Vito Telesca

538 total citations
36 papers, 398 citations indexed

About

Vito Telesca is a scholar working on Environmental Engineering, Global and Planetary Change and Civil and Structural Engineering. According to data from OpenAlex, Vito Telesca has authored 36 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Environmental Engineering, 11 papers in Global and Planetary Change and 7 papers in Civil and Structural Engineering. Recurrent topics in Vito Telesca's work include Flow Measurement and Analysis (6 papers), Climate Change and Health Impacts (6 papers) and Air Quality and Health Impacts (5 papers). Vito Telesca is often cited by papers focused on Flow Measurement and Analysis (6 papers), Climate Change and Health Impacts (6 papers) and Air Quality and Health Impacts (5 papers). Vito Telesca collaborates with scholars based in Italy, Democratic Republic of the Congo and Spain. Vito Telesca's co-authors include Maria Ragosta, V. Caselles, Juan Manuel Sánchez, Enric Valor, Marco Mancini, A. Lay-Ekuakille, Alessandro Ceppi, Chiara Corbari, Raffaele Salerno and Upmanu Lall and has published in prestigious journals such as Scientific Reports, Journal of Hydrology and Sensors.

In The Last Decade

Vito Telesca

33 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vito Telesca Italy 12 172 133 68 67 56 36 398
Guangzhi Rong China 13 193 1.1× 43 0.3× 71 1.0× 51 0.8× 75 1.3× 26 475
Yaping Xu United States 12 168 1.0× 125 0.9× 103 1.5× 54 0.8× 88 1.6× 27 431
Aleksandar Sekulić Serbia 6 104 0.6× 125 0.9× 32 0.5× 44 0.7× 79 1.4× 7 337
Ali Aydda Morocco 10 162 0.9× 100 0.8× 33 0.5× 44 0.7× 48 0.9× 23 290
Zhiqi Yang China 11 382 2.2× 166 1.2× 129 1.9× 85 1.3× 83 1.5× 28 597
Yazhen Jiang China 16 306 1.8× 255 1.9× 115 1.7× 92 1.4× 173 3.1× 47 549
Babak Ranjgar Iran 10 160 0.9× 119 0.9× 59 0.9× 65 1.0× 53 0.9× 19 389
Fearghal O’Donncha Ireland 12 157 0.9× 134 1.0× 85 1.3× 114 1.7× 123 2.2× 33 547
Anoop Kumar Shukla India 14 280 1.6× 159 1.2× 86 1.3× 198 3.0× 89 1.6× 56 563
Guojun Jiang China 13 79 0.5× 59 0.4× 56 0.8× 18 0.3× 38 0.7× 47 456

Countries citing papers authored by Vito Telesca

Since Specialization
Citations

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

Fields of papers citing papers by Vito Telesca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vito Telesca

This figure shows the co-authorship network connecting the top 25 collaborators of Vito Telesca. A scholar is included among the top collaborators of Vito Telesca 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 Vito Telesca. Vito Telesca 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.
Grimaldi, Salvatore, et al.. (2024). Random Forest and Feature Importance Measures for Discriminating the Most Influential Environmental Factors in Predicting Cardiovascular and Respiratory Diseases. International Journal of Environmental Research and Public Health. 21(7). 867–867. 15 indexed citations
2.
Jiang, Qin, et al.. (2023). A stacked ensemble learning and non‐homogeneous hidden Markov model for daily precipitation downscaling and projection. Hydrological Processes. 37(9). 2 indexed citations
3.
Maglietta, Rosalia, Carmelo Fanizza, Vito Telesca, et al.. (2023). Environmental variables and machine learning models to predict cetacean abundance in the Central-eastern Mediterranean Sea. Scientific Reports. 13(1). 2600–2600. 21 indexed citations
4.
Telesca, Vito, et al.. (2023). Analyzing the Interactions between Environmental Parameters and Cardiovascular Diseases Using Random Forest and SHAP Algorithms. Reviews in Cardiovascular Medicine. 24(11). 330–330. 8 indexed citations
5.
Lay-Ekuakille, A., Vito Telesca, Paolo Visconti, & Nicola Ivan Giannoccaro. (2021). Accurate Spectral Estimation Technique Based on Decimated Linear Predictor for Leak Detection in Waterworks. Sensors. 21(6). 2185–2185. 1 indexed citations
6.
Lay-Ekuakille, A., et al.. (2021). Detection of river flow slow-down through sensing system and quasi-real time imaging. Flow Measurement and Instrumentation. 81. 102042–102042. 2 indexed citations
8.
Lay-Ekuakille, A. & Vito Telesca. (2020). Flow distribution imaging and sensing for leaks in pipelines using decimated signal diagonalization. Measurement Sensors. 7-9. 100014–100014. 3 indexed citations
9.
Lay-Ekuakille, A., et al.. (2019). A Sensing and Monitoring System for Hydrodynamic Flow Based on Imaging and Ultrasound. Sensors. 19(6). 1347–1347. 9 indexed citations
11.
Telesca, Vito, et al.. (2018). Effects on Public Health of Heat Waves to Improve the Urban Quality of Life. Sustainability. 10(4). 1082–1082. 7 indexed citations
12.
Coluzzi, Rosa, Mariagrazia D’Emilio, Vito Imbrenda, et al.. (2018). Investigating climate variability and long-term vegetation activity across heterogeneous Basilicata agroecosystems. Geomatics Natural Hazards and Risk. 10(1). 168–180. 26 indexed citations
13.
Corbari, Chiara, Raffaele Salerno, Alessandro Ceppi, Vito Telesca, & Marco Mancini. (2018). Smart irrigation forecast using satellite LANDSAT data and meteo-hydrological modeling. Agricultural Water Management. 212. 283–294. 51 indexed citations
14.
Lay-Ekuakille, A., et al.. (2017). Supervised and Characterized Smart Monitoring Network for Sensing Environmental Quantities. IEEE Sensors Journal. 17(23). 7812–7819. 12 indexed citations
15.
Ragosta, Maria, et al.. (2017). Application of a multivariate statistical index on series of weather measurements at local scale. Measurement. 112. 61–66. 17 indexed citations
16.
Telesca, Vito, et al.. (2016). MONITORING OF EXTREME TEMPERATURES TO EVALUATE THE INTERACTION BETWEEN CLIMATE CHANGEAND HUMAN HEALTH IN COASTAL AREAS. 36–39. 1 indexed citations
17.
Lapenna, V., et al.. (2004). 4D Geoelectrical Tomography for Hydrogeological Applications: Lab-scale and Field Experiments in Southern Apennine Chain (Italy).. CINECA IRIS Institutional Research Information System (University of Basilicata). 2004.
18.
Rizzo, Enzo, et al.. (2000). <title>New prototype for 4D self-potential tomography in near-surface geophysical exploration</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4129. 447–456. 1 indexed citations
19.
Molino, Bruno, et al.. (1998). Spatial and temporal evolution of water quality in reservoirs. Physics and Chemistry of the Earth. 23(4). 475–478. 2 indexed citations
20.
Telesca, Vito, et al.. (1997). The Influence of Fluvial Morphology on Minimum Instream Flow. CINECA IRIS Institutional Research Information System (University of Basilicata). 1003–1007. 2 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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