Chiara Piacentini

25 total papers · 1.5k total citations
20 papers, 476 citations indexed

About

Chiara Piacentini is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Chiara Piacentini has authored 20 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 6 papers in Computational Theory and Mathematics. Recurrent topics in Chiara Piacentini's work include AI-based Problem Solving and Planning (12 papers), Robotic Path Planning Algorithms (5 papers) and Constraint Satisfaction and Optimization (5 papers). Chiara Piacentini is often cited by papers focused on AI-based Problem Solving and Planning (12 papers), Robotic Path Planning Algorithms (5 papers) and Constraint Satisfaction and Optimization (5 papers). Chiara Piacentini collaborates with scholars based in United Kingdom, Canada and United States. Chiara Piacentini's co-authors include Maria Fox, Derek Long, J. Christopher Beck, Sara Bernardini, Chris Dent, Daniele Magazzeni, Derek Long, André A. Ciré, Phil Taylor and James E. King and has published in prestigious journals such as Artificial Intelligence, IEEE Robotics and Automation Letters and Journal of Artificial Intelligence Research.

In The Last Decade

Chiara Piacentini

19 papers receiving 468 citations

Hit Papers

Proceedings of the Nation... 2015 2026 2018 2022 2015 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Chiara Piacentini 267 132 73 51 41 20 476
Nailah Al–Madi 308 1.2× 78 0.6× 62 0.8× 48 0.9× 40 1.0× 26 537
Georgios Theocharous 315 1.2× 131 1.0× 59 0.8× 44 0.9× 47 1.1× 40 549
Sergio Spanò 184 0.7× 74 0.6× 102 1.4× 37 0.7× 24 0.6× 34 529
Xiao Yu 210 0.8× 123 0.9× 100 1.4× 18 0.4× 81 2.0× 34 545
Hussein Samma 241 0.9× 174 1.3× 50 0.7× 23 0.5× 21 0.5× 31 510
Yali Du 266 1.0× 86 0.7× 60 0.8× 28 0.5× 50 1.2× 36 495
Budhitama Subagdja 311 1.2× 104 0.8× 63 0.9× 44 0.9× 31 0.8× 40 535
Bilal Kartal 284 1.1× 76 0.6× 123 1.7× 50 1.0× 21 0.5× 15 530
Lipo Wang 267 1.0× 117 0.9× 52 0.7× 13 0.3× 40 1.0× 14 497
Daniel J. Mankowitz 299 1.1× 79 0.6× 68 0.9× 28 0.5× 23 0.6× 19 527

Countries citing papers authored by Chiara Piacentini

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Piacentini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Piacentini

This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Piacentini. A scholar is included among the top collaborators of Chiara Piacentini 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 Chiara Piacentini. Chiara Piacentini 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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