Michael Nones

1.6k total citations
73 papers, 1.0k citations indexed

About

Michael Nones is a scholar working on Ecology, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Michael Nones has authored 73 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Ecology, 36 papers in Global and Planetary Change and 31 papers in Water Science and Technology. Recurrent topics in Michael Nones's work include Hydrology and Sediment Transport Processes (38 papers), Hydrology and Watershed Management Studies (30 papers) and Soil erosion and sediment transport (27 papers). Michael Nones is often cited by papers focused on Hydrology and Sediment Transport Processes (38 papers), Hydrology and Watershed Management Studies (30 papers) and Soil erosion and sediment transport (27 papers). Michael Nones collaborates with scholars based in Poland, Italy and Germany. Michael Nones's co-authors include Gianluca Pescaroli, Massimo Guerrero, Hossein Hamidifar, Giampaolo Di Silvio, Paolo Ronco, Luca Galbusera, David Alexánder, Richard Boothroyd, Paweł M. Rowiński and Ricardo N. Szupiany and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Fluid Mechanics and Water Resources Research.

In The Last Decade

Michael Nones

69 papers receiving 993 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Nones Poland 18 544 472 352 266 127 73 1.0k
İnci Güneralp United States 18 760 1.4× 704 1.5× 327 0.9× 370 1.4× 175 1.4× 32 1.3k
Enhui Jiang China 12 271 0.5× 516 1.1× 490 1.4× 377 1.4× 121 1.0× 57 1.0k
Masato Kobiyama Brazil 15 410 0.8× 241 0.5× 410 1.2× 287 1.1× 35 0.3× 143 936
Shanzhong Qi China 17 405 0.7× 241 0.5× 221 0.6× 110 0.4× 73 0.6× 50 854
Saleh Yousefi Iran 20 707 1.3× 335 0.7× 292 0.8× 351 1.3× 68 0.5× 35 1.2k
Đoàn Văn Bình Vietnam 21 518 1.0× 397 0.8× 575 1.6× 234 0.9× 241 1.9× 55 1.3k
Nayan Sharma India 13 309 0.6× 318 0.7× 187 0.5× 154 0.6× 51 0.4× 55 671
Lindsay Beevers United Kingdom 19 803 1.5× 174 0.4× 489 1.4× 86 0.3× 45 0.4× 72 1.3k
Paul Samuels United Kingdom 16 552 1.0× 236 0.5× 364 1.0× 71 0.3× 43 0.3× 64 884
Wendy Merritt Australia 18 598 1.1× 610 1.3× 1.3k 3.6× 890 3.3× 131 1.0× 41 2.0k

Countries citing papers authored by Michael Nones

Since Specialization
Citations

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

Fields of papers citing papers by Michael Nones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Nones

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Nones. A scholar is included among the top collaborators of Michael Nones 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 Michael Nones. Michael Nones 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.
Chen, Qi, Zhijing Li, Yinjun Zhou, et al.. (2025). Evolution patterns, driving mechanisms, and ecological indicative effects of 730 lakes water color in the Yangtze River Basin (1984–2023). Journal of Hydrology. 653. 132695–132695. 3 indexed citations
2.
Oyunbaatar, Dambaravjaa, et al.. (2025). Leveraging the GEV Model to Estimate Flood Due to Extreme Rainfall in Ungauged Dry Catchments of the Gobi Region. Sustainability. 17(6). 2500–2500.
3.
Talebbeydokhti, Nasser, et al.. (2025). Application of Multi-Criteria Decision-Making Models for Assessment of Education Quality in Water Resources Engineering. Algorithms. 18(1). 12–12. 1 indexed citations
4.
Le, Hang T. T., et al.. (2024). Modelling sea and brackish water quality of Ha Long City (Vietnam) using machine learning and remote sensing techniques. Advances in Space Research. 75(6). 4575–4587.
5.
Nones, Michael, et al.. (2024). Assessment of meteorological, hydrological and groundwater drought in the Konya closed basin, Türkiye. Environmental Earth Sciences. 83(9). 7 indexed citations
6.
Nones, Michael, et al.. (2024). Modeling best management practices to reduce future sediment yield in the Fincha watershed, Ethiopia. International Journal of Sediment Research. 39(5). 737–749. 3 indexed citations
7.
Nones, Michael, et al.. (2023). Can sediments play a role in river flood risk mapping? Learning from selected European examples. Geoenvironmental Disasters. 10(1). 14 indexed citations
8.
Västilä, Kaisa, et al.. (2023). Influence of vegetation maintenance on flow and mixing: case study comparing fully cut with high-coverage conditions. Hydrology and earth system sciences. 27(4). 953–968. 4 indexed citations
9.
Hamidifar, Hossein & Michael Nones. (2023). Spatiotemporal variations of riverine flood fatalities: 70 years global to regional perspective. SHILAP Revista de lepidopterología. 2(2). 222–238. 17 indexed citations
10.
Nguyen, Minh, Matt Paget, Janet Anstee, et al.. (2022). Assessment of Human-Induced Effects on Sea/Brackish Water Chlorophyll-a Concentration in Ha Long Bay of Vietnam with Google Earth Engine. Remote Sensing. 14(19). 4822–4822. 7 indexed citations
11.
Nones, Michael, et al.. (2021). Laboratory Investigation of Sediment Transport under Transient Flow – Preliminary Results. 434(E-11). 75–77. 1 indexed citations
12.
13.
Nones, Michael, et al.. (2021). Monitoring the morphological evolution of a reach of the Italian Po River using multispectral satellite imagery and stage data. Geocarto International. 37(25). 8579–8601. 15 indexed citations
14.
Valero, Daniel, Isabella Schalko, Heide Friedrich, et al.. (2021). Pathways towards democratization of hydro-environment observations and data. Hydraulic Engineering Repository (HENRY) (Bundesanstalt für Wasserbau). 3 indexed citations
15.
Hamidifar, Hossein & Michael Nones. (2021). Global to regional overview of floods fatality: the 1951–2020 period. 9 indexed citations
16.
Nones, Michael & Massimo Guerrero. (2018). Numerical simulations of 12-years evolution of the Po River morphodynamics. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 7636. 1 indexed citations
17.
Nones, Michael, et al.. (2017). Long-term Morphodynamics of a Schematic River Analysed with a Zero-dimensional, Two-reach, Two-grainsize Model. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 4 indexed citations
18.
Nones, Michael, Massimo Guerrero, & Paolo Ronco. (2014). Opportunities from low-resolution modelling of river morphology in remote parts of the world. Earth Surface Dynamics. 2(1). 9–19. 15 indexed citations
19.
Nones, Michael, et al.. (2013). Impact of Land Use on Soil Erosion: Fincha Watershed Case. Proceedings of the IAHR World Congress. 40. 2858–2862.
20.
Nones, Michael, et al.. (2009). Sediment budget of rivers at watershed scale: the case of Adige River. EGUGA. 33(2). 1197–25. 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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