Dario Lucarella

31 papers receiving 428 citations

Peers

Dario Lucarella
Comparison fields: 5 of 52
  • Artificial Intelligence 219
  • Signal Processing 184
  • Computer Networks and Communications 133
  • Information Systems 126
  • Electrical and Electronic Engineering 100
Replace Vibhav Gogate with:
Vibhav Gogate United States
Micheł Scholl France
Peter B. Ladkin Germany
Chittoor V. Ramamoorthy United States
Claudiu Duma Sweden
Giovanni Maria Sacco Italy
Manas Joglekar United States
Alessandro Aldini Italy
Roberto De Virgilio Italy
Ajitha Rajan United Kingdom
Dario Lucarella relative to Vibhav Gogate United States Vibhav Gogate's profile →
Citations per field
00.5×10×16.7×
Vibhav Gogate · 1×
Citations per year

Countries citing papers authored by Dario Lucarella

Since Specialization
Citations

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

Fields of papers citing papers by Dario Lucarella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dario Lucarella

This figure shows the co-authorship network connecting the top 25 collaborators of Dario Lucarella. A scholar is included among the top collaborators of Dario Lucarella 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 Dario Lucarella. Dario Lucarella 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 19
2 19
3 3
4
Application of an advanced transient stability assessment and control method to a realistic power system
7
5 17
6 16
7 0
8 1
9 66
10 2
11 15
12 26
13
A Framework for Integrating Browsing and Searching in Hypertext Systems
3
14 32
15 2
16 4
17
A Model for Hypertext-Based Information Retrieval.
16
18 16
19
A search strategy for large document bases
11
20 49

About Dario Lucarella

Dario Lucarella is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 33 papers that have together received 472 indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Power System Optimization and Stability (7 papers) and Semantic Web and Ontologies (6 papers). The work is most often cited by research in Signal Processing (184 citations), Artificial Intelligence (219 citations) and Computer Networks and Communications (133 citations). Dario Lucarella has collaborated with scholars based in Italy, Belgium and Greece. Frequent co-authors include Antonella Zanzi, Gloria Bordogna, Gabriella Pasi, Diego Cirio, S. Massucco, Alberto Del Bimbo, Giorgio Maria Giannuzzi, P. Bresesti, P. Marannino and F. Zanellini. Their work appears in journals such as Information Processing & Management, ACM Transactions on Information Systems and International Journal of Intelligent Systems.

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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