Benedetta Picano

740 total citations
40 papers, 536 citations indexed

About

Benedetta Picano is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Benedetta Picano has authored 40 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 21 papers in Electrical and Electronic Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Benedetta Picano's work include IoT and Edge/Fog Computing (12 papers), Advanced MIMO Systems Optimization (12 papers) and IoT Networks and Protocols (5 papers). Benedetta Picano is often cited by papers focused on IoT and Edge/Fog Computing (12 papers), Advanced MIMO Systems Optimization (12 papers) and IoT Networks and Protocols (5 papers). Benedetta Picano collaborates with scholars based in Italy, South Korea and United States. Benedetta Picano's co-authors include Romano Fantacci, Francesco Chiti, Gabriele Patrizi, Marcantonio Catelani, Lorenzo Ciani, Zhu Han, Federica Paganelli, Tommaso Pecorella, Enrico Vicario and Giulio Bartoli and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Vehicular Technology.

In The Last Decade

Benedetta Picano

36 papers receiving 525 citations

Peers

Benedetta Picano
Comparison fields: 5 of 57
  • Computer Networks and Communications 266
  • Electrical and Electronic Engineering 257
  • Automotive Engineering 118
  • Artificial Intelligence 95
  • Information Systems 89
Replace Nianbo Liu with:
Nianbo Liu China
Samy El-Tawab United States
Konglin Zhu China
Yuxiang Ma China
Jinmei Shu China
Muhammad Ikram Ashraf Finland
Tingting Fu China
Tomader Mazri Morocco
Nianbo Liu China View profile →
Citations per field, relative to Benedetta Picano
Benedetta Picano · 1×
Citations per year, relative to Benedetta Picano
Benedetta Picano · 1×

Countries citing papers authored by Benedetta Picano

Since Specialization
Citations

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

Fields of papers citing papers by Benedetta Picano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benedetta Picano

This figure shows the co-authorship network connecting the top 25 collaborators of Benedetta Picano. A scholar is included among the top collaborators of Benedetta Picano 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 Benedetta Picano. Benedetta Picano 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
# Work Indexed citations
1 1
2 0
3 6
4 2
5 0
6 1
7 2
8 4
9 3
10 5
11 2
12 30
13 23
14 28
15 5
16 41
17 2
18 19
19 84
20 2

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

Rankless by CCL
2026