Gianni Barlacchi
- Transportation top 1%
- Building and Construction top 2%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Co-authors
- Bruno LepriLuca PappalardoMassimiliano LucaFilippo SiminiGiovanni Luca TorrisiMarco De NadaiRoberto LarcherFabrizio Antonelli
- Topics
- Human Mobility and Location-Based Analysis (12 papers)Topic Modeling (10 papers)Natural Language Processing Techniques (8 papers)
- Journals
- Nature CommunicationsIEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Gianni Barlacchi
23 papers receiving 827 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Transportation 494
- Building and Construction 293
- Computer Networks and Communications 158
- Electrical and Electronic Engineering 154
- Artificial Intelligence 141
Countries citing papers authored by Gianni Barlacchi
This map shows the geographic impact of Gianni Barlacchi'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 Gianni Barlacchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianni Barlacchi more than expected).
Fields of papers citing papers by Gianni Barlacchi
This network shows the impact of papers produced by Gianni Barlacchi. 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 Gianni Barlacchi. The network helps show where Gianni Barlacchi may publish in the future.
Co-authorship network of co-authors of Gianni Barlacchi
This figure shows the co-authorship network connecting the top 25 collaborators of Gianni Barlacchi. A scholar is included among the top collaborators of Gianni Barlacchi 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 Gianni Barlacchi. Gianni Barlacchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A survey on deep learning for human mobilitybreakdown → | 122 |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 37 | |
| 9 | 147 | |
| 10 | 3 | |
| 11 | 11 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | Exploiting Deep Neural Networks for Tweet-based Emoji Prediction | 2 |
| 15 | 39 | |
| 16 | A multi-scale approach to data-driven mass migration analysis | 10 |
| 17 | A multi-source dataset of urban life in the city of Milan and the Province of Trentinobreakdown → | 341 |
| 18 | 5 | |
| 19 | 8 | |
| 20 | 7 |
About Gianni Barlacchi
Gianni Barlacchi is a scholar working on Transportation, Artificial Intelligence and Building and Construction, having authored 23 papers that have together received 849 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (12 papers), Topic Modeling (10 papers) and Natural Language Processing Techniques (8 papers). The work is most often cited by research in Transportation (494 citations), Building and Construction (293 citations) and Computer Networks and Communications (158 citations). Gianni Barlacchi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Bruno Lepri, Luca Pappalardo, Massimiliano Luca, Filippo Simini, Giovanni Luca Torrisi, Marco De Nadai, Roberto Larcher, Fabrizio Antonelli, Alex Pentland and Alessandro Vespignani. Their work appears in journals such as Nature Communications, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Knowledge and Data Engineering.
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.