F. Todisco

1.3k total citations
49 papers, 934 citations indexed

About

F. Todisco is a scholar working on Soil Science, Ecology and Water Science and Technology. According to data from OpenAlex, F. Todisco has authored 49 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Soil Science, 21 papers in Ecology and 18 papers in Water Science and Technology. Recurrent topics in F. Todisco's work include Soil erosion and sediment transport (28 papers), Hydrology and Sediment Transport Processes (20 papers) and Hydrology and Watershed Management Studies (16 papers). F. Todisco is often cited by papers focused on Soil erosion and sediment transport (28 papers), Hydrology and Sediment Transport Processes (20 papers) and Hydrology and Watershed Management Studies (16 papers). F. Todisco collaborates with scholars based in Italy, Austria and Australia. F. Todisco's co-authors include Lorenzo Vergni, F. Mannocchi, Alessandra Vinci, Bruno Di Lena, Vincenzo Bagarello, Vito Ferro, Fabio Radicioni, Raffaella Brigante, Vincenzo Pampalone and Giuseppe Giordano and has published in prestigious journals such as Journal of Hydrology, Agricultural and Forest Meteorology and Hydrological Processes.

In The Last Decade

F. Todisco

45 papers receiving 909 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Todisco Italy 19 464 403 335 317 133 49 934
Lorenzo Vergni Italy 18 288 0.6× 440 1.1× 198 0.6× 253 0.8× 82 0.6× 45 785
Hiroshi Yasuda Japan 16 318 0.7× 407 1.0× 161 0.5× 363 1.1× 254 1.9× 42 934
F. Mannocchi Italy 14 315 0.7× 240 0.6× 197 0.6× 183 0.6× 75 0.6× 29 565
Yaohua Zhang China 12 343 0.7× 179 0.4× 168 0.5× 143 0.5× 76 0.6× 19 678
Subashisa Dutta India 20 283 0.6× 560 1.4× 564 1.7× 452 1.4× 195 1.5× 77 1.2k
Marcella Biddoccu Italy 16 513 1.1× 233 0.6× 261 0.8× 124 0.4× 115 0.9× 39 857
Liang‐Jun Zhu China 11 219 0.5× 150 0.4× 157 0.5× 142 0.4× 83 0.6× 23 574
Berhan Gessesse Ethiopia 14 245 0.5× 483 1.2× 164 0.5× 284 0.9× 238 1.8× 26 863
Hsieh Wen Shen United States 16 431 0.9× 398 1.0× 654 2.0× 336 1.1× 75 0.6× 35 1.1k
L. Villagarcı́a Spain 23 313 0.7× 1.0k 2.6× 180 0.5× 267 0.8× 315 2.4× 37 1.3k

Countries citing papers authored by F. Todisco

Since Specialization
Citations

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

Fields of papers citing papers by F. Todisco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Todisco

This figure shows the co-authorship network connecting the top 25 collaborators of F. Todisco. A scholar is included among the top collaborators of F. Todisco 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 F. Todisco. F. Todisco 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.
Vergni, Lorenzo & F. Todisco. (2025). Bivariate analysis of rainfall characteristics for identifying soil loss return periods at the event scale. Journal of Hydrology. 664. 134605–134605.
2.
Todisco, F., et al.. (2025). Spatial Distribution, Temporal Behaviour, and Trends of Rainfall Erosivity in Central Italy Using Coarse Data. Water. 17(6). 801–801. 2 indexed citations
3.
Vergni, Lorenzo & F. Todisco. (2023). A Random Forest Machine Learning Approach for the Identification and Quantification of Erosive Events. Water. 15(12). 2225–2225. 18 indexed citations
4.
Vergni, Lorenzo, Andrea Parisi, & F. Todisco. (2022). Evaluation of the GPM IMERG half-hourly final precipitation product in the quantification of rainfall erosivity in central Italy. 282–286. 1 indexed citations
5.
Stefano, Costanza Di, Vincenzo Pampalone, F. Todisco, Lorenzo Vergni, & Vito Ferro. (2019). Testing the Universal Soil Loss Equation‐MB equation in plots in Central and South Italy. Hydrological Processes. 33(18). 2422–2433. 12 indexed citations
6.
Todisco, F., Lorenzo Vergni, Alessandra Vinci, & Vincenzo Pampalone. (2019). Practical thresholds to distinguish erosive and rill rainfall events. Journal of Hydrology. 579. 124173–124173. 23 indexed citations
7.
Bagarello, Vincenzo, Vito Ferro, Giuseppe Giordano, et al.. (2018). Statistical check of USLE‐M and USLE‐MM to predict bare plot soil loss in two Italian environments. Land Degradation and Development. 29(8). 2614–2628. 17 indexed citations
8.
Vinci, Alessandra, F. Todisco, & F. Mannocchi. (2016). Calibration of manual measurements of rills using Terrestrial Laser Scanning. CATENA. 140. 164–168. 17 indexed citations
9.
Todisco, F., et al.. (2015). Use of satellite and modeled soil moisture data for predicting event soil loss at plot scale. Hydrology and earth system sciences. 19(9). 3845–3856. 19 indexed citations
10.
Vergni, Lorenzo, Bruno Di Lena, F. Todisco, & F. Mannocchi. (2015). Uncertainty in drought monitoring by the Standardized Precipitation Index: the case study of the Abruzzo region (central Italy). Theoretical and Applied Climatology. 128(1-2). 13–26. 32 indexed citations
11.
Vergni, Lorenzo, F. Todisco, Bruno Di Lena, & F. Mannocchi. (2015). Effect of the North Atlantic Oscillation on winter daily rainfall and runoff in the Abruzzo region (Central Italy). Stochastic Environmental Research and Risk Assessment. 30(7). 1901–1915. 9 indexed citations
12.
Bagarello, Vincenzo, Vito Ferro, Giuseppe Giordano, et al.. (2014). Response to ‘comment on “predicting event soil loss from bare plots at two Italian sites”’. CATENA. 120. 177–179. 2 indexed citations
13.
Bagarello, Vincenzo, Vito Ferro, Giuseppe Giordano, et al.. (2013). Predicting event soil loss from bare plots at two Italian sites. CATENA. 109. 96–102. 33 indexed citations
14.
Todisco, F., et al.. (2011). Calibration of the soil loss measurement method at the Masse experimental station. CATENA. 91. 4–9. 28 indexed citations
15.
Bagarello, Vincenzo, Vito Ferro, Giuseppe Giordano, et al.. (2010). Effect of plot size on measured soil loss for two Italian experimental sites. Biosystems Engineering. 108(1). 18–27. 32 indexed citations
16.
Todisco, F., F. Mannocchi, Lorenzo Vergni, & Alessandra Vinci. (2009). Plot scale measurements of rainfall erosion losses in central Italy.. IAHS-AISH publication. 327. 324–330. 5 indexed citations
17.
Todisco, F., Lorenzo Vergni, & F. Mannocchi. (2009). Operative Approach to Agricultural Drought Risk Management. Journal of Irrigation and Drainage Engineering. 135(5). 654–664. 5 indexed citations
18.
Todisco, F., Lorenzo Vergni, & Alessandra Vinci. (2007). Changes in water resources availability for crop systems: a case study in the region of Umbria. IAHS-AISH publication. 315. 9–17. 1 indexed citations
19.
Todisco, F. & Lorenzo Vergni. (2007). Climatic changes in Central Italy and their potential effects on corn water consumption. Agricultural and Forest Meteorology. 148(1). 1–11. 49 indexed citations
20.
Mannocchi, F., F. Todisco, & Stefano Casadei. (2001). An integrated model for water resources management at basin level. IAHS-AISH publication. 268. 215–222.

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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