Paolo Barsocchi

4.6k total citations · 1 hit paper
126 papers, 2.7k citations indexed

About

Paolo Barsocchi is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Paolo Barsocchi has authored 126 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Electrical and Electronic Engineering, 42 papers in Computer Networks and Communications and 36 papers in Computer Vision and Pattern Recognition. Recurrent topics in Paolo Barsocchi's work include Indoor and Outdoor Localization Technologies (47 papers), Context-Aware Activity Recognition Systems (29 papers) and Underwater Vehicles and Communication Systems (14 papers). Paolo Barsocchi is often cited by papers focused on Indoor and Outdoor Localization Technologies (47 papers), Context-Aware Activity Recognition Systems (29 papers) and Underwater Vehicles and Communication Systems (14 papers). Paolo Barsocchi collaborates with scholars based in Italy, India and Spain. Paolo Barsocchi's co-authors include Stefano Chessa, Akash Kumar Bhoi, Filippo Palumbo, Francesco Potortì, Michele Girolami, Antonino Crivello, Erina Ferro, Francesco Furfari, Alberto Gotta and Manlio Bacco and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and IEEE Access.

In The Last Decade

Paolo Barsocchi

122 papers receiving 2.5k citations

Hit Papers

align trajectories

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.

Statistical Analysis of Design Aspects of Various YOLO-Based Deep Learning Models for Object Detection

2023 108 citations Uddagiri Sirisha, S. Phani Praveen et al. International Journal of Computational Intelligence Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paolo Barsocchi Italy	31	1.1k	644	500	372	339	126	2.7k
Klaus D. McDonald-Maier United Kingdom	27	810 0.7×	771 1.2×	729 1.5×	465 1.3×	311 0.9×	233	3.0k
Mariette Awad Lebanon	20	1.0k 0.9×	503 0.8×	339 0.7×	702 1.9×	451 1.3×	107	3.1k
Inam Ullah China	33	905 0.8×	704 1.1×	424 0.8×	741 2.0×	349 1.0×	147	3.2k
Osamah Ibrahim Khalaf Iraq	38	974 0.9×	1.7k 2.7×	398 0.8×	873 2.3×	196 0.6×	151	4.4k
Stefano Chessa Italy	28	1.6k 1.4×	2.2k 3.4×	497 1.0×	366 1.0×	193 0.6×	175	3.6k
Abdellah Chehri Canada	27	1.2k 1.1×	724 1.1×	399 0.8×	490 1.3×	335 1.0×	243	3.0k
Rukhsana Ruby China	26	1.2k 1.0×	873 1.4×	217 0.4×	424 1.1×	385 1.1×	101	3.0k
Youseef Alotaibi Saudi Arabia	33	600 0.5×	1.2k 1.8×	230 0.5×	507 1.4×	148 0.4×	90	2.7k
Giovanni Pau Italy	32	1.7k 1.5×	1.3k 2.0×	479 1.0×	347 0.9×	387 1.1×	151	3.6k
Mohammad R. Khosravi Iran	34	872 0.8×	1.5k 2.3×	882 1.8×	1.1k 2.8×	263 0.8×	163	4.0k

Countries citing papers authored by Paolo Barsocchi

Since Specialization

Citations

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

Fields of papers citing papers by Paolo Barsocchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Barsocchi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Furfari, Francesco, et al.. (2024). Indoor localization algorithms based on Angle of Arrival with a benchmark comparison. Ad Hoc Networks. 166. 103691–103691. 2 indexed citations

Bacco, Manlio, Alexander Kocian, Antonino Crivello, et al.. (2024). Agricultural Data Space: the METRIQA Platform and a Case Study in the CODECS project. SHILAP Revista de lepidopterología. 39. 543–548.

Furfari, Francesco, Michele Girolami, & Paolo Barsocchi. (2024). Integrating Indoor Localization Systems Through a Handoff Protocol. SHILAP Revista de lepidopterología. 2. 130–142. 2 indexed citations

Sirisha, Uddagiri, S. Phani Praveen, Parvathaneni Naga Srinivasu, Paolo Barsocchi, & Akash Kumar Bhoi. (2023). Statistical Analysis of Design Aspects of Various YOLO-Based Deep Learning Models for Object Detection. International Journal of Computational Intelligence Systems. 16(1). 108 indexed citations breakdown →

Girolami, Michele, et al.. (2023). An Experimental Evaluation Based on Direction Finding Specification for Indoor Localization and Proximity Detection. SHILAP Revista de lepidopterología. 2. 36–50. 7 indexed citations

Girolami, Michele, et al.. (2023). A Bluetooth 5.1 Dataset Based on Angle of Arrival and RSS for Indoor Localization. IEEE Access. 11. 81763–81776. 23 indexed citations

Mishra, Sushruta, et al.. (2023). An Augmented Modulated Deep Learning Based Intelligent Predictive Model for Brain Tumor Detection Using GAN Ensemble. Sensors. 23(15). 6930–6930. 21 indexed citations

Anand, Vatsala, Sheifali Gupta, Deepika Koundal, et al.. (2022). Modified U-NET Architecture for Segmentation of Skin Lesion. Sensors. 22(3). 867–867. 112 indexed citations

Panigrahi, Ranjit, Samarjeet Borah, Moumita Pramanik, et al.. (2022). Intrusion detection in cyber–physical environment using hybrid Naïve Bayes—Decision table and multi-objective evolutionary feature selection. Computer Communications. 188. 133–144. 45 indexed citations

10.

Tripathy, Hrudaya Kumar, et al.. (2021). Amalgamation of Customer Relationship Management and Data Analytics in Different Business Sectors—A Systematic Literature Review. Sustainability. 13(9). 5279–5279. 24 indexed citations

11.

Mishra, Sushruta, et al.. (2021). A Pragmatic Investigation of Energy Consumption and Utilization Models in the Urban Sector Using Predictive Intelligence Approaches. Energies. 14(13). 3900–3900. 12 indexed citations

12.

Barsocchi, Paolo, et al.. (2020). Wireless Sensor Networks for Continuous Structural Health Monitoring of Historic Masonry Towers. International Journal of Architectural Heritage. 15(1). 22–44. 75 indexed citations

13.

Barsocchi, Paolo, et al.. (2019). E-Cabin: A Software Architecture for Passenger Comfort and Cruise Ship Management. Sensors. 19(22). 4978–4978. 9 indexed citations

14.

Mora, Niccolò, Paolo Barsocchi, Rui Hu, et al.. (2019). IoT-Based Home Monitoring: Supporting Practitioners’ Assessment by Behavioral Analysis. Sensors. 19(14). 3238–3238. 17 indexed citations

15.

Barsocchi, Paolo, Antonello Calabrò, Erina Ferro, et al.. (2018). Boosting a Low-Cost Smart Home Environment with Usage and Access Control Rules. Sensors. 18(6). 1886–1886. 23 indexed citations

16.

Baronti, Paolo, et al.. (2018). Indoor Bluetooth Low Energy Dataset for Localization, Tracking, Occupancy, and Social Interaction. Sensors. 18(12). 4462–4462. 57 indexed citations

17.

Potortì, Francesco, Sangjoon Park, Antonio R. Jiménez, et al.. (2017). Comparing the Performance of Indoor Localization Systems through the EvAAL Framework. Sensors. 17(10). 2327–2327. 64 indexed citations

18.

Barsocchi, Paolo, Antonino Crivello, Davide La Rosa, & Filippo Palumbo. (2016). A multisource and multivariate dataset for indoor localization methods based on WLAN and geo-magnetic field fingerprinting. ISTI Open Portal. 1–8. 51 indexed citations

19.

Barsocchi, Paolo, Amedeo Cesta, Gabriella Cortellessa, & Filippo Palumbo. (2015). Monitoring user position in the GiraffPlus AAL environment. ISTI Open Portal. 658–663. 3 indexed citations

20.

Gallicchio, Claudio, Alessio Micheli, Paolo Barsocchi, & Stefano Chessa. (2011). Reservoir Computing Forecasting of User Movements from RSS Mote-Class Sensors Measurement. UnipiEprints Open Archive (Università di Pisa). 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.

Explore authors with similar magnitude of impact