Filippo Chiarello

1.8k total citations · 1 hit paper
49 papers, 1.1k citations indexed

About

Filippo Chiarello is a scholar working on Management of Technology and Innovation, Computer Science Applications and Mechanical Engineering. According to data from OpenAlex, Filippo Chiarello has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Management of Technology and Innovation, 11 papers in Computer Science Applications and 10 papers in Mechanical Engineering. Recurrent topics in Filippo Chiarello's work include Design Education and Practice (10 papers), Topic Modeling (6 papers) and Product Development and Customization (6 papers). Filippo Chiarello is often cited by papers focused on Design Education and Practice (10 papers), Topic Modeling (6 papers) and Product Development and Customization (6 papers). Filippo Chiarello collaborates with scholars based in Italy, Sweden and Croatia. Filippo Chiarello's co-authors include Gualtiero Fantoni, Andrea Bonaccorsi, Leonello Trivelli, Vito Giordano, E. Coli, Roberto Leonardo Rana, Paola Rovelli, Andrea Fronzetti Colladon, Felice Dell’Orletta⋄ and Antonella Martini and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Technological Forecasting and Social Change.

In The Last Decade

Filippo Chiarello

48 papers receiving 1.1k citations

Hit Papers

Extracting and mapping industry 4.0 technologies using wi... 2018 2026 2020 2023 2018 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Extracting and mapping industry 4.0 technologies using wikipedia
    2018 165 citations Filippo Chiarello, Andrea Bonaccorsi et al. Computers in Industry profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Filippo Chiarello Italy 18 302 191 172 141 126 49 1.1k
Ching‐Hung Lee China 22 298 1.0× 343 1.8× 113 0.7× 193 1.4× 114 0.9× 66 1.6k
David Baxter United Kingdom 19 241 0.8× 291 1.5× 176 1.0× 272 1.9× 108 0.9× 56 1.0k
Jo�ão Reis Portugal 17 320 1.1× 180 0.9× 187 1.1× 273 1.9× 218 1.7× 87 1.4k
Chiehyeon Lim South Korea 18 184 0.6× 241 1.3× 100 0.6× 181 1.3× 245 1.9× 46 1.5k
Sergey Barykin Russia 17 170 0.6× 178 0.9× 56 0.3× 175 1.2× 87 0.7× 91 840
Željko Tekić Russia 10 106 0.4× 137 0.7× 67 0.4× 156 1.1× 125 1.0× 31 708
Maja Meško Slovenia 14 518 1.7× 162 0.8× 71 0.4× 254 1.8× 210 1.7× 66 1.4k
Dag Øivind Madsen Norway 22 204 0.7× 71 0.4× 210 1.2× 271 1.9× 338 2.7× 161 1.7k
Ari Happonen Finland 23 274 0.9× 110 0.6× 64 0.4× 343 2.4× 166 1.3× 100 1.4k
Katsumori Matsushima Japan 14 146 0.5× 261 1.4× 173 1.0× 299 2.1× 79 0.6× 35 1.4k

Countries citing papers authored by Filippo Chiarello

Since Specialization
Citations

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

Fields of papers citing papers by Filippo Chiarello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filippo Chiarello

This figure shows the co-authorship network connecting the top 25 collaborators of Filippo Chiarello. A scholar is included among the top collaborators of Filippo Chiarello 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 Filippo Chiarello. Filippo Chiarello 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
1.
Giordano, Vito, et al.. (2024). Text mining on green policies for integrating sustainability in higher education. The International Journal of Management Education. 23(2). 101126–101126. 1 indexed citations
2.
Chiarello, Filippo, et al.. (2024). LLMs for Knowledge Modeling: NLP Approach to Constructing User Knowledge Models for Personalized Education. CINECA IRIS Institutial research information system (University of Pisa). 576–583. 2 indexed citations
3.
Chiarello, Filippo, et al.. (2024). Future applications of generative large language models: A data-driven case study on ChatGPT. Technovation. 133. 103002–103002. 60 indexed citations
4.
Bucchiarone, Antonio, et al.. (2024). An AI-Driven Approach for Enhancing Engagement and Conceptual Understanding in Physics Education. CINECA IRIS Institutial research information system (University of Pisa). 1–3. 1 indexed citations
5.
Giordano, Vito, et al.. (2024). Identifying technologies in circular economy paradigm through text mining on scientific literature. PLoS ONE. 19(12). e0312709–e0312709. 19 indexed citations
6.
Giordano, Vito, et al.. (2024). Towards the extraction of semantic relations in design with natural language processing. Proceedings of the Design Society. 4. 2059–2068. 3 indexed citations
7.
Giordano, Vito, et al.. (2023). WHAT USERS WANT: A NATURAL LANGUAGE PROCESSING APPROACH TO DISCOVER USERS' NEEDS FROM ONLINE REVIEWS. Proceedings of the Design Society. 3. 3879–3888. 3 indexed citations
8.
Giordano, Vito, et al.. (2023). Tracing topic evolution in higher education: a text mining study on Italian universities. Studies in Higher Education. 49(11). 1965–1983. 1 indexed citations
9.
Panarotto, Massimo, et al.. (2023). TEXT MINING OF RESILIENT OBJECTS ABSORBING CHANGE AND UNCERTAINTY. Proceedings of the Design Society. 3. 3325–3334. 3 indexed citations
10.
Bonatti, Amedeo Franco, Filippo Chiarello, Giovanni Vozzi, & Carmelo De Maria. (2023). AI-Based Knowledge Extraction from the Bioprinting Literature for Identifying Technology Trends. 3D Printing and Additive Manufacturing. 11(4). 1495–1509. 3 indexed citations
11.
Chiarello, Filippo, Luca Gastaldi, & Antonella Martini. (2023). Design and implementation of a text mining-based tool to support scoping reviews. International Journal of Technology Management. 91(3/4). 147–147. 1 indexed citations
12.
Chiarello, Filippo, et al.. (2023). A DATA DRIVEN TOOL TO SUPPORT DESIGN TEAM COMPOSITION MEASURING SKILLS DIVERSITY. Proceedings of the Design Society. 3. 91–100. 1 indexed citations
13.
Giordano, Vito, et al.. (2023). PROBLEMS: EASY TO SAY BUT DIFFICULT TO WRITE. Proceedings of the Design Society. 3. 2945–2954. 1 indexed citations
14.
Giordano, Vito, et al.. (2022). Technology identification from patent texts: A novel named entity recognition method. Technological Forecasting and Social Change. 186. 122160–122160. 33 indexed citations
15.
Chiarello, Filippo, et al.. (2021). Value creation in emerging technologies through text mining: the case of blockchain. Technology Analysis and Strategic Management. 33(12). 1404–1420. 12 indexed citations
16.
Chiarello, Filippo, et al.. (2021). Twenty years of gender equality research: A scoping review based on a new semantic indicator. PLoS ONE. 16(9). e0256474–e0256474. 50 indexed citations
17.
Bonaccorsi, Andrea, et al.. (2020). Rapid detection of fast innovation under the pressure of COVID-19. PLoS ONE. 15(12). e0244175–e0244175. 14 indexed citations
18.
Fantoni, Gualtiero, et al.. (2020). Estimating Industry 4.0 impact on job profiles and skills using text mining. Computers in Industry. 118. 103222–103222. 138 indexed citations
19.
Chiarello, Filippo, et al.. (2019). Approaches to Automatically Extract Affordances from Patents. Proceedings of the ... International Conference on Engineering Design. 1(1). 2487–2496. 8 indexed citations
20.
Bonaccorsi, Andrea, et al.. (2017). Mapping users in patents. Steps towards a new methodology and the definition of a research agenda. CINECA IRIS Institutial research information system (University of Pisa). 2 indexed citations

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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