Gino Fragomeni

583 total citations
8 papers, 64 citations indexed

About

Gino Fragomeni is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Development. According to data from OpenAlex, Gino Fragomeni has authored 8 papers receiving a total of 64 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 1 paper in Computer Networks and Communications and 1 paper in Development. Recurrent topics in Gino Fragomeni's work include Augmented Reality Applications (6 papers), Model-Driven Software Engineering Techniques (1 paper) and Software Engineering and Design Patterns (1 paper). Gino Fragomeni is often cited by papers focused on Augmented Reality Applications (6 papers), Model-Driven Software Engineering Techniques (1 paper) and Software Engineering and Design Patterns (1 paper). Gino Fragomeni collaborates with scholars based in United States and Denmark. Gino Fragomeni's co-authors include Jessie Y. C. Chen and Xiaowen Fang and has published in prestigious journals such as Lecture notes in computer science.

In The Last Decade

Gino Fragomeni

8 papers receiving 64 citations

Peers

Gino Fragomeni
Comparison fields: 5 of 54
  • Human-Computer Interaction 34
  • Computer Vision and Pattern Recognition 22
  • Social Psychology 15
  • Cognitive Neuroscience 8
  • Industrial and Manufacturing Engineering 4
Replace Nur Yildirim with:
Nur Yildirim United States
Dan Bürger Germany
Zewei Ding Australia
António Leça Coelho Portugal
Michael A. Hedderich Germany
Vasu Sharma India
Jérémie Garcia France
Ido Iurgel Germany
Anne Vinter Ratzer Denmark
Michelangelo Fiore Italy
Nur Yildirim United States View profile →
Citations per field, relative to Gino Fragomeni
Gino Fragomeni · 1×
Citations per year, relative to Gino Fragomeni
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Countries citing papers authored by Gino Fragomeni

Since Specialization
Citations

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

Fields of papers citing papers by Gino Fragomeni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gino Fragomeni

This figure shows the co-authorship network connecting the top 25 collaborators of Gino Fragomeni. A scholar is included among the top collaborators of Gino Fragomeni 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 Gino Fragomeni. Gino Fragomeni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
# Work Indexed citations
1 2
2 6
3 8
4 12
5 9
6 10
7 15
8
Design Patterns for the Configuration of Utility-Based AI
2

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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