Giovanni Pilato

2.1k total citations
139 papers, 1.0k citations indexed

About

Giovanni Pilato is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Giovanni Pilato has authored 139 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 18 papers in Social Psychology. Recurrent topics in Giovanni Pilato's work include Topic Modeling (24 papers), Natural Language Processing Techniques (21 papers) and Speech and dialogue systems (19 papers). Giovanni Pilato is often cited by papers focused on Topic Modeling (24 papers), Natural Language Processing Techniques (21 papers) and Speech and dialogue systems (19 papers). Giovanni Pilato collaborates with scholars based in Italy, India and Germany. Giovanni Pilato's co-authors include Agnese Augello, Salvatore Gaglio, Filippo Vella, Ignazio Infantino, Riccardo Rizzo, Giorgio Vassallo, Salvatore Vitabile, Giosuè Lo Bosco, Alfredo Cuzzocrea and Antonio Chella and has published in prestigious journals such as Circulation, Computers in Human Behavior and Sustainability.

In The Last Decade

Giovanni Pilato

129 papers receiving 949 citations

Peers

Giovanni Pilato
Comparison fields: 5 of 137
  • Artificial Intelligence 520
  • Computer Vision and Pattern Recognition 211
  • Social Psychology 150
  • Information Systems 129
  • Control and Systems Engineering 102
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Citations per field, relative to Giovanni Pilato
Giovanni Pilato · 1×
Citations per year, relative to Giovanni Pilato
Giovanni Pilato · 1×

Countries citing papers authored by Giovanni Pilato

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Pilato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Pilato

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Pilato. A scholar is included among the top collaborators of Giovanni Pilato 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 Giovanni Pilato. Giovanni Pilato 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 2
2 22
3 16
4 3
5 1
6 15
7 5
8
User Emotion Detection via Taxonomy Management: An Innovative System.
2
9 1
10 2
11 6
12
ROBODANZA: Live Performances of a Creative Dancing Humanoid.
5
13
Combining Representational Domains for Computational Creativity.
8
14 20
15
An Emotional Storyteller Robot.
17
16 5
17
Web directories as a knowledge base to build a multi-agent system for information sharing
3
18
EXPERT CHAT-BOTS FOR CULTURAL HERITAGE
6
19
Agents Ownership Setting by User Fingerprints.
1
20 15

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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