Giuseppe D’Aniello

1.2k total citations
64 papers, 806 citations indexed

About

Giuseppe D’Aniello is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Giuseppe D’Aniello has authored 64 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 15 papers in Information Systems. Recurrent topics in Giuseppe D’Aniello's work include Context-Aware Activity Recognition Systems (18 papers), Semantic Web and Ontologies (12 papers) and Human-Automation Interaction and Safety (9 papers). Giuseppe D’Aniello is often cited by papers focused on Context-Aware Activity Recognition Systems (18 papers), Semantic Web and Ontologies (12 papers) and Human-Automation Interaction and Safety (9 papers). Giuseppe D’Aniello collaborates with scholars based in Italy, Canada and Greece. Giuseppe D’Aniello's co-authors include Matteo Gaeta, Francesco Orciuoli, Vincenzo Loia, Angelo Gaeta, Giuseppe Sansonetti, Alessandro Micarelli, Fabio Gasparetti, Stefania Tomasiello, Domenico Santaniello and Marek Reformat and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Expert Systems with Applications.

In The Last Decade

Giuseppe D’Aniello

56 papers receiving 768 citations

Peers

Giuseppe D’Aniello
Comparison fields: 5 of 96
  • Artificial Intelligence 363
  • Information Systems 152
  • Computer Vision and Pattern Recognition 133
  • Sociology and Political Science 111
  • Management Science and Operations Research 107
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Takao Terano Japan
Moninder Singh United States
Richard Dazeley Australia
Mei‐Hui Wang Taiwan
Angelo Gaeta Italy
Sanjay Singh India
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Citations per field, relative to Giuseppe D’Aniello
Giuseppe D’Aniello · 1×
Citations per year, relative to Giuseppe D’Aniello
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Countries citing papers authored by Giuseppe D’Aniello

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe D’Aniello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe D’Aniello

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe D’Aniello. A scholar is included among the top collaborators of Giuseppe D’Aniello 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 Giuseppe D’Aniello. Giuseppe D’Aniello 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
# Work Indexed citations
1 0
2 2
3 6
4 0
5 0
6 3
7 2
8 18
9 25
10 13
11 49
12 59
13 22
14 9
15 8
16 7
17 18
18
Improvements of logistics in region Campania using a profiling/competence-based approach, enriched with experience
2
19 5
20 23

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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