Fabio Bellifemine

36 papers receiving 2.8k citations

Hit Papers

Developing Multi‐Agent Systems with JADE200720262013201920074008001.2k

Peers

Fabio Bellifemine
Comparison fields: 5 of 123
  • Artificial Intelligence 1.6k
  • Computer Networks and Communications 1.3k
  • Information Systems 742
  • Computer Vision and Pattern Recognition 406
  • Management Information Systems 402
Replace Haibin Zhu with:
Haibin Zhu Canada
B. Chandrasekaran United States
H. Van Dyke Parunak United States
Chun‐Wei Tsai Taiwan
Wentong Cai Singapore
Enric Plaza Spain
Michael Genesereth United States
Kuo‐Ming Chao United Kingdom
Franco Zambonelli Italy
Edmund H. Durfee United States
Fabio Bellifemine relative to Haibin Zhu Canada Haibin Zhu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fabio Bellifemine

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Bellifemine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Bellifemine

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Bellifemine. A scholar is included among the top collaborators of Fabio Bellifemine 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 Fabio Bellifemine. Fabio Bellifemine 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
#WorkIndexed citations
1 5
2 5
3
FLEXIBLE SMART METERING FOR MULTIPLE ENERGY VECTORS WITH ACTIVE PROSUMERS
3
4
Analisi della flessibilità della domanda di energia elettrica residenziale in Italia
1
5 76
6 5
7 39
8 8
9
Developing Multi-Agent Systems with JADE (Wiley Series in Agent Technology)
251
10
Developing Multi‐Agent Systems with JADEbreakdown →
1346
11 174
12
Customer information sharing between e-commerce applications.
1
13 2
14
An Object-Oriented Framework to Realize Agent Systems.
21
15 16
16 1
17 7
18 47
19
AN APPLICATION OF BROADCAST TV FOR BROAD-BAND DIGITAL NETWORKS
3
20 2

About Fabio Bellifemine

Fabio Bellifemine is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 37 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (11 papers), Video Coding and Compression Technologies (7 papers) and Mobile Agent-Based Network Management (7 papers). The work is most often cited by research in Computer Networks and Communications (1.3k citations), Artificial Intelligence (1.6k citations) and Management Information Systems (402 citations). Fabio Bellifemine has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Giovanni Rimassa, Agostino Poggi, Giovanni Caire, Dominic Greenwood, Giancarlo Fortino, Roberta Giannantonio, Antonio Guerrieri, Raffaele Gravina, Marco Sgroi and Antonio Chimienti. Their work appears in journals such as IEEE Transactions on Communications, Engineering Applications of Artificial Intelligence and Journal of Clinical Medicine.

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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