Luca Brocca

23.8k total citations · 4 hit papers
260 papers, 12.9k citations indexed

About

Luca Brocca is a scholar working on Environmental Engineering, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Luca Brocca has authored 260 papers receiving a total of 12.9k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Environmental Engineering, 154 papers in Atmospheric Science and 124 papers in Water Science and Technology. Recurrent topics in Luca Brocca's work include Soil Moisture and Remote Sensing (155 papers), Hydrology and Watershed Management Studies (122 papers) and Precipitation Measurement and Analysis (120 papers). Luca Brocca is often cited by papers focused on Soil Moisture and Remote Sensing (155 papers), Hydrology and Watershed Management Studies (122 papers) and Precipitation Measurement and Analysis (120 papers). Luca Brocca collaborates with scholars based in Italy, Austria and United States. Luca Brocca's co-authors include Tommaso Moramarco, F. Melone, Christian Massari, Wolfgang Wagner, Renato Morbidelli, Luca Ciabatta, Angelica Tarpanelli, Stefania Camici, Wouter Dorigo and Paolo Filippucci and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Luca Brocca

252 papers receiving 12.6k citations

Hit Papers

Global-scale evaluation of 22 precipitation datasets... 2011 2026 2016 2021 2017 2011 2014 2018 200 400 600
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.

  1. Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling
    2017 641 citations Albert I. J. M. van Dijk, Luca Brocca et al. Hydrology and earth system sciences profile →
  2. Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe
    2011 492 citations Luca Brocca, Wolfgang Wagner et al. Remote Sensing of Environment profile →
  3. Evaluation of the ESA CCI soil moisture product using ground-based observations
    2014 473 citations Wouter Dorigo, Alexander Gruber et al. Remote Sensing of Environment profile →
  4. Toward Global Soil Moisture Monitoring With Sentinel-1: Harnessing Assets and Overcoming Obstacles
    2018 303 citations Bernhard Bauer-Marschallinger, Vahid Freeman et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Brocca Italy 64 7.5k 7.2k 5.1k 4.8k 2.2k 260 12.9k
Wade T. Crow United States 60 8.6k 1.2× 7.8k 1.1× 3.8k 0.7× 3.3k 0.7× 2.1k 0.9× 261 11.8k
Wouter Dorigo Austria 59 8.7k 1.2× 8.4k 1.2× 6.8k 1.3× 2.8k 0.6× 1.9k 0.8× 202 15.1k
Richard de Jeu Netherlands 55 9.2k 1.2× 9.4k 1.3× 8.6k 1.7× 3.9k 0.8× 1.6k 0.7× 162 17.3k
Andrew W. Western Australia 50 5.6k 0.8× 3.1k 0.4× 5.4k 1.1× 7.1k 1.5× 2.4k 1.1× 224 12.3k
Adriaan J. Teuling Netherlands 49 4.2k 0.6× 5.7k 0.8× 9.8k 1.9× 4.1k 0.9× 1.2k 0.6× 190 13.8k
Michael H. Cosh United States 56 9.2k 1.2× 7.0k 1.0× 2.3k 0.5× 1.6k 0.3× 2.6k 1.2× 283 11.3k
Rolf H. Reichle United States 63 7.8k 1.0× 8.4k 1.2× 5.5k 1.1× 3.9k 0.8× 1.7k 0.8× 212 13.9k
Tommaso Moramarco Italy 45 4.3k 0.6× 3.3k 0.5× 3.3k 0.7× 3.7k 0.8× 1.8k 0.8× 181 7.8k
Zhongbo Su Netherlands 60 5.9k 0.8× 5.6k 0.8× 8.1k 1.6× 3.1k 0.6× 1.3k 0.6× 428 13.7k
V. Lakshmi United States 50 5.1k 0.7× 4.5k 0.6× 3.8k 0.7× 3.1k 0.6× 829 0.4× 254 9.0k

Countries citing papers authored by Luca Brocca

Since Specialization
Citations

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

Fields of papers citing papers by Luca Brocca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Brocca

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Brocca. A scholar is included among the top collaborators of Luca Brocca 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 Luca Brocca. Luca Brocca 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.
Milazzo, Filippo, Luca Brocca, & Tom Vanwalleghem. (2024). NDVI Prediction of Mediterranean Permanent Grasslands Using Soil Moisture Products. Agronomy. 14(8). 1798–1798. 1 indexed citations
2.
Bechtold, Michel, et al.. (2024). Irrigation Quantification Through Backscatter Data Assimilation With a Buddy Check Approach. Journal of Advances in Modeling Earth Systems. 16(3). 2 indexed citations
3.
Feng, Huihui, Zhiyong Wu, Jianzhi Dong, et al.. (2023). Transpiration – Soil evaporation partitioning determines inter-model differences in soil moisture and evapotranspiration coupling. Remote Sensing of Environment. 298. 113841–113841. 11 indexed citations
4.
Gao, Xiaodong, Yijian Zeng, Wei Hu, et al.. (2023). Disentangling the Impact of Event‐ and Annual‐Scale Precipitation Extremes on Critical‐Zone Hydrology in Semiarid Loess Vegetated by Apple Trees. Water Resources Research. 59(3). 13 indexed citations
5.
Tramblay, Yves, El Mahdi El Khalki, Luca Ciabatta, et al.. (2023). River runoff estimation with satellite rainfall in Morocco. Hydrological Sciences Journal. 68(3). 474–487. 11 indexed citations
6.
Filippucci, Paolo, Luca Brocca, Raphael Quast, et al.. (2022). High-resolution (1 km) satellite rainfall estimation from SM2RAIN applied to Sentinel-1: Po River basin as a case study. Hydrology and earth system sciences. 26(9). 2481–2497. 17 indexed citations
7.
Camici, Stefania, Luca Brocca, Christian Massari, et al.. (2021). Synergy between satellite observations of soil moisture and water storage anomalies for global runoff estimation. 2 indexed citations
8.
Ciabatta, Luca, et al.. (2021). The Impact of Probability Density Functions Assessment on Model Performance for Slope Stability Analysis. Geosciences. 11(8). 322–322. 6 indexed citations
9.
Filippucci, Paolo, Luca Brocca, Raphael Quast, et al.. (2021). High resolution (1 km) satellite rainfall estimation from SM2RAIN applied to Sentinel-1: Po River Basin as case study. 4 indexed citations
10.
Biondi, Daniela, Wade T. Crow, Stefania Camici, et al.. (2021). Assimilation of Satellite Soil Moisture Products for River Flow Prediction: An Extensive Experiment in Over 700 Catchments Throughout Europe. Water Resources Research. 57(6). 30 indexed citations
11.
Modanesi, Sara, Christian Massari, Stefania Camici, Luca Brocca, & Giriraj Amarnath. (2020). Do Satellite Surface Soil Moisture Observations Better Retain Information About Crop‐Yield Variability in Drought Conditions?. Water Resources Research. 56(2). 23 indexed citations
12.
Tarpanelli, Angelica, et al.. (2020). River Flow Monitoring by Sentinel-3 OLCI and MODIS: Comparison and Combination. Remote Sensing. 12(23). 3867–3867. 30 indexed citations
13.
Brocca, Luca, Paolo Filippucci, Sebastian Hahn, et al.. (2019). SM2RAIN-ASCAT (2007–2018): global daily satellite rainfallfrom ASCAT soil moisture. INFM-OAR (INFN Catania). 16 indexed citations
14.
Ramsankaran, RAAJ, et al.. (2019). A Machine Learning Approach for Improving Near-Real-Time Satellite-Based Rainfall Estimates by Integrating Soil Moisture. Remote Sensing. 11(19). 2221–2221. 33 indexed citations
15.
Forootan, Ehsan, Mehdi Khaki, Maike Schumacher, et al.. (2018). Understanding the global hydrological droughts of 2003–2016 and their relationships with teleconnections. The Science of The Total Environment. 650(Pt 2). 2587–2604. 170 indexed citations
16.
Bauer-Marschallinger, Bernhard, Vahid Freeman, Senmao Cao, et al.. (2018). Toward Global Soil Moisture Monitoring With Sentinel-1: Harnessing Assets and Overcoming Obstacles. IEEE Transactions on Geoscience and Remote Sensing. 57(1). 520–539. 303 indexed citations breakdown →
17.
Brocca, Luca, Angelica Tarpanelli, Paolo Filippucci, et al.. (2018). How much water is used for irrigation? A new approach exploiting coarse resolution satellite soil moisture products. International Journal of Applied Earth Observation and Geoinformation. 73. 752–766. 163 indexed citations
18.
Tarpanelli, Angelica, E. Santi, Mohammad J. Tourian, et al.. (2018). Daily River Discharge Estimates by Merging Satellite Optical Sensors and Radar Altimetry Through Artificial Neural Network. IEEE Transactions on Geoscience and Remote Sensing. 57(1). 329–341. 56 indexed citations
19.
Abera, Wuletawu, Giuseppe Formetta, Luca Brocca, & Riccardo Rigon. (2017). Modeling the water budget of the Upper Blue Nile basin using the JGrass-NewAge model system and satellite data. Hydrology and earth system sciences. 21(6). 3145–3165. 59 indexed citations
20.
Brocca, Luca, Thierry Pellarin, Wade T. Crow, et al.. (2016). Rainfall estimation by inverting SMOS soil moisture estimates: A comparison of different methods over Australia. Journal of Geophysical Research Atmospheres. 121(20). 66 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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