Daniele Ganora

85 total papers · 2.1k total citations
30 papers, 521 citations indexed

About

Daniele Ganora is a scholar working on Water Science and Technology, Global and Planetary Change and Ecology. According to data from OpenAlex, Daniele Ganora has authored 30 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Water Science and Technology, 19 papers in Global and Planetary Change and 6 papers in Ecology. Recurrent topics in Daniele Ganora's work include Hydrology and Watershed Management Studies (16 papers), Hydrology and Drought Analysis (15 papers) and Flood Risk Assessment and Management (11 papers). Daniele Ganora is often cited by papers focused on Hydrology and Watershed Management Studies (16 papers), Hydrology and Drought Analysis (15 papers) and Flood Risk Assessment and Management (11 papers). Daniele Ganora collaborates with scholars based in Italy, Pakistan and Germany. Daniele Ganora's co-authors include Pierluigi Claps, Francesco Laio, Andrea Libertino, Alberto Viglione, Alberto Pistocchi, Giorgio Galeati, Chiara Dorati, Corrado Sommariva, Raphael Semiat and Christian Breyer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Research and Scientific Reports.

In The Last Decade

Daniele Ganora

28 papers receiving 508 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Daniele Ganora	329	262	81	78	56	30	521
Dagbegnon Clement Sohoulande Djebou	171 0.5×	266 1.0×	96 1.2×	69 0.9×	13 0.2×	35	521
Guangwei Huang	121 0.4×	254 1.0×	61 0.8×	99 1.3×	77 1.4×	50	593
Jauad El Kharraz	219 0.7×	185 0.7×	52 0.6×	131 1.7×	95 1.7×	15	607
Gang Chen	109 0.3×	110 0.4×	116 1.4×	75 1.0×	41 0.7×	55	501
Tianyi Luo	139 0.4×	202 0.8×	49 0.6×	91 1.2×	64 1.1×	26	476
Olivier Hoes	158 0.5×	154 0.6×	33 0.4×	64 0.8×	61 1.1×	17	588
Toomas Tamm	237 0.7×	147 0.6×	53 0.7×	39 0.5×	15 0.3×	20	517
Neal T. Graham	233 0.7×	178 0.7×	80 1.0×	54 0.7×	19 0.3×	25	553
Chih‐Hua Chang	217 0.7×	86 0.3×	63 0.8×	39 0.5×	25 0.4×	37	561
Huiliang Wang	233 0.7×	396 1.5×	42 0.5×	134 1.7×	27 0.5×	31	579

Countries citing papers authored by Daniele Ganora

Since Specialization

Citations

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

Fields of papers citing papers by Daniele Ganora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Ganora

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

All Works

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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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