Giuseppe Loseto

644 citations
46 papers · 357 · h-index 12

Impact in

Papers in

Giuseppe Loseto

42 papers receiving 336 citations

Peers

Giuseppe Loseto
Comparison fields: 5 of 64
  • Computer Networks and Communications 168
  • Computer Vision and Pattern Recognition 108
  • Signal Processing 45
  • Information Systems 93
  • Computer Science Applications 17
Replace Diogo Gomes with:
Diogo Gomes Portugal
Saverio Ieva Italy
Wenjia Niu China
Cuong Truong Germany
Zhanyang Xu China
Kaleem Razzaq Malik Pakistan
Luca Roffia Italy
Panayotis Kikiras Greece
Bilal Afzal Pakistan
Roger Immich Brazil
Giuseppe Loseto relative to Diogo Gomes Portugal Diogo Gomes's profile →
Citations per field
00.5×
Diogo Gomes · 1×
Citations per year

Countries citing papers authored by Giuseppe Loseto

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe Loseto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Giuseppe Loseto, 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 Giuseppe Loseto Line = papers co-authored together Giuseppe Loseto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201336
2 201133
3 201831
4 201427
5 202426
6 201316
7 202415
8 202214
9 201214
10
Semantic-based Smart Homes: a Multi-Agent Approach.
201212
11 201812
12
Mini-ME: the Mini Matchmaking Engine.
201211
13 201810
14 20229
15 20179
16 20137
17 20177
18 20206
19 20176
20
A logic-based CoAP extension for resource discovery in semantic sensor networks
20125

About Giuseppe Loseto

Giuseppe Loseto is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 46 papers that have together received 357 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (19 papers), Service-Oriented Architecture and Web Services (14 papers), Context-Aware Activity Recognition Systems (13 papers), Semantic Web and Ontologies (13 papers), Robotics and Automated Systems (6 papers), Data Management and Algorithms (5 papers), Advanced Database Systems and Queries (4 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (4 papers). The work is most often cited by research in Computer Networks and Communications (168 citations), Computer Vision and Pattern Recognition (108 citations), Signal Processing (45 citations), Information Systems (93 citations) and Computer Science Applications (17 citations). Giuseppe Loseto has collaborated with scholars based in Italy, Mexico and Switzerland. Frequent co-authors include Floriano Scioscia, Michèle Ruta, Eugenio Di Sciascio, Saverio Ieva, Agnese Pinto, Michèle Ruta, Alessandro Massaro, Nicola Epicoco, Carmelo Ardito and C. Scioscia. Their work appears in journals such as IEEE Transactions on Industrial Informatics, Sensors, Semantic Web, IEEE Sensors Journal and Future Generation Computer 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.

Explore authors with similar magnitude of impact