Gianluca Paravati

1.0k citations
47 papers · 626 indexed · h-index 14
Topics
Interactive and Immersive Displays (9 papers)Augmented Reality Applications (8 papers)Advanced Vision and Imaging (8 papers)
Journals
SHILAP Revista de lepidopterologíaSensorsIEEE Transactions on Industrial Informatics
Partner nations
ItalySloveniaGermany

In The Last Decade

Gianluca Paravati

46 papers receiving 593 citations

Peers

Gianluca Paravati
Comparison fields: 5 of 80
  • Computer Vision and Pattern Recognition 338
  • Human-Computer Interaction 214
  • Aerospace Engineering 148
  • Control and Systems Engineering 102
  • Mechanical Engineering 62
Replace João Marcelo Teixeira with:
João Marcelo Teixeira Brazil
Cristina Perfecto Spain
Maria Gorlatova United States
Farzam Farbiz Singapore
Florian Echtler Germany
Mohammed S. Elbamby Finland
D. W. F. van Krevelen Netherlands
Dirk Reiners United States
Yuki Uranishi Japan
Jeffrey Jacobson United States
Gianluca Paravati relative to João Marcelo Teixeira Brazil João Marcelo Teixeira's profile →
Citations per field
00.5×2.8×
João Marcelo Teixeira · 1×
Citations per year

Countries citing papers authored by Gianluca Paravati

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca Paravati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianluca Paravati

This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Paravati. A scholar is included among the top collaborators of Gianluca Paravati 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 Gianluca Paravati. Gianluca Paravati 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 4
2 2
3 13
4 22
5 8
6 18
7 2
8 10
9 8
10 1
11 2
12 6
13 6
14 3
15 3
16 21
17 2
18 11
19 5
20 5

About Gianluca Paravati

Gianluca Paravati is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 47 papers that have together received 626 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (9 papers), Augmented Reality Applications (8 papers) and Advanced Vision and Imaging (8 papers). The work is most often cited by research in Human-Computer Interaction (214 citations), Computer Vision and Pattern Recognition (338 citations) and Computer Graphics and Computer-Aided Design (26 citations). Gianluca Paravati has collaborated with scholars based in Italy, Slovenia and Germany. Frequent co-authors include Fabrizio Lamberti, Andrea Sanna, Federico Manuri, Valentina Gatteschi, Paolo Montuschi, Claudio Giovanni Demartini, Alberto Cannavò, Giovanni Piumatti, Jean-Claude Bajard and Filippo Gandino. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Transactions on Industrial Informatics.

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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