P. La Barbera

1.9k total citations
44 papers, 1.4k citations indexed

About

P. La Barbera is a scholar working on Environmental Engineering, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, P. La Barbera has authored 44 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Environmental Engineering, 24 papers in Global and Planetary Change and 15 papers in Water Science and Technology. Recurrent topics in P. La Barbera's work include Hydrology and Watershed Management Studies (14 papers), Flood Risk Assessment and Management (13 papers) and Hydrology and Drought Analysis (10 papers). P. La Barbera is often cited by papers focused on Hydrology and Watershed Management Studies (14 papers), Flood Risk Assessment and Management (13 papers) and Hydrology and Drought Analysis (10 papers). P. La Barbera collaborates with scholars based in Italy, Switzerland and Ireland. P. La Barbera's co-authors include Luca G. Lanza, R. Rosso, Ilaria Gnecco, Anna Palla, Christian Berretta, Annalisa Molini, Giorgio Roth, Baldassare Bacchi, Matteo Colli and Michele Greco and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Journal of Environmental Management.

In The Last Decade

P. La Barbera

43 papers receiving 1.3k citations

Peers

P. La Barbera

GPC

WST

ECOLO

Manika Gupta India

Yujiu Xiong China

Otto Corrêa Rotunno Filho Brazil

Haroon Stephen United States

Weihong Liao China

Č. Maksimović United Kingdom

Dengfeng Liu China

Jongho Kim South Korea

Younggu Her United States

Francisco Olivera United States

Manika Gupta India

P. La Barbera

849 ×1.0

812 ×1.3

GPC

542 ×1.0

WST

391 ×1.3

262 ×1.2

ECOLO

Citations per year, relative to P. La Barbera P. La Barbera (= 1×) peers Manika Gupta

Countries citing papers authored by P. La Barbera

Since Specialization

Citations

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

Fields of papers citing papers by P. La Barbera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. La Barbera. 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 P. La Barbera. The network helps show where P. La Barbera may publish in the future.

Co-authorship network of co-authors of P. La Barbera

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

All Works

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20 of 20 papers shown

Gnecco, Ilaria, Anna Palla, P. La Barbera, Giorgio Roth, & F. Giannoni. (2023). Defining intensity–duration–frequency curves at short durations: a methodological framework. Hydrological Sciences Journal. 68(11). 1499–1512. 9 indexed citations

Gnecco, Ilaria, Anna Palla, & P. La Barbera. (2018). A dimensionless approach for the runoff peak assessment: effects of the rainfall event structure. Hydrology and earth system sciences. 22(2). 943–956. 6 indexed citations

Palla, Anna, Ilaria Gnecco, & P. La Barbera. (2017). The impact of domestic rainwater harvesting systems in storm water runoff mitigation at the urban block scale. Journal of Environmental Management. 191. 297–305. 113 indexed citations

Landolt, Scott, Matteo Colli, P. La Barbera, Luca G. Lanza, & Roy Rasmussen. (2012). Using laboratory experiments to improve reliability in rainfall and solid precipitation weighing-gauge measurements. AGU Fall Meeting Abstracts. 2012. 1 indexed citations

Colli, Matteo, Luca G. Lanza, & P. La Barbera. (2012). An evaluation of the uncertainty of extreme events statistics at the WMO/CIMO Lead Centre on precipitation intensity. CINECA IRIS Institutial Research Information System (University of Genoa). 2012. 1 indexed citations

Palla, Anna, Ilaria Gnecco, Luca G. Lanza, & P. La Barbera. (2012). Performance analysis of domestic rainwater harvesting systems under various European climate zones. Resources Conservation and Recycling. 62. 71–80. 101 indexed citations

Palla, Anna, et al.. (2008). A green roof experimental site in the mediterranean climate.. CINECA IRIS Institutial Research Information System (University of Genoa). 18 indexed citations

Berretta, Christian, Ilaria Gnecco, Luca G. Lanza, & P. La Barbera. (2007). An investigation of wash-off controlling parameters at urban and commercial monitoring sites. Water Science & Technology. 56(12). 77–84. 7 indexed citations

Fiorucci, Paolo, P. La Barbera, Luca G. Lanza, & R. Minciardi. (2001). A geostatistical approach to multisensor rain field reconstruction and downscaling. Hydrology and earth system sciences. 5(2). 201–213. 16 indexed citations

10.

Barbera, P. La & Luca G. Lanza. (2001). On the cumulative area distribution of natural drainage basins along a coastal boundary. Water Resources Research. 37(5). 1503–1509. 3 indexed citations

11.

Molini, Annalisa, et al.. (2001). Rainfall intermittency and the sampling error of tipping-bucket rain gauges. Physics and Chemistry of the Earth Part C Solar Terrestrial & Planetary Science. 26(10-12). 737–742. 36 indexed citations

12.

Molini, Annalisa, P. La Barbera, & Luca G. Lanza. (2001). A Few Stochastic properties of rainfall intermittency in space and time. CINECA IRIS Institutial Research Information System (University of Genoa). 337–348. 1 indexed citations

13.

Barbera, P. La & Luca G. Lanza. (2000). Comment on “A physical explanation of the cumulative area distribution curve” by Hemantha Perera and Garry Willgoose. Water Resources Research. 36(3). 815–817. 1 indexed citations

14.

Ottonello, Luciano, P. La Barbera, Patrizia Dapino, C. Sacchetti, & Franco Dallegri. (1997). Chemoattractant-induced release of elastase by lipopolysaccharide (LPS)-primed neutrophils; inhibitory effect of the anti-inflammatory drug nimesulide. Clinical & Experimental Immunology. 110(1). 139–143. 13 indexed citations

15.

Barbera, P. La & Giorgio Roth. (1996). Comment on “Power Law Distribution of Discharge in Ideal Networks” by H. de Vries, T. Becker, and B. Eckhardt. Water Resources Research. 32(8). 2613–2614. 1 indexed citations

16.

Bolla, Raffaele, Giorgio Boni, P. La Barbera, et al.. (1996). The tracking and prediction of high intensity rainstorms. Remote Sensing Reviews. 14(1-3). 151–183. 4 indexed citations

17.

Barbera, P. La, et al.. (1995). Integrating Meteosat satellite and rain-gauge information to estimate rainfall patterns. Surveys in Geophysics. 16(2). 183–199. 4 indexed citations

18.

Barbera, P. La & Giorgio Roth. (1994). Invariance and scaling properties in the distributions of contributing area and energy in drainage basins. Hydrological Processes. 8(2). 125–135. 44 indexed citations

19.

Barbera, P. La. (1990). Reply to "Comment on 'On the fractal dimension of stream networks'". Water Resources Research. 26(9). 2245–2248. 5 indexed citations

20.

Brath, Armando, P. La Barbera, Marco Mancini, & R. Rosso. (1989). The Use of Distributed Rainfall-Runoff Models Based on GIS at Different Scales of Information. Hydraulic Engineering. 448–453. 3 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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