Marco Lippi
- Artificial Intelligence top 2%
- Building and Construction top 1%
- Transportation top 1%
- Control and Systems Engineering top 5%
- Information Systems top 5%
- Co-authors
- Paolo TorroniPaolo FrasconiMatteo BertiniAndrea GalassiAndrea PasseriniMario ForniFranco ZambonelliMarco Mamei
- Topics
- Topic Modeling (16 papers)Multi-Agent Systems and Negotiation (6 papers)Human Mobility and Location-Based Analysis (6 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
In The Last Decade
Marco Lippi
67 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Artificial Intelligence 782
- Building and Construction 546
- Transportation 465
- Control and Systems Engineering 337
- Information Systems 232
Countries citing papers authored by Marco Lippi
This map shows the geographic impact of Marco Lippi'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 Marco Lippi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Lippi more than expected).
Fields of papers citing papers by Marco Lippi
This network shows the impact of papers produced by Marco Lippi. 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 Marco Lippi. The network helps show where Marco Lippi may publish in the future.
Co-authorship network of co-authors of Marco Lippi
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Lippi. A scholar is included among the top collaborators of Marco Lippi 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 Marco Lippi. Marco Lippi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | Explaining Potentially Unfair Clauses to the Consumer with the CLAUDETTE tool. | 1 |
| 10 | Attention, please! A critical review of neural attention models in natural language processing | 22 |
| 11 | GDPR Privacy Policies in CLAUDETTE: Challenges of Omission, Context and Multilingualism | 6 |
| 12 | 33 | |
| 13 | Constraint detection in natural language problem descriptions | 6 |
| 14 | Context-independent claim detection for argument mining | 57 |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 36 | |
| 18 | 17 | |
| 19 | 57 | |
| 20 | I prezzi di produzione : un saggio sulla teoria di Sraffa | 5 |
About Marco Lippi
Marco Lippi is a scholar working on Transportation, Artificial Intelligence and Computer Science Applications, having authored 75 papers that have together received 2.2k indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Multi-Agent Systems and Negotiation (6 papers) and Human Mobility and Location-Based Analysis (6 papers). The work is most often cited by research in Transportation (465 citations), Building and Construction (546 citations) and Artificial Intelligence (782 citations). Marco Lippi has collaborated with scholars based in Italy, Germany and Denmark. Frequent co-authors include Paolo Torroni, Paolo Frasconi, Matteo Bertini, Andrea Galassi, Andrea Passerini, Mario Forni, Franco Zambonelli, Marco Mamei, Stefano Mariani and Giampaolo Cristadoro. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.
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.