Francesco Holecz

727 total citations
18 papers, 346 citations indexed

About

Francesco Holecz is a scholar working on Ecology, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Francesco Holecz has authored 18 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, 8 papers in Aerospace Engineering and 7 papers in Environmental Engineering. Recurrent topics in Francesco Holecz's work include Remote Sensing in Agriculture (9 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (8 papers) and Remote Sensing and LiDAR Applications (5 papers). Francesco Holecz is often cited by papers focused on Remote Sensing in Agriculture (9 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (8 papers) and Remote Sensing and LiDAR Applications (5 papers). Francesco Holecz collaborates with scholars based in Italy, Philippines and Spain. Francesco Holecz's co-authors include Francesco Collivignarelli, Mirco Boschetti, Lorenzo Busetto, Manuel Campos‐Taberner, Francisco Javier Garcı́a-Haro, Luca Gatti, Massimo Barbieri, Dimitris Stavrakoudis, Dimitrios Katsantonis and Murali Krishna Gumma and has published in prestigious journals such as Remote Sensing, Agricultural Systems and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

In The Last Decade

Francesco Holecz

17 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Holecz Italy 11 208 133 107 101 63 18 346
Shenbin Yang China 10 124 0.6× 105 0.8× 117 1.1× 136 1.3× 74 1.2× 22 348
Filippo Sarvia Italy 12 188 0.9× 126 0.9× 74 0.7× 118 1.2× 55 0.9× 34 335
Bradley Doorn United States 6 149 0.7× 110 0.8× 53 0.5× 141 1.4× 79 1.3× 14 312
G. Reichert Canada 6 301 1.4× 193 1.5× 115 1.1× 125 1.2× 114 1.8× 6 498
Ehsan H. Chowdhury Canada 7 262 1.3× 136 1.0× 99 0.9× 238 2.4× 101 1.6× 7 442
Isabelle Piccard Belgium 8 308 1.5× 155 1.2× 119 1.1× 145 1.4× 96 1.5× 16 439
Sergio Ruggieri Italy 12 151 0.7× 181 1.4× 135 1.3× 58 0.6× 38 0.6× 34 344
Kim Knauer Germany 5 304 1.5× 110 0.8× 100 0.9× 204 2.0× 138 2.2× 9 445
Xuebo Yang China 12 201 1.0× 279 2.1× 179 1.7× 139 1.4× 62 1.0× 38 538
Iskander Benhadj France 9 260 1.3× 134 1.0× 78 0.7× 217 2.1× 94 1.5× 19 414

Countries citing papers authored by Francesco Holecz

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Holecz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Holecz

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

All Works

18 of 18 papers shown
1.
Holecz, Francesco, et al.. (2025). Inference of forest tree volume using synthetic aperture in central Sudan. Letters in Spatial and Resource Sciences. 18(1). 1 indexed citations
2.
Barbieri, Massimo, Emma Quicho, Ali Ibrahim, et al.. (2025). Rice area-yield estimation based on the synergistic use of remote sensing time-series and crop growth modeling in Nigeria. Smart Agricultural Technology. 11. 101024–101024. 1 indexed citations
3.
Gumma, Murali Krishna, et al.. (2020). Crop type identification and spatial mapping using Sentinel-2 satellite data with focus on field-level information. Geocarto International. 37(7). 1833–1849. 43 indexed citations
4.
Setiyono, Tri, Emma Quicho, Luca Gatti, et al.. (2018). Spatial Rice Yield Estimation Based on MODIS and Sentinel-1 SAR Data and ORYZA Crop Growth Model. Remote Sensing. 10(2). 293–293. 52 indexed citations
5.
Pagani, Valentina, Tommaso Guarneri, Lorenzo Busetto, et al.. (2018). A high-resolution, integrated system for rice yield forecasting at district level. Agricultural Systems. 168. 181–190. 41 indexed citations
6.
Campos‐Taberner, Manuel, Francisco Javier Garcı́a-Haro, Gustau Camps‐Valls, et al.. (2017). Exploitation of SAR and Optical Sentinel Data to Detect Rice Crop and Estimate Seasonal Dynamics of Leaf Area Index. Remote Sensing. 9(3). 248–248. 58 indexed citations
7.
Laborte, Alice G., Andrew Nelson, Francesco Holecz, et al.. (2015). Mapping rice areas in mindanao using the first images from Sentinel-1A: The PRISM project experience. University of Twente Research Information. 1–8. 2 indexed citations
8.
Boschetti, Mirco, Andrew Nelson, Francesco Nutini, et al.. (2015). Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to Rice Areas in Leyte, Philippines Affected by Typhoon Haiyan. Remote Sensing. 7(6). 6535–6557. 27 indexed citations
9.
Ismail, Riyad, et al.. (2015). Assessing the utility of ALOS PALSAR and SPOT 4 to predict timber volumes in even-agedEucalyptusplantations located in Zululand, South Africa. Southern Forests a Journal of Forest Science. 77(3). 203–211. 9 indexed citations
10.
Holecz, Francesco, Luca Gatti, Francesco Collivignarelli, & Massimo Barbieri. (2015). On the use of temporal-spectral descriptors for crop mapping, monitoring and crop practices characterization. 6. 161–164. 1 indexed citations
11.
Atwood, Donald K., et al.. (2014). Impact of Topographic Correction on Estimation of Aboveground Boreal Biomass Using Multi-temporal, L-Band Backscatter. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(8). 3262–3273. 18 indexed citations
12.
Holecz, Francesco, Paolo Pasquali, Nada Milisavljević, & Damien Closson. (2014). Land Applications of Radar Remote Sensing. InTech eBooks. 20 indexed citations
13.
Holecz, Francesco, Massimo Barbieri, Francesco Collivignarelli, et al.. (2013). An operational remote sensing based service for rice production estimation at national scale. University of Twente Research Information. 722. 120. 23 indexed citations
14.
15.
Cuadra, Meritxell Bach, et al.. (2007). Time-Varying Segmentation for Mapping of Land Cover Changes. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 12 indexed citations
16.
Steinmeier, Charlotte, et al.. (2003). Detection of Windthrow in Mountainous Regions with Different Remote Sensing Data and Classification Methods. Scandinavian Journal of Forest Research. 18(6). 525–536. 22 indexed citations
17.
Steinmeier, Charlotte, et al.. (2002). Evaluation moderner Fernerkundungsmethoden zur Sturmschadenerkennung im Wald. DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research).
18.
Small, David, et al.. (1997). Geometric and Radiometric Calibration of RADARSAT Images. 14 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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2026