Amin Niayifar

768 total citations · 1 hit paper
8 papers, 523 citations indexed

About

Amin Niayifar is a scholar working on Nature and Landscape Conservation, Water Science and Technology and Ocean Engineering. According to data from OpenAlex, Amin Niayifar has authored 8 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nature and Landscape Conservation, 5 papers in Water Science and Technology and 3 papers in Ocean Engineering. Recurrent topics in Amin Niayifar's work include Fish Ecology and Management Studies (5 papers), Hydrology and Watershed Management Studies (3 papers) and Water resources management and optimization (3 papers). Amin Niayifar is often cited by papers focused on Fish Ecology and Management Studies (5 papers), Hydrology and Watershed Management Studies (3 papers) and Water resources management and optimization (3 papers). Amin Niayifar collaborates with scholars based in Switzerland, United Kingdom and United States. Amin Niayifar's co-authors include Fernando Porté‐Agel, Tom J. Battin, Robert O. Hall, Marta Boix Canadell, Amber J. Ulseth, Paolo Perona, Stuart N. Lane, Holly J. Oldroyd, Stefania Tron and Benoît Crouzy and has published in prestigious journals such as Water Resources Research, Nature Geoscience and Advances in Water Resources.

In The Last Decade

Amin Niayifar

8 papers receiving 513 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Analytical Modeling of Wind Farms: A New Approach for Power Prediction

2016 255 citations Amin Niayifar, Fernando Porté‐Agel Energies profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amin Niayifar Switzerland	7	330	243	130	91	78	8	523
Iain Fairley United Kingdom	15	200 0.6×	34 0.1×	47 0.4×	48 0.5×	164 2.1×	32	528
Levi Kilcher United States	12	141 0.4×	57 0.2×	40 0.3×	64 0.7×	290 3.7×	29	509
Anna Maria Sempreviva Italy	19	206 0.6×	255 1.0×	70 0.5×	63 0.7×	217 2.8×	53	939
Klaus Ketelsen Germany	5	86 0.3×	304 1.3×	106 0.8×	19 0.2×	48 0.6×	8	574
Nikki Vercauteren Germany	12	23 0.1×	245 1.0×	122 0.9×	19 0.2×	51 0.7×	37	576
David B. Gilhousen United States	8	118 0.4×	87 0.4×	22 0.2×	46 0.5×	329 4.2×	13	594
Marius O. Jonassen Norway	15	168 0.5×	206 0.8×	32 0.2×	6 0.1×	73 0.9×	36	669
Ganix Esnaola Spain	11	98 0.3×	47 0.2×	56 0.4×	57 0.6×	183 2.3×	26	411
Michel Desgagné Canada	11	32 0.1×	120 0.5×	51 0.4×	45 0.5×	71 0.9×	15	851
W.E. Bardsley New Zealand	13	56 0.2×	197 0.8×	18 0.1×	36 0.4×	28 0.4×	78	492

Countries citing papers authored by Amin Niayifar

Since Specialization

Citations

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

Fields of papers citing papers by Amin Niayifar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amin Niayifar

This figure shows the co-authorship network connecting the top 25 collaborators of Amin Niayifar. A scholar is included among the top collaborators of Amin Niayifar 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 Amin Niayifar. Amin Niayifar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Peter, Hannes, et al.. (2021). Morphogenesis and oxygen dynamics in phototrophic biofilms growing across a gradient of hydraulic conditions. iScience. 24(2). 102067–102067. 13 indexed citations

2.

Perona, Paolo, et al.. (2021). Frontiers of (Pareto) Optimal and Sustainable Water Management for Hydropower and Ecology. Frontiers in Environmental Science. 9. 4 indexed citations

3.

Ulseth, Amber J., et al.. (2019). Distinct air–water gas exchange regimes in low- and high-energy streams. Nature Geoscience. 12(4). 259–263. 129 indexed citations

4.

Tron, Stefania, et al.. (2018). Improving the ecohydrological and economic efficiency of Small Hydropower Plants with water diversion. Advances in Water Resources. 113. 249–259. 10 indexed citations

5.

Niayifar, Amin, Holly J. Oldroyd, Stuart N. Lane, & Paolo Perona. (2018). Modeling Macroroughness Contribution to Fish Habitat Suitability Curves. Water Resources Research. 54(11). 9306–9320. 17 indexed citations

6.

Niayifar, Amin & Paolo Perona. (2017). Dynamic water allocation policies improve the global efficiency of storage systems. Advances in Water Resources. 104. 55–64. 11 indexed citations

7.

Niayifar, Amin & Fernando Porté‐Agel. (2016). Analytical Modeling of Wind Farms: A New Approach for Power Prediction. Energies. 9(9). 741–741. 255 indexed citations breakdown →

8.

Niayifar, Amin & Fernando Porté‐Agel. (2015). A new analytical model for wind farm power prediction. Journal of Physics Conference Series. 625. 12039–12039. 84 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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