Vito Giordano

494 total citations
20 papers, 269 citations indexed

About

Vito Giordano is a scholar working on Management of Technology and Innovation, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Vito Giordano has authored 20 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Management of Technology and Innovation, 4 papers in Artificial Intelligence and 4 papers in Mechanical Engineering. Recurrent topics in Vito Giordano's work include Intellectual Property and Patents (4 papers), Design Education and Practice (4 papers) and Topic Modeling (3 papers). Vito Giordano is often cited by papers focused on Intellectual Property and Patents (4 papers), Design Education and Practice (4 papers) and Topic Modeling (3 papers). Vito Giordano collaborates with scholars based in Italy, Sweden and United Kingdom. Vito Giordano's co-authors include Filippo Chiarello, Gualtiero Fantoni, Andrea Bonaccorsi, Terence Hogarth, Isabella Pecorini, Antonella Martini, E. Coli, Massimo Panarotto and Marco Abate and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Technological Forecasting and Social Change.

In The Last Decade

Vito Giordano

19 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vito Giordano Italy 7 62 51 31 27 27 20 269
Alexandre Pólvora Belgium 6 39 0.6× 31 0.6× 44 1.4× 35 1.3× 20 0.7× 8 253
László Várallyai Hungary 9 31 0.5× 21 0.4× 30 1.0× 15 0.6× 14 0.5× 45 274
Tayebeh Saheb Iran 6 45 0.7× 20 0.4× 12 0.4× 15 0.6× 51 1.9× 11 256
Sa’ed M. Salhieh Jordan 9 48 0.8× 156 3.1× 35 1.1× 27 1.0× 12 0.4× 17 298
Sabina-Cristiana Necula Romania 8 60 1.0× 9 0.2× 18 0.6× 24 0.9× 22 0.8× 24 245
Katrin Wyrtki Germany 6 63 1.0× 33 0.6× 63 2.0× 128 4.7× 18 0.7× 8 315
Vasile-Daniel Păvăloaia Romania 8 76 1.2× 9 0.2× 22 0.7× 41 1.5× 18 0.7× 19 256
Ali Ahsan Pakistan 10 45 0.7× 20 0.4× 23 0.7× 33 1.2× 16 0.6× 63 353
Rawan Abulibdeh Canada 4 61 1.0× 15 0.3× 13 0.4× 19 0.7× 39 1.4× 8 290
Galena Pisoni Italy 9 36 0.6× 23 0.5× 11 0.4× 49 1.8× 11 0.4× 30 292

Countries citing papers authored by Vito Giordano

Since Specialization
Citations

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

Fields of papers citing papers by Vito Giordano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vito Giordano

This figure shows the co-authorship network connecting the top 25 collaborators of Vito Giordano. A scholar is included among the top collaborators of Vito Giordano 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 Vito Giordano. Vito Giordano 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.
Chiarello, Filippo, et al.. (2025). Co-intelligence in design: the importance of trust in artificial intelligence. Proceedings of the Design Society. 5. 971–980.
2.
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
3.
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
4.
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
5.
Giordano, Vito & Gualtiero Fantoni. (2024). Decomposing maintenance actions into sub-tasks using natural language processing: A case study in an Italian automotive company. Computers in Industry. 164. 104186–104186. 5 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.. (2024). Identifying technologies in circular economy paradigm through text mining on scientific literature. PLoS ONE. 19(12). e0312709–e0312709. 19 indexed citations
8.
Giordano, Vito, et al.. (2024). The impact of ChatGPT on human skills: A quantitative study on twitter data. Technological Forecasting and Social Change. 203. 123389–123389. 37 indexed citations
9.
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
10.
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
11.
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
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.. (2023). Unveiling the inventive process from patents by extracting problems, solutions and advantages with natural language processing. Expert Systems with Applications. 229. 120499–120499. 12 indexed citations
15.
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
16.
Giordano, Vito, E. Coli, & Antonella Martini. (2022). An Open Data Repository for Engineering Design: Using Text Mining with Open Government Data. Computers in Industry. 142. 103738–103738. 5 indexed citations
17.
18.
Giordano, Vito, et al.. (2021). Text and Dynamic Network Analysis for Measuring Technological Convergence: A Case Study on Defense Patent Data. IEEE Transactions on Engineering Management. 70(4). 1490–1503. 39 indexed citations
19.
Chiarello, Filippo, E. Coli, Vito Giordano, Gualtiero Fantoni, & Andrea Bonaccorsi. (2021). DATA FOR ENGINEERING DESIGN: MAPS AND GAPS. Proceedings of the Design Society. 1. 821–830. 4 indexed citations
20.
Chiarello, Filippo, et al.. (2021). Towards ESCO 4.0 – Is the European classification of skills in line with Industry 4.0? A text mining approach. Technological Forecasting and Social Change. 173. 121177–121177. 38 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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