G. Prisco

682 total citations
30 papers, 497 citations indexed

About

G. Prisco is a scholar working on Biomedical Engineering, Ocean Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, G. Prisco has authored 30 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 13 papers in Ocean Engineering and 11 papers in Electrical and Electronic Engineering. Recurrent topics in G. Prisco's work include Geophysical Methods and Applications (13 papers), Microwave Imaging and Scattering Analysis (12 papers) and Indoor and Outdoor Localization Technologies (6 papers). G. Prisco is often cited by papers focused on Geophysical Methods and Applications (13 papers), Microwave Imaging and Scattering Analysis (12 papers) and Indoor and Outdoor Localization Technologies (6 papers). G. Prisco collaborates with scholars based in Italy, Iceland and United Kingdom. G. Prisco's co-authors include M. D’Urso, Francesco Soldovieri, Raffaele Solimene, Rocco Pierri, Nigel J. Cassidy, Lorenzo Crocco, Mario Cesarelli, Leandro Donisi, Amedeo Buonanno and Fabrizio Esposito and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Sensors and Measurement.

In The Last Decade

G. Prisco

25 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
G. Prisco Italy	11	258	219	202	165	49	30	497
Angela Dell’Aversano Italy	11	253 1.0×	210 1.0×	94 0.5×	80 0.5×	46 0.9×	26	360
Andrey Zhuravlev Russia	12	279 1.1×	228 1.0×	148 0.7×	176 1.1×	63 1.3×	84	516
Angie Sarkissian United States	13	325 1.3×	79 0.4×	245 1.2×	50 0.3×	78 1.6×	32	485
Marc A. Ressler United States	12	376 1.5×	328 1.5×	265 1.3×	130 0.8×	32 0.7×	37	547
Maria Antonia Maisto Italy	15	309 1.2×	161 0.7×	135 0.7×	207 1.3×	56 1.1×	70	484
Joseph A. Bucaro United States	12	158 0.6×	72 0.3×	65 0.3×	92 0.6×	56 1.1×	35	346
Matteo Pastorino Italy	10	442 1.7×	344 1.6×	65 0.3×	125 0.8×	162 3.3×	24	549
Nicholas O’Donoughue United States	11	160 0.6×	158 0.7×	146 0.7×	152 0.9×	112 2.3×	39	426
Nicolas Valdivia United States	13	408 1.6×	45 0.2×	240 1.2×	56 0.3×	170 3.5×	38	564
Mansor Nakhkash Iran	10	150 0.6×	274 1.3×	234 1.2×	196 1.2×	41 0.8×	23	641

Countries citing papers authored by G. Prisco

Since Specialization

Citations

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

Fields of papers citing papers by G. Prisco

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Prisco

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

Prisco, G., Mario Cesarelli, Fabrizio Esposito, et al.. (2025). Combining Postural Sway Parameters and Machine Learning to Assess Biomechanical Risk Associated with Load-Lifting Activities. Diagnostics. 15(1). 105–105.

Prisco, G., Maria Romano, Fabrizio Esposito, et al.. (2024). Capability of Machine Learning Algorithms to Classify Safe and Unsafe Postures during Weight Lifting Tasks Using Inertial Sensors. Diagnostics. 14(6). 576–576. 11 indexed citations

Prisco, G., Leandro Donisi, Francesco Mercaldo, et al.. (2024). Biomechanical Risk Evaluation Through Machine Learning Algorithms Fed with Features Extracted From sEMG of Neck Extensors. 171–176.

Prisco, G., Francesco Mercaldo, Antonella Santone, et al.. (2024). Postural Sway Parameters are Useful to Discriminate Biomechanical Risk Classes Associated with Load Lifting. 1–4.

Donisi, Leandro, G. Prisco, Fabrizio Esposito, et al.. (2023). sEMG Spectral Analysis and Machine Learning Algorithms Are Able to Discriminate Biomechanical Risk Classes Associated with Manual Material Liftings. Bioengineering. 10(9). 1103–1103. 11 indexed citations

Prisco, G., Maria Romano, Fabrizio Esposito, et al.. (2023). Feasibility of Tree-Based Machine Learning Models to Discriminate Safe and Unsafe Posture During Weight Lifting. 870–875. 5 indexed citations

Prisco, G., Klara Komici, Francesco Mercaldo, et al.. (2023). A Machine Learning approach to classify ventilatory efficiency. 646–651. 2 indexed citations

Buonanno, Amedeo, M. D’Urso, G. Prisco, et al.. (2013). A new measurement method for through-the-wall detection and tracking of moving targets. Measurement. 46(6). 1834–1848. 19 indexed citations

Buonanno, Amedeo, et al.. (2012). An improved radar system for inside-building awareness. 85–89. 1 indexed citations

10.

D’Urso, M., Tommaso Isernia, Andrea Francesco Morabito, & G. Prisco. (2011). Minimizing the number of sensors in the synthesis of shaped beam patterns. European Conference on Antennas and Propagation. 3040–3043. 2 indexed citations

11.

Prisco, G. & M. D’Urso. (2011). An effective approach for sparse arrays design with the minimum number of sensors. European Conference on Antennas and Propagation. 1277–1278. 1 indexed citations

12.

Brancaccio, Adriana, Raffaele Solimene, G. Prisco, Giovanni Leone, & Rocco Pierri. (2011). Intra-wall diagnostics via a microwave tomographic approach. Journal of Geophysics and Engineering. 8(3). S47–S53. 8 indexed citations

13.

Buonanno, Amedeo, et al.. (2011). Through-the-wall tracking of moving targets: Tests on experimantal data. 2. 846–849. 5 indexed citations

14.

D’Urso, M., Amedeo Buonanno, G. Prisco, & Alfonso Farina. (2010). Moving targets tracking for homeland protection applications: A multi-sensor approach. 1220–1223. 2 indexed citations

15.

D’Urso, M., et al.. (2009). Synthesis of Plane-Wave Generators via Nonredundant Sparse Arrays. IEEE Antennas and Wireless Propagation Letters. 8. 449–452. 25 indexed citations

16.

Solimene, Raffaele, Francesco Soldovieri, G. Prisco, & Rocco Pierri. (2009). Three-Dimensional Through-Wall Imaging Under Ambiguous Wall Parameters. IEEE Transactions on Geoscience and Remote Sensing. 47(5). 1310–1317. 88 indexed citations

17.

Solimene, Raffaele, G. Prisco, & Francesco Soldovieri. (2008). GPR based soil electromagnetic parameters determination for subsurface imaging. Advances in geosciences. 19. 39–44. 4 indexed citations

18.

Crocco, Lorenzo, G. Prisco, Francesco Soldovieri, & Nigel J. Cassidy. (2008). Early-stage leaking pipes GPR monitoring via microwave tomographic inversion. Journal of Applied Geophysics. 67(4). 270–277. 49 indexed citations

19.

Crocco, Lorenzo, G. Prisco, Francesco Soldovieri, & Nigel J. Cassidy. (2007). Advanced forward modeling and tomographic inversion for leaking water pipes monitoring. 14. 127–131. 10 indexed citations

20.

Soldovieri, Francesco, G. Prisco, & Raffaele Persico. (2007). Determination of soil permittivity from GPR data and a microwave tomography approach: a preliminary study. 96–100. 4 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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