F. Posa

9.2k total citations
67 papers, 932 citations indexed

About

F. Posa is a scholar working on Environmental Engineering, Aerospace Engineering and Nuclear and High Energy Physics. According to data from OpenAlex, F. Posa has authored 67 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Environmental Engineering, 20 papers in Aerospace Engineering and 19 papers in Nuclear and High Energy Physics. Recurrent topics in F. Posa's work include Soil Moisture and Remote Sensing (27 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (18 papers) and Particle Detector Development and Performance (13 papers). F. Posa is often cited by papers focused on Soil Moisture and Remote Sensing (27 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (18 papers) and Particle Detector Development and Performance (13 papers). F. Posa collaborates with scholars based in Italy, United States and Switzerland. F. Posa's co-authors include Claudia Notarnicola, Francesco Mattia, Thuy Le Toan, Giacomo De Carolis, Jean‐Claude Souyris, Nicolas Floury, G. Pasquariello, Giuseppe Satalino, Ghislain Picard and Andrea Gatti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

F. Posa

58 papers receiving 873 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. Posa Italy 13 549 350 325 181 121 67 932
Konstantin Khlopenkov United States 20 218 0.4× 547 1.6× 198 0.6× 114 0.6× 318 2.6× 60 1.2k
I. Reusen Belgium 16 123 0.2× 77 0.2× 99 0.3× 350 1.9× 224 1.9× 46 952
R. W. Newton United States 8 645 1.2× 580 1.7× 127 0.4× 9 0.0× 10 0.1× 13 796
G. R. Riegler United States 13 54 0.1× 79 0.2× 112 0.3× 134 0.7× 21 0.2× 42 491
Qifeng Lu China 19 110 0.2× 647 1.8× 121 0.4× 18 0.1× 60 0.5× 80 1.0k
R. R. Ghent United States 25 46 0.1× 569 1.6× 317 1.0× 10 0.1× 58 0.5× 113 2.0k
Adolfo Comerón Spain 22 174 0.3× 1.3k 3.6× 168 0.5× 16 0.1× 92 0.8× 141 2.0k
U. Klein Germany 17 137 0.2× 414 1.2× 169 0.5× 16 0.1× 153 1.3× 79 1.4k
R. Kennett United States 8 182 0.3× 206 0.6× 137 0.4× 37 0.2× 89 0.7× 24 584
Valérie Cayol France 20 32 0.1× 193 0.6× 271 0.8× 28 0.2× 11 0.1× 51 1.5k

Countries citing papers authored by F. Posa

Since Specialization
Citations

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

Fields of papers citing papers by F. Posa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of F. Posa. A scholar is included among the top collaborators of F. Posa 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. Posa. F. Posa 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.
Posa, F., et al.. (2022). What If…? Pandemic policy-decision-support to guide a cost-benefit-optimised, country-specific response. SHILAP Revista de lepidopterología. 2(8). e0000721–e0000721. 2 indexed citations
2.
3.
Notarnicola, Claudia, et al.. (2008). Soil moisture retrieval from remotely sensed data: Neural network approach versus Bayesian method. IEEE Transactions on Geoscience and Remote Sensing. 46(2). 547–557. 108 indexed citations
4.
Notarnicola, Claudia & F. Posa. (2004). Bayesian iterative inversion algorithm applied to soil moisture mapping using ground-based and airborne remote sensing data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5236. 116–116. 2 indexed citations
5.
Notarnicola, Claudia & F. Posa. (2004). Feasibility of soil moisture and roughness retrieval using microwave data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5574. 436–436. 1 indexed citations
6.
Notarnicola, Claudia, et al.. (2004). Soil moisture retrieval by means of real and simulated microwave data to test L-band active-passive and L-C-X-bands passive approaches. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5574. 447–447. 1 indexed citations
7.
Posa, F.. (2003). SAR Image Analysis, Modeling, and Techniques V.. 4883. 1 indexed citations
8.
Mattia, Francesco, Thuy Le Toan, Ghislain Picard, et al.. (2003). Multitemporal c-band radar measurements on wheat fields. IEEE Transactions on Geoscience and Remote Sensing. 41(7). 1551–1560. 177 indexed citations
9.
Notarnicola, Claudia & F. Posa. (2002). Bayesian fusion of active and passive microwave data for estimating bare soil water content. 3. 1167–1169. 9 indexed citations
10.
Pasquariello, G., Giuseppe Satalino, Francesco Mattia, et al.. (2002). On the retrieval of soil moisture from SAR data over bare soils. 3. 1272–1274. 6 indexed citations
11.
Casarano, D., Giacomo De Carolis, Francesco Mattia, et al.. (2001). SIR-C/X-SAR data calibration and ground truth campaign over the NASA-CB1 test-site. CNR SOLAR (Scientific Open-access Literature Archive and Repository) (University of Southampton). 24(1). 11–23. 1 indexed citations
12.
Casarano, D., Laura Dente, F. Posa, et al.. (2000). <title>Cassini radar: data analysis of the Earth flyby and simulation of Titan's flyby data</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4173. 29–42. 2 indexed citations
13.
Posa, F.. (1998). SAR Image Analysis, Modeling, and Techniques. 3497. 2 indexed citations
14.
Almeida, J., H. Berger, A. Braem, et al.. (1994). Development of large area fast-RICH prototypes with pad readout and solid photocathodes. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 348(2-3). 216–222. 2 indexed citations
15.
Braem, A., E. Nappi, A. Ljubičić, et al.. (1994). Fast RICH detector with a cesium iodide photocathode at atmospheric pressure. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 343(1). 163–172. 20 indexed citations
16.
Castellano, M., E. Nappi, F. Posa, & G. Tomasicchio. (1991). A multiresolution noise-removal algorithm for visual pattern recognition in imaging detectors. Computer Physics Communications. 66(2-3). 293–307. 3 indexed citations
17.
Calicchio, M., C. De Marzo, C. Favuzzi, et al.. (1987). A direct measurement of the energy spectrum of cosmic ray muons in the Mont Blanc underground laboratory. Physics Letters B. 193(1). 131–134. 9 indexed citations
18.
Marzo, C. De, et al.. (1986). MACRO, a large-area detector at the Gran Sasso Laboratory.. CERN Bulletin. 9. 281–292. 1 indexed citations
19.
Peaslee, D. C., C. DeMarzo, L. Guerriero, et al.. (1978). Measurement of neutral to charged pion ratio in annihilations in the 2200 MeV mass region. Physics Letters B. 73(3). 385–388. 1 indexed citations
20.
Peaslee, D. C., C. DeMarzo, L. Guerriero, et al.. (1975). Search for substructure in p total cross section in the 2200 MeV mass region. Physics Letters B. 57(2). 189–192. 8 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Konstantin Khlopenkov Breakdown of academic impact, for papers by I. Reusen Breakdown of academic impact, for papers by R. W. Newton Breakdown of academic impact, for papers by G. R. Riegler Breakdown of academic impact, for papers by Qifeng Lu Breakdown of academic impact, for papers by R. R. Ghent Breakdown of academic impact, for papers by Adolfo Comerón Breakdown of academic impact, for papers by U. Klein Breakdown of academic impact, for papers by R. Kennett Breakdown of academic impact, for papers by Valérie Cayol
Rankless by CCL
2026