Giovanni Pau

5.6k total citations · 3 hit papers
151 papers, 3.6k citations indexed

About

Giovanni Pau is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Giovanni Pau has authored 151 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Computer Networks and Communications, 68 papers in Electrical and Electronic Engineering and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Giovanni Pau's work include Energy Efficient Wireless Sensor Networks (25 papers), IoT and Edge/Fog Computing (21 papers) and IoT-based Smart Home Systems (16 papers). Giovanni Pau is often cited by papers focused on Energy Efficient Wireless Sensor Networks (25 papers), IoT and Edge/Fog Computing (21 papers) and IoT-based Smart Home Systems (16 papers). Giovanni Pau collaborates with scholars based in Italy, India and Saudi Arabia. Giovanni Pau's co-authors include Mario Collotta, Fabio Arena, Alessandro Severino, Ilsun You, A. Rajesh, Lucia Lo Bello, Ramraj Dangi, Praveen Lalwani, Gaurav Choudhary and Tiziana Campisi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Industrial Electronics.

In The Last Decade

Giovanni Pau

145 papers receiving 3.5k citations

Hit Papers

Study and Investigation o... 2021 2026 2022 2024 2021 2022 2024 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Giovanni Pau 1.7k 1.3k 479 478 393 151 3.6k
Leandro A. Villas 1.7k 1.0× 1.8k 1.4× 318 0.7× 508 1.1× 713 1.8× 242 3.4k
Mohammad Hossein Anisi 1.5k 0.9× 1.6k 1.2× 405 0.8× 208 0.4× 181 0.5× 117 3.2k
Kui Wu 1.5k 0.9× 2.5k 1.9× 532 1.1× 284 0.6× 229 0.6× 212 4.1k
Minglu Li 1.6k 0.9× 1.3k 1.0× 586 1.2× 206 0.4× 383 1.0× 198 4.0k
Qi Hao 1.4k 0.9× 1.4k 1.1× 1.5k 3.2× 555 1.2× 399 1.0× 216 6.0k
Ammar Hawbani 1.2k 0.7× 1.6k 1.3× 510 1.1× 178 0.4× 162 0.4× 196 3.4k
Pietro Manzoni 3.2k 1.9× 3.8k 2.9× 626 1.3× 578 1.2× 503 1.3× 347 6.4k
Syed Hassan Ahmed 2.3k 1.4× 3.8k 2.9× 584 1.2× 357 0.7× 233 0.6× 209 5.8k
Kevin I‐Kai Wang 1.1k 0.7× 1.3k 1.0× 968 2.0× 327 0.7× 312 0.8× 168 5.4k

Countries citing papers authored by Giovanni Pau

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Pau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Pau

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Pau. A scholar is included among the top collaborators of Giovanni Pau 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 Giovanni Pau. Giovanni Pau 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.
Kong, Xiangjie, et al.. (2024). Traffic trajectory generation via conditional Generative Adversarial Networks for transportation Metaverse. Applied Soft Computing. 160. 111690–111690. 3 indexed citations
2.
Jadav, Nilesh Kumar, Sudeep Tanwar, Giovanni Pau, et al.. (2024). GreenLand: A Secure Land Registration Scheme for Blockchain and AI-Enabled Agriculture Industry 5.0. IEEE Access. 12. 120994–121009. 2 indexed citations
3.
Pau, Giovanni, et al.. (2024). Toward 6G: An Overview of the Next Generation of Intelligent Network Connectivity. IEEE Access. 13. 925–961. 22 indexed citations
4.
Ullah, Farhan, Irfan Ullah, Rehan Ullah Khan, et al.. (2024). Conventional to Deep Ensemble Methods for Hyperspectral Image Classification: A Comprehensive Survey. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 3878–3916. 54 indexed citations breakdown →
5.
Chinthaginjala, Ravikumar, et al.. (2024). Deep Learning Approach for Efficient 5G LDPC Decoding in IoT. IEEE Access. 12. 145671–145685. 9 indexed citations
6.
Chinthaginjala, Ravikumar, et al.. (2024). CNN-Based Approach for Enhancing 5G LDPC Code Decoding Performance. IEEE Access. 12. 89873–89886. 14 indexed citations
7.
Ravikumar, C. V., et al.. (2023). Low Complexity Signal Detection for Massive MIMO in B5G Uplink System. IEEE Access. 11. 91051–91059. 14 indexed citations
8.
Pau, Giovanni, et al.. (2023). Research on Hierarchical Control Strategy of ESS in Distribution Based on GA-SVR Wind Power Forecasting. Energies. 16(4). 2079–2079. 12 indexed citations
9.
Wahab, Mohd Nadhir Ab, et al.. (2023). Underwater Wireless Sensor Networks Performance Comparison Utilizing Telnet and Superframe. Sensors. 23(10). 4844–4844. 20 indexed citations
10.
Rajesh, A., et al.. (2022). Investigation and Numerical Simulation of the Acoustic Target Strength of the Underwater Submarine Vehicle. Inventions. 7(4). 111–111. 23 indexed citations
11.
Arena, Fabio, Giovanni Pau, Anca Ralescu, Alessandro Severino, & Ilsun You. (2022). An Innovative Framework for Dynamic Traffic Lights Management Based on the Combined Use of Fuzzy Logic and Several Network Architectures. Journal of Advanced Transportation. 2022. 1–17. 7 indexed citations
12.
Srinivasulu, Asadi, et al.. (2022). COVID-19 Data Analytics Using Extended Convolutional Technique. Interdisciplinary Perspectives on Infectious Diseases. 2022. 1–10. 1 indexed citations
13.
Yang, Chao‐Tung, et al.. (2020). NetFlow Monitoring and Cyberattack Detection Using Deep Learning With Ceph. IEEE Access. 8. 7842–7850. 19 indexed citations
14.
Trubia, Salvatore, et al.. (2020). Smart Roads: An Overview of What Future Mobility Will Look Like. Infrastructures. 5(12). 107–107. 47 indexed citations
15.
Trubia, Salvatore, et al.. (2020). On BRT Spread around the World: Analysis of Some Particular Cities. Infrastructures. 5(10). 88–88. 25 indexed citations
16.
Huang, Haiyu, Kejie Lu, Giovanni Pau, Yong Ren, & Pai‐Yen Chen. (2018). Advanced Wireless Communications and Mobile Computing Technologies for the Internet of Things. Wireless Communications and Mobile Computing. 2018(1). 1 indexed citations
17.
Lin, Fuhong, Yutong Zhou, Giovanni Pau, & Mario Collotta. (2018). Optimization-Oriented Resource Allocation Management for Vehicular Fog Computing. IEEE Access. 6. 69294–69303. 33 indexed citations
18.
Collotta, Mario, Giovanni Pau, & Daniel G. Costa. (2018). A fuzzy-based approach for energy-efficient Wi-Fi communications in dense wireless multimedia sensor networks. Computer Networks. 134. 127–139. 15 indexed citations
19.
Pau, Giovanni. (2016). Power Consumption Reduction for Wireless Sensor Networks Using A Fuzzy Approach. SHILAP Revista de lepidopterología. 14 indexed citations
20.
Collotta, Mario, et al.. (2014). A Dynamic Fuzzy Controller to Meet Thermal Comfort by Using Neural Network Forecasted Parameters as the Input. Energies. 7(8). 4727–4756. 50 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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