Pedro H. J. Nardelli
About
In The Last Decade
Pedro H. J. Nardelli
141 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 106
- Electrical and Electronic Engineering 1.5k
- Computer Networks and Communications 674
- Control and Systems Engineering 439
- Artificial Intelligence 216
- Aerospace Engineering 210
Countries citing papers authored by Pedro H. J. Nardelli
This map shows the geographic impact of Pedro H. J. Nardelli'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 Pedro H. J. Nardelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro H. J. Nardelli more than expected).
Fields of papers citing papers by Pedro H. J. Nardelli
This network shows the impact of papers produced by Pedro H. J. Nardelli. 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 Pedro H. J. Nardelli. The network helps show where Pedro H. J. Nardelli may publish in the future.
Co-authorship network of co-authors of Pedro H. J. Nardelli
This figure shows the co-authorship network connecting the top 25 collaborators of Pedro H. J. Nardelli. A scholar is included among the top collaborators of Pedro H. J. Nardelli 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 Pedro H. J. Nardelli. Pedro H. J. Nardelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 20 | |
| 5 | 14 | |
| 6 | 7 | |
| 7 | Understanding UAV-based WPCN-aided capabilities for offshore monitoring applications | 7 |
| 8 | 32 | |
| 9 | 15 | |
| 10 | 4 | |
| 11 | Three-layer approach to detect anomalies in industrial environments based on machine learning | 9 |
| 12 | 62 | |
| 13 | 46 | |
| 14 | 85 | |
| 15 | Hybrid resource scheduling for aggregation in massive machine-type communication networks | 6 |
| 16 | Energy efficiency of an unlicensed wireless network in the presence of retransmissions | 3 |
| 17 | 9 | |
| 18 | 10 | |
| 19 | 12 | |
| 20 | Network models for the structures of modern electric power grids. | 1 |
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.