Agnese Augello

1.3k total citations
80 papers, 566 citations indexed

About

Agnese Augello is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Agnese Augello has authored 80 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 14 papers in Social Psychology. Recurrent topics in Agnese Augello's work include Speech and dialogue systems (14 papers), Topic Modeling (13 papers) and Social Robot Interaction and HRI (13 papers). Agnese Augello is often cited by papers focused on Speech and dialogue systems (14 papers), Topic Modeling (13 papers) and Social Robot Interaction and HRI (13 papers). Agnese Augello collaborates with scholars based in Italy, India and United States. Agnese Augello's co-authors include Giovanni Pilato, Salvatore Gaglio, Ignazio Infantino, Filippo Vella, Riccardo Rizzo, Giorgio Vassallo, Antonio Lieto, Antonio Gentile, Manuel Gentile and Gianpaolo Vitale and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neuroscience & Biobehavioral Reviews and Frontiers in Psychology.

In The Last Decade

Agnese Augello

74 papers receiving 522 citations

Peers

Agnese Augello
Comparison fields: 5 of 97
  • Artificial Intelligence 300
  • Social Psychology 122
  • Computer Vision and Pattern Recognition 112
  • Control and Systems Engineering 83
  • Information Systems 72
Replace Veton Këpuska with:
Veton Këpuska United States
Dipankar Das Bangladesh
Félix Ramos Mexico
Antonio Lieto Italy
Curry Guinn United States
Randall W. Hill United States
Hasan Mahmud Bangladesh
Amy Isard United Kingdom
Zsófia Ruttkay Netherlands
Ivana Kruijff‐Korbayová Germany
Veton Këpuska United States View profile →
Citations per field, relative to Agnese Augello
Agnese Augello · 1×
Citations per year, relative to Agnese Augello
Agnese Augello · 1×

Countries citing papers authored by Agnese Augello

Since Specialization
Citations

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

Fields of papers citing papers by Agnese Augello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agnese Augello

This figure shows the co-authorship network connecting the top 25 collaborators of Agnese Augello. A scholar is included among the top collaborators of Agnese Augello 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 Agnese Augello. Agnese Augello 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 4
2 1
3 3
4 24
5 5
6 5
7 16
8 1
9 16
10 5
11 4
12 6
13
ROBODANZA: Live Performances of a Creative Dancing Humanoid.
5
14 3
15
Combining Representational Domains for Computational Creativity.
8
16 7
17 20
18 15
19 4
20
EXPERT CHAT-BOTS FOR CULTURAL HERITAGE
6

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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