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, Praveen Lalwani, Ramraj Dangi, 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 on 5G Technology: A Systematic Re... 2021 2026 2022 2024 2021 2022 2024 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giovanni Pau Italy 32 1.7k 1.3k 479 478 393 151 3.6k
Leandro A. Villas Brazil 29 1.7k 1.0× 1.8k 1.4× 318 0.7× 508 1.1× 713 1.8× 242 3.4k
Mohammad Hossein Anisi Malaysia 33 1.5k 0.9× 1.6k 1.2× 405 0.8× 208 0.4× 181 0.5× 117 3.2k
Kui Wu Canada 33 1.5k 0.9× 2.5k 1.9× 532 1.1× 284 0.6× 229 0.6× 212 4.1k
Minglu Li China 36 1.6k 0.9× 1.3k 1.0× 586 1.2× 206 0.4× 383 1.0× 198 4.0k
Qi Hao China 38 1.4k 0.9× 1.4k 1.1× 1.5k 3.2× 555 1.2× 399 1.0× 216 6.0k
Ammar Hawbani China 34 1.2k 0.7× 1.6k 1.3× 510 1.1× 178 0.4× 162 0.4× 196 3.4k
Syed Hassan Ahmed United States 43 2.3k 1.4× 3.8k 2.9× 584 1.2× 357 0.7× 233 0.6× 209 5.8k
Pietro Manzoni Spain 41 3.2k 1.9× 3.8k 2.9× 626 1.3× 578 1.2× 503 1.3× 347 6.4k
Kevin I‐Kai Wang New Zealand 33 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.
Rajesh, A., et al.. (2024). Study of Complementary Loop Integrated Metasurface for 6G THz Communication. IEEE Access. 12. 29900–29909. 1 indexed citations
2.
Gupta, Rajesh, Nilesh Kumar Jadav, Sudeep Tanwar, et al.. (2024). Blockchain-Orchestrated Intelligent Water Treatment Plant Profiling Framework to Enhance Human Life Expectancy. IEEE Access. 12. 49151–49166. 3 indexed citations
3.
Rajesh, A., et al.. (2024). Enhancing visual clarity in rainy conditions based on single-frame filtering algorithm. Ain Shams Engineering Journal. 15(8). 102846–102846. 1 indexed citations
4.
Ullah, Rahat, Sibghat Ullah, Shuaidong Chen, et al.. (2024). 1.12Tbps-16QAM Uncompensated Long-Haul Transmission Employing a New Self-Oscillating Optical Frequency Comb Generator Both at Transmitter and Receiver. IEEE photonics journal. 16(2). 1–7. 3 indexed citations
5.
Jiwani, Nasmin, Ketan Gupta, Giovanni Pau, & Mohammad Alibakhshikenari. (2023). Pattern Recognition of Acute Lymphoblastic Leukemia (ALL) Using Computational Deep Learning. IEEE Access. 11. 29541–29553. 30 indexed citations
6.
Lin, Hong, et al.. (2023). Automated Counting of Tobacco Plants Using Multispectral UAV Data. Agronomy. 13(12). 2861–2861. 13 indexed citations
7.
Khan, Maqbool, et al.. (2023). Utilizing Machine Learning Models to Predict Student Performance From LMS Activity Logs. IEEE Access. 11. 86953–86962. 11 indexed citations
8.
Ravikumar, C. V., et al.. (2023). Development and Performance Analysis of Five Phase Induction Motor. IEEE Access. 11. 112515–112525. 3 indexed citations
9.
Ullah, Farhan, Irfan Ullah, Rehan Ullah Khan, et al.. (2023). Deep Hyperspectral Shots: Deep Snap Smooth Wavelet Convolutional Neural Network Shots Ensemble for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 14–34. 23 indexed citations
10.
Hamdi, Monia, Mohammad Alibakhshikenari, Manel Ayadi, et al.. (2023). Acoustic Wave Reflection in Water Affects Underwater Wireless Sensor Networks. Sensors. 23(11). 5108–5108. 17 indexed citations
11.
Tobón, Diana P., et al.. (2022). LoRaWAN Path Loss Measurements in an Urban Scenario including Environmental Effects. Data. 8(1). 4–4. 21 indexed citations
12.
Trubia, Salvatore, et al.. (2021). Analysis and Evaluation of Ramp Metering: From Historical Evolution to the Application of New Algorithms and Engineering Principles. Sustainability. 13(2). 850–850. 7 indexed citations
13.
Arena, Fabio, Giovanni Pau, & Alessandro Severino. (2020). An Overview on the Current Status and Future Perspectives of Smart Cars. Infrastructures. 5(7). 53–53. 54 indexed citations
14.
Pau, Giovanni, Alessandro Severino, & Antonino Canale. (2019). Special Issue “New Perspectives in Intelligent Transportation Systems and Mobile Communications towards a Smart Cities Context”. Future Internet. 11(11). 228–228. 21 indexed citations
15.
Pau, Giovanni & Valerio Mario Salerno. (2019). Wireless Sensor Networks for Smart Homes: A Fuzzy-Based Solution for an Energy-Effective Duty Cycle. Electronics. 8(2). 131–131. 22 indexed citations
16.
Collotta, Mario & Giovanni Pau. (2017). An Innovative Approach for Forecasting of Energy Requirements to Improve a Smart Home Management System Based on BLE. IEEE Transactions on Green Communications and Networking. 1(1). 112–120. 88 indexed citations
17.
Song, Fei, Junjie Li, Giovanni Pau, et al.. (2017). Smart Collaborative Caching for Information-Centric IoT in Fog Computing. Sensors. 17(11). 2512–2512. 59 indexed citations
18.
Pau, Giovanni. (2016). Power Consumption Reduction for Wireless Sensor Networks Using A Fuzzy Approach. SHILAP Revista de lepidopterología. 14 indexed citations
19.
Collotta, Mario & Giovanni Pau. (2015). A Solution Based on Bluetooth Low Energy for Smart Home Energy Management. Energies. 8(10). 11916–11938. 73 indexed citations
20.
Collotta, Mario, et al.. (2013). Deadline-Aware Scheduling Perspectives in Industrial Wireless Networks: A Comparison between IEEE 802.15.4 and Bluetooth. International Journal of Distributed Sensor Networks. 9(6). 602923–602923. 10 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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