Gianni Picchi

1.2k total citations
44 papers, 931 citations indexed

About

Gianni Picchi is a scholar working on Mechanics of Materials, Agronomy and Crop Science and Biomedical Engineering. According to data from OpenAlex, Gianni Picchi has authored 44 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Mechanics of Materials, 15 papers in Agronomy and Crop Science and 10 papers in Biomedical Engineering. Recurrent topics in Gianni Picchi's work include Forest Biomass Utilization and Management (31 papers), Bioenergy crop production and management (15 papers) and Remote Sensing and LiDAR Applications (6 papers). Gianni Picchi is often cited by papers focused on Forest Biomass Utilization and Management (31 papers), Bioenergy crop production and management (15 papers) and Remote Sensing and LiDAR Applications (6 papers). Gianni Picchi collaborates with scholars based in Italy, Austria and Spain. Gianni Picchi's co-authors include Raffaele Spinelli, Natascia Magagnotti, Carla Nati, Carolina Lombardini, Luigi Pari, Lorena Sozzi, Silvia Silvestri, Robert Keefe, Jakub Sandak and Anna Sandak and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Journal of Cleaner Production.

In The Last Decade

Gianni Picchi

41 papers receiving 872 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gianni Picchi Italy	19	568	286	260	230	160	44	931
Carla Nati Italy	20	775 1.4×	315 1.1×	471 1.8×	329 1.4×	161 1.0×	35	1.0k
Andrea Rosario Proto Italy	21	516 0.9×	256 0.9×	162 0.6×	351 1.5×	216 1.4×	95	1.4k
Raída Jirjis Sweden	18	668 1.2×	641 2.2×	408 1.6×	222 1.0×	151 0.9×	42	1.3k
Marco Manzone Italy	17	457 0.8×	294 1.0×	339 1.3×	111 0.5×	126 0.8×	59	833
Lauri Sikanen Finland	19	565 1.0×	191 0.7×	268 1.0×	340 1.5×	178 1.1×	56	867
Francesco Latterini Italy	19	460 0.8×	181 0.6×	159 0.6×	414 1.8×	157 1.0×	95	1.1k
Juha Nurmi Finland	18	572 1.0×	304 1.1×	396 1.5×	353 1.5×	108 0.7×	45	1.0k
Johanna Routa Finland	18	454 0.8×	138 0.5×	280 1.1×	396 1.7×	159 1.0×	56	783
Timothy McDonald United States	19	291 0.5×	220 0.8×	92 0.4×	168 0.7×	106 0.7×	92	1.1k
Vincenzo Civitarese Italy	13	335 0.6×	255 0.9×	226 0.9×	126 0.5×	68 0.4×	46	593

Countries citing papers authored by Gianni Picchi

Since Specialization

Citations

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

Fields of papers citing papers by Gianni Picchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianni Picchi

This figure shows the co-authorship network connecting the top 25 collaborators of Gianni Picchi. A scholar is included among the top collaborators of Gianni Picchi 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 Gianni Picchi. Gianni Picchi 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

Picchi, Gianni, et al.. (2025). Accuracy and time efficiency of a new app developed to source and map single tree data: A comparison to state-of-art LiDAR data collectors in terms of basal area estimates. Ecological Informatics. 91. 103417–103417.

Mederski, Piotr S., et al.. (2024). Impact of Forest Operations in Four Biogeographical Regions in Europe: Finding the Key Drivers for Future Development. Current Forestry Reports. 10(5). 337–359. 6 indexed citations

Keefe, Robert, et al.. (2022). Use of Individual Tree and Product Level Data to Improve Operational Forestry. Current Forestry Reports. 8(2). 148–165. 41 indexed citations

Sandak, Jakub, et al.. (2022). Timber Tracking in a Mountain Forest Supply Chain: A Case Study to Analyze Functionality, Bottlenecks, Risks, and Costs. Forests. 13(9). 1373–1373. 7 indexed citations

Sandak, Jakub, et al.. (2020). Development of Low-Cost Portable Spectrometers for Detection of Wood Defects. Sensors. 20(2). 545–545. 35 indexed citations

Sandak, Jakub, et al.. (2019). Development of a Sensorized Timber Processor Head Prototype – Part 1: Sensors Description and Hardware Integration. SHILAP Revista de lepidopterología. 8 indexed citations

Nati, Carla, et al.. (2017). Energy performance of a new biomass harvester for recovery of orchard wood wastes as alternative to mulching. Renewable Energy. 124. 121–128. 23 indexed citations

Picchi, Gianni, et al.. (2016). Unearthing the hidden resource: biomass from rootstock recovery. Biofuels Bioproducts and Biorefining. 10(3). 270–280. 4 indexed citations

Picchi, Gianni, et al.. (2015). Survival Test of RFID UHF Tags in Timber Harvesting Operations. SHILAP Revista de lepidopterología. 10 indexed citations

10.

Picchi, Gianni, et al.. (2015). Survival Test of RFID UHF Tags in Timber Harvesting Operations. Hrčak Portal of scientific journals of Croatia (University Computing Centre). 1 indexed citations

11.

Magagnotti, Natascia, Gianni Picchi, Gianfranco Sciarra, & Raffaele Spinelli. (2013). Exposure of Mobile Chipper Operators to Diesel Exhaust. The Annals of Occupational Hygiene. 58(2). 217–26. 21 indexed citations

12.

Magagnotti, Natascia, Luigi Pari, Gianni Picchi, & Raffaele Spinelli. (2012). Technology alternatives for tapping the pruning residue resource. Bioresource Technology. 128. 697–702. 53 indexed citations

13.

Spinelli, Raffaele, et al.. (2011). Performance of a mobile mechanical screen to improve the commercial quality of wood chips for energy. Bioresource Technology. 102(15). 7366–7370. 45 indexed citations

14.

Spinelli, Raffaele, Natascia Magagnotti, Gianni Picchi, Carolina Lombardini, & Carla Nati. (2011). Upsized Harvesting Technology for Coping with the New Trends in Short-Rotation Coppice. Applied Engineering in Agriculture. 27(4). 551–557. 47 indexed citations

15.

Spinelli, Raffaele, Carla Nati, Lorena Sozzi, Natascia Magagnotti, & Gianni Picchi. (2011). Physical characterization of commercial woodchips on the Italian energy market. Fuel. 90(6). 2198–2202. 79 indexed citations

16.

Picchi, Gianni, et al.. (2011). Analysis of the procurement system of Eucalyptus residues with bundling technology. 2 indexed citations

17.

Lombardini, Carolina, Natascia Magagnotti, Enrico Marchi, et al.. (2010). Relating safety, productivity and company type for motor-manual logging operations in the Italian Alps. Accident Analysis & Prevention. 42(6). 2013–2017. 62 indexed citations

18.

Spinelli, Raffaele, Natascia Magagnotti, & Gianni Picchi. (2009). Complete tree harvesting as an alternative to mulching in early thinnings.. Forest Products Journal. 59(6). 79–84. 11 indexed citations

19.

Spinelli, Raffaele & Gianni Picchi. (2009). Industrial harvesting of olive tree pruning residue for energy biomass. Bioresource Technology. 101(2). 730–735. 106 indexed citations

20.

Spinelli, Raffaele, Natascia Magagnotti, & Gianni Picchi. (2007). The Jordan RH 25 chipper at work on olive prunings.. Informatore Agrario. 63(41). 55–58. 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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