Giuseppe Caggianese

636 citations
26 papers · 307 indexed · h-index 10

Giuseppe Caggianese

25 papers receiving 293 citations

Peers

Giuseppe Caggianese
Comparison fields: 5 of 98
  • Human-Computer Interaction 124
  • Museology 23
  • Geology 26
  • Computer Vision and Pattern Recognition 94
  • Computer Graphics and Computer-Aided Design 9
Replace Maria Beatriz Carmo with:
Maria Beatriz Carmo Portugal
Christos Gatzidis United Kingdom
Aniello Minutolo Italy
Marcelo de Paiva Guimarães Brazil
Katerina El Raheb Greece
Lucio Ieronutti Italy
Teresa Romão Portugal
Dušanka Bošković Bosnia and Herzegovina
Matteo Ciman Italy
Klen Čopič Pucihar Slovenia
Giuseppe Caggianese relative to Maria Beatriz Carmo Portugal Maria Beatriz Carmo's profile →
Citations per field
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Maria Beatriz Carmo · 1×
Citations per year

Countries citing papers authored by Giuseppe Caggianese

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe Caggianese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20241
3 20234
4 202324
5 202220
6 20223
7 20221
8 202025
9 202018
10 201821
11 201812
12 20184
13 201729
14 20168
15 201512
16 20159
17 20153
18 20148
19 20137
20 20121

About Giuseppe Caggianese

Giuseppe Caggianese is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Rehabilitation, having authored 26 papers that have together received 307 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (11 papers), Augmented Reality Applications (10 papers), Interactive and Immersive Displays (8 papers), Stroke Rehabilitation and Recovery (3 papers), Tactile and Sensory Interactions (3 papers), Robotics and Sensor-Based Localization (3 papers), Hand Gesture Recognition Systems (3 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Human-Computer Interaction (124 citations), Museology (23 citations) and Geology (26 citations). Giuseppe Caggianese has collaborated with scholars based in Italy and United States. Frequent co-authors include Luigi Gallo, Ugo Erra, Giuseppe De Pietro, Sabrina Senatore, Nadia Brancati, Maria Frucci, Massimo Esposito, Aniello Minutolo, Nicola Capece and Antonio Giordano. Their work appears in journals such as Neuroscience & Biobehavioral Reviews, Information Sciences 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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