Diletta Chiaro

30 total papers · 712 total citations
23 papers, 341 citations indexed

About

Diletta Chiaro is a scholar working on Artificial Intelligence, Control and Systems Engineering and Building and Construction. According to data from OpenAlex, Diletta Chiaro has authored 23 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 3 papers in Control and Systems Engineering and 3 papers in Building and Construction. Recurrent topics in Diletta Chiaro's work include Privacy-Preserving Technologies in Data (8 papers), Traffic Prediction and Management Techniques (3 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Diletta Chiaro is often cited by papers focused on Privacy-Preserving Technologies in Data (8 papers), Traffic Prediction and Management Techniques (3 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Diletta Chiaro collaborates with scholars based in Italy and Lithuania. Diletta Chiaro's co-authors include Francesco Piccialli, Pian Qi, Michele Ianni, Antonella Guzzo, Giancarlo Fortino, Fabio Giampaolo, Edoardo Prezioso, Stefano Izzo, Marcella Savoia and Ernesto Damiani and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Industrial Informatics.

In The Last Decade

Diletta Chiaro

20 papers receiving 330 citations

Hit Papers

Model aggregation techniq... 2023 2026 2024 2023 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Diletta Chiaro 215 67 54 42 30 23 341
Michele Ianni 264 1.2× 95 1.4× 63 1.2× 49 1.2× 38 1.3× 36 396
Wei Wu 218 1.0× 52 0.8× 100 1.9× 36 0.9× 22 0.7× 29 359
Laïla Benhlima 109 0.5× 68 1.0× 73 1.4× 46 1.1× 29 1.0× 37 321
Xiao Yang 262 1.2× 42 0.6× 27 0.5× 49 1.2× 33 1.1× 32 364
Harun Bingöl 204 0.9× 28 0.4× 26 0.5× 63 1.5× 24 0.8× 24 363
A.K.M. Muzahidul Islam 170 0.8× 56 0.8× 73 1.4× 44 1.0× 22 0.7× 26 314
Alper Özcan 151 0.7× 73 1.1× 106 2.0× 61 1.5× 25 0.8× 27 362
Maytham N. Meqdad 86 0.4× 54 0.8× 59 1.1× 35 0.8× 40 1.3× 29 324
Aram M. Ahmed 120 0.6× 140 2.1× 105 1.9× 51 1.2× 38 1.3× 20 376
Li Shen 231 1.1× 26 0.4× 47 0.9× 41 1.0× 51 1.7× 23 361

Countries citing papers authored by Diletta Chiaro

Since Specialization
Citations

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

Fields of papers citing papers by Diletta Chiaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diletta Chiaro

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

All Works

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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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