P. Pivato

3.7k total citations
10 papers, 326 citations indexed

About

P. Pivato is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Ocean Engineering. According to data from OpenAlex, P. Pivato has authored 10 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 5 papers in Computer Networks and Communications and 5 papers in Ocean Engineering. Recurrent topics in P. Pivato's work include Indoor and Outdoor Localization Technologies (8 papers), Underwater Vehicles and Communication Systems (5 papers) and Energy Efficient Wireless Sensor Networks (4 papers). P. Pivato is often cited by papers focused on Indoor and Outdoor Localization Technologies (8 papers), Underwater Vehicles and Communication Systems (5 papers) and Energy Efficient Wireless Sensor Networks (4 papers). P. Pivato collaborates with scholars based in Italy. P. Pivato's co-authors include Dario Petri, Luigi Palopoli, David Macii, Alessio Colombo, Daniele Fontanelli, Alessandra Flammini, Paolo Ferrari, Emiliano Sisinni, G. Russano and F. Gibert and has published in prestigious journals such as IEEE Transactions on Instrumentation and Measurement, Classical and Quantum Gravity and Institutional Research Information System (Università degli Studi di Trento).

In The Last Decade

P. Pivato

10 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Pivato Italy 9 284 129 114 91 53 10 326
Francesco Zorzi Italy 4 301 1.1× 171 1.3× 171 1.5× 96 1.1× 35 0.7× 6 353
Weining Qiu China 10 345 1.2× 106 0.8× 129 1.1× 133 1.5× 96 1.8× 11 366
Ali Khalajmehrabadi United States 6 369 1.3× 107 0.8× 127 1.1× 122 1.3× 139 2.6× 10 409
Roshan Ayyalasomayajula United States 7 281 1.0× 82 0.6× 104 0.9× 102 1.1× 77 1.5× 10 343
Shenglei Xu China 11 380 1.3× 84 0.7× 142 1.2× 159 1.7× 93 1.8× 19 409
Linqing Gui China 11 357 1.3× 227 1.8× 183 1.6× 61 0.7× 51 1.0× 22 439
Mohamed Adnan Landolsi Saudi Arabia 10 295 1.0× 180 1.4× 52 0.5× 67 0.7× 30 0.6× 54 334
Károly Molnár United States 2 226 0.8× 157 1.2× 109 1.0× 50 0.5× 59 1.1× 4 300
Minghao Si China 10 340 1.2× 68 0.5× 125 1.1× 130 1.4× 63 1.2× 14 363

Countries citing papers authored by P. Pivato

Since Specialization
Citations

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

Fields of papers citing papers by P. Pivato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Pivato

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

All Works

10 of 10 papers shown
1.
Russano, G., A. Cavalleri, A. Cesarini, et al.. (2017). Measuring fN force variations in the presence of constant nN forces: a torsion pendulum ground test of the LISA Pathfinder free-fall mode. Classical and Quantum Gravity. 35(3). 35017–35017. 11 indexed citations
2.
Pivato, P., et al.. (2013). Timestamping of IEEE 802.15.4a CSS Signals for Wireless Ranging and Time Synchronization. IEEE Transactions on Instrumentation and Measurement. 62(8). 2286–2296. 30 indexed citations
3.
Macii, David, Alessio Colombo, P. Pivato, & Daniele Fontanelli. (2012). A Data Fusion Technique for Wireless Ranging Performance Improvement. IEEE Transactions on Instrumentation and Measurement. 62(1). 27–37. 66 indexed citations
4.
Pivato, P., et al.. (2012). Performance evaluation of Chirp Spread Spectrum ranging for indoor embedded navigation systems. Institutional Research Information System (Università degli Studi di Trento). 2006. 307–310. 11 indexed citations
5.
Ferrari, Paolo, et al.. (2012). Timestamping performance analysis of IEEE 802.15.4a systems based on SDR platforms. Institutional Research Information System (Università degli Studi di Brescia). 2034–2039. 8 indexed citations
6.
Macii, David, et al.. (2011). A robust wireless proximity detection technique based on RSS and ToF measurements. Institutional Research Information System (Università degli Studi di Trento). 31–36. 14 indexed citations
7.
Pivato, P., et al.. (2011). A wearable wireless sensor node for body fall detection. Institutional Research Information System (Università degli Studi di Trento). 116–121. 8 indexed citations
8.
Pivato, P., Luigi Palopoli, & Dario Petri. (2011). Accuracy of RSS-Based Centroid Localization Algorithms in an Indoor Environment. IEEE Transactions on Instrumentation and Measurement. 60(10). 3451–3460. 162 indexed citations
9.
Pivato, P., et al.. (2010). Experimental assessment of a RSS-based localization algorithm in indoor environment. Institutional Research Information System (Università degli Studi di Trento). 57. 416–421. 11 indexed citations
10.
Corrà, Michele, et al.. (2009). WSNAP: a Flexible Platform for Wireless Sensor Networks data collection and management. Institutional Research Information System (Università degli Studi di Trento). 35. 1–7. 5 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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