Loris Barbieri

64 papers receiving 1.2k citations

Peers

Loris Barbieri
Comparison fields: 5 of 110
  • Human-Computer Interaction 374
  • Geology 286
  • Space and Planetary Science 58
  • Conservation 102
  • Computer Vision and Pattern Recognition 455
Replace Cristina Portalés with:
Cristina Portalés Spain
Jaime Gómez‐García‐Bermejo Spain
Eduardo Zalama Spain
Florin Gîrbacia Romania
George P. Pavlidis Greece
Mafkereseb Kassahun Bekele Australia
Marinos Ioannides Cyprus
Anestis Koutsoudis Greece
Răzvan Gabriel Boboc Romania
Martin Kampel Austria
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Citations per field
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Citations per year

Countries citing papers authored by Loris Barbieri

Since Specialization
Citations

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

Fields of papers citing papers by Loris Barbieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Loris Barbieri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Loris Barbieri Line = papers co-authored together Loris Barbieri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021139
2 2020122
3 2017109
4 201956
5 201752
6 201950
7 202246
8 201746
9 201842
10 201640
11 202037
12 201236
13 201630
14 201828
15 201626
16 201525
17 202422
18 201921
19 200719
20 201716

About Loris Barbieri

Loris Barbieri is a scholar working on Geology, Human-Computer Interaction, Archeology, Computer Vision and Pattern Recognition and Conservation, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (25 papers), Augmented Reality Applications (17 papers), Virtual Reality Applications and Impacts (17 papers), Maritime and Coastal Archaeology (17 papers), Robotics and Sensor-Based Localization (9 papers), Underwater Vehicles and Communication Systems (9 papers), Conservation Techniques and Studies (8 papers) and Manufacturing Process and Optimization (7 papers). The work is most often cited by research in Human-Computer Interaction (374 citations), Geology (286 citations), Space and Planetary Science (58 citations), Conservation (102 citations) and Computer Vision and Pattern Recognition (455 citations). Loris Barbieri has collaborated with scholars based in Italy, Cyprus and Bosnia and Herzegovina. Frequent co-authors include Fabio Bruno, Maurizio Muzzupappa, Emanuele Marino, Marco Cozza, Antonio Lagudi, Dimitrios P. Skarlatos, Fotis Liarokapis, Selma Rizvić, Filip Škola and Alessandro Gallo. Their work appears in journals such as Computers in Industry, The International Journal of Advanced Manufacturing Technology, International Journal on Interactive Design and Manufacturing (IJIDeM), Ocean Engineering and Marine Technology Society Journal.

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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