models (25 papers). Yonas Dibike collaborates with scholars based in Canada, Netherlands and United States. Yonas Dibike's co-authors include Paulin Coulibaly, Terry D. Prowse, Dimitri Solomatine, Michael B. Abbott, Slavco Velickov, Mohammad Sajjad Khan, Hyung‐Il Eum, Barrie Bonsal, Rajesh R. Shrestha and François Anctil and has published in prestigious journals such as The Science of The Total Environment, Geophysical Research Letters and Journal of Hydrology.

In The Last Decade

Yonas Dibike

68 papers receiving 3.7k citations

Hit Papers

Model Induction with Support Vector Machines: Introductio... 2001 2026 2009 2017 2001 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yonas Dibike Canada 30 2.0k 1.7k 1.7k 1.0k 303 68 3.8k
Karsten Schulz Austria 32 2.0k 1.0× 1.9k 1.1× 1.1k 0.6× 1.6k 1.6× 170 0.6× 120 4.0k
Aizhong Ye China 35 2.4k 1.2× 1.6k 1.0× 1.3k 0.8× 921 0.9× 119 0.4× 104 3.8k
Hyun‐Han Kwon South Korea 35 2.5k 1.3× 1.6k 0.9× 916 0.5× 741 0.7× 114 0.4× 238 3.7k
Robert Leconte Canada 33 2.5k 1.3× 2.4k 1.4× 1.6k 1.0× 810 0.8× 118 0.4× 128 4.1k
Jonas Olsson Sweden 35 2.5k 1.3× 1.3k 0.7× 1.2k 0.7× 1.1k 1.1× 134 0.4× 128 3.6k
Faisal Hossain United States 39 3.2k 1.6× 2.1k 1.2× 1.9k 1.2× 1.1k 1.1× 114 0.4× 183 4.8k
Harald Kling Austria 15 3.8k 1.9× 4.2k 2.5× 1.6k 1.0× 1.9k 1.9× 273 0.9× 23 5.8k
Kaoru Takara Japan 31 2.0k 1.0× 1.7k 1.0× 823 0.5× 732 0.7× 206 0.7× 273 3.6k
Jin Teng Australia 27 3.1k 1.6× 2.6k 1.5× 1.0k 0.6× 735 0.7× 89 0.3× 78 4.0k
Maoyi Huang United States 45 4.1k 2.1× 3.2k 1.9× 1.7k 1.0× 1.5k 1.5× 223 0.7× 140 6.3k

Countries citing papers authored by Yonas Dibike

Since Specialization
Citations

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

Fields of papers citing papers by Yonas Dibike

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yonas Dibike

This figure shows the co-authorship network connecting the top 25 collaborators of Yonas Dibike. A scholar is included among the top collaborators of Yonas Dibike 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 Yonas Dibike. Yonas Dibike 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.
Dibike, Yonas, John Spoelstra, Wendy A. Monk, et al.. (2024). Toward a Canadian national river water quality modeling system: state of science and future prospects. Environmental Reviews. 33. 1–26. 5 indexed citations
2.
Peters, Daniel L., et al.. (2023). Effects of Climate Change on Navigability Indicators of the Lower Athabasca River, Canada. Water. 15(7). 1373–1373. 5 indexed citations
3.
Li, Zhong, et al.. (2022). Assessing and predicting the severity of mid-winter breakups based on Canada-wide river ice data. Journal of Hydrology. 607. 127550–127550. 13 indexed citations
4.
Li, Zhong, et al.. (2022). Machine-learning approach for predicting the occurrence and timing of mid-winter ice breakups on canadian rivers. Environmental Modelling & Software. 152. 105402–105402. 8 indexed citations
5.
Dibike, Yonas, Rajesh R. Shrestha, Colin Johnson, Barrie Bonsal, & Paulin Coulibaly. (2021). Assessing Climatic Drivers of Spring Mean and Annual Maximum Flows in Western Canadian River Basins. Water. 13(12). 1617–1617. 4 indexed citations
6.
Culp, Joseph M., Ian G. Droppo, Alexa C. Alexander, et al.. (2021). Ecological effects and causal synthesis of oil sands activity impacts on river ecosystems: water synthesis review. Environmental Reviews. 29(2). 315–327. 22 indexed citations
7.
Dibike, Yonas, et al.. (2020). A Canadian River Ice Database from the National Hydrometric Program Archives. Earth system science data. 12(3). 1835–1860. 24 indexed citations
8.
Shakibaeinia, Ahmad, et al.. (2019). Numerical modelling of oil-sands tailings dam breach runout and overland flow. The Science of The Total Environment. 703. 134568–134568. 24 indexed citations
9.
Dibike, Yonas, et al.. (2018). Modelling the potential effects of Oil-Sands tailings pond breach on the water and sediment quality of the Lower Athabasca River. The Science of The Total Environment. 642. 1263–1281. 21 indexed citations
10.
Shakibaeinia, Ahmad, et al.. (2016). An integrated numerical framework for water quality modelling in cold-region rivers: A case of the lower Athabasca River. The Science of The Total Environment. 569-570. 634–646. 24 indexed citations
11.
Dibike, Yonas, et al.. (2016). Two-dimensional numerical modelling of sediment and chemical constituent transport within the lower reaches of the Athabasca River. Environmental Science and Pollution Research. 24(3). 2286–2303. 19 indexed citations
12.
Bring, Arvid, Irina Fedorova, Yonas Dibike, et al.. (2016). Arctic terrestrial hydrology: A synthesis of processes, regional effects, and research challenges. Journal of Geophysical Research Biogeosciences. 121(3). 621–649. 293 indexed citations breakdown →
13.
Dibike, Yonas, et al.. (2014). Numerical Modeling Of Flow And Sediment Transport Within The Lower Reaches Of The Athabasca River: A Case Study. CUNY Academic Works (City University of New York). 1 indexed citations
14.
Walker, Gilbert T., Terry D. Prowse, Yonas Dibike, & Barrie Bonsal. (2012). Climate Change Impacts on Precipitation Patterns and Water Storage in the High-latitude Dry Interior Climate of Northern Alberta, Canada. AGU Fall Meeting Abstracts. 2012. 1 indexed citations
15.
Dibike, Yonas, et al.. (2011). Response of Northern Hemisphere lake‐ice cover and lake‐water thermal structure patterns to a changing climate. Hydrological Processes. 25(19). 2942–2953. 92 indexed citations
16.
Dibike, Yonas, et al.. (2011). Simulation of North American lake‐ice cover characteristics under contemporary and future climate conditions. International Journal of Climatology. 32(5). 695–709. 52 indexed citations
17.
Dibike, Yonas & Paulin Coulibaly. (2006). Temporal neural networks for downscaling climate variability and extremes. Neural Networks. 19(2). 135–144. 123 indexed citations
18.
Lobbrecht, Arnold H., Yonas Dibike, & Dimitri Solomatine. (2005). Neural Networks and Fuzzy Systems in Model Based Control of the Overwaard Polder. Journal of Water Resources Planning and Management. 131(2). 135–145. 5 indexed citations
19.
Dibike, Yonas & Dimitri Solomatine. (2001). River flow forecasting using artificial neural networks. Physics and Chemistry of the Earth Part B Hydrology Oceans and Atmosphere. 26(1). 1–7. 192 indexed citations
20.
Dibike, Yonas, A. W. Minns, & Michael B. Abbott. (1999). Applications of artificial neural networks to the generation of wave equations from hydraulic data. Journal of Hydraulic Research. 37(1). 81–97. 30 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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