Marco Lippi

3.7k total citations · 2 hit papers
75 papers, 2.2k citations indexed

About

Marco Lippi is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marco Lippi has authored 75 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 12 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marco Lippi's work include Topic Modeling (16 papers), Multi-Agent Systems and Negotiation (6 papers) and Human Mobility and Location-Based Analysis (6 papers). Marco Lippi is often cited by papers focused on Topic Modeling (16 papers), Multi-Agent Systems and Negotiation (6 papers) and Human Mobility and Location-Based Analysis (6 papers). Marco Lippi collaborates with scholars based in Italy, Germany and Denmark. Marco Lippi's co-authors include Paolo Torroni, Paolo Frasconi, Matteo Bertini, Andrea Galassi, Andrea Passerini, Mario Forni, Franco Zambonelli, Marco Mamei, Stefano Mariani and Giampaolo Cristadoro and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Marco Lippi

67 papers receiving 2.1k citations

Hit Papers

align trajectories

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.

Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning

2013 560 citations Marco Lippi, Paolo Frasconi et al. profile →
Attention in Natural Language Processing

2020 406 citations Andrea Galassi, Marco Lippi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marco Lippi Italy	21	782	546	465	337	232	75	2.2k
Guannan Liu China	19	534 0.7×	264 0.5×	382 0.8×	111 0.3×	257 1.1×	67	1.4k
Lei Lin China	27	499 0.6×	783 1.4×	577 1.2×	307 0.9×	100 0.4×	115	2.4k
Kunpeng Zhang China	29	1.1k 1.4×	287 0.5×	577 1.2×	66 0.2×	443 1.9×	129	2.5k
Alexander Mendiburu Spain	20	762 1.0×	180 0.3×	172 0.4×	178 0.5×	91 0.4×	126	1.7k
Yong Zhang China	26	726 0.9×	569 1.0×	394 0.8×	558 1.7×	217 0.9×	253	2.7k
Yu Zheng China	20	830 1.1×	215 0.4×	194 0.4×	90 0.3×	298 1.3×	79	1.8k
Celso C. Ribeiro Brazil	32	851 1.1×	192 0.4×	153 0.3×	226 0.7×	123 0.5×	164	4.0k
Zhiguo Gong Macao	26	987 1.3×	229 0.4×	351 0.8×	86 0.3×	714 3.1×	177	2.7k
Xi Lin China	22	347 0.4×	430 0.8×	325 0.7×	507 1.5×	384 1.7×	91	2.0k
Chang‐Tien Lu United States	31	1.6k 2.1×	373 0.7×	529 1.1×	131 0.4×	490 2.1×	223	3.5k

Countries citing papers authored by Marco Lippi

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Pałka, Przemysław, et al.. (2025). Make privacy policies longer and appoint LLM readers. Artificial Intelligence and Law.

Baldi, Ada, Laura Carnevali, Giovanni Collodi, Marco Lippi, & Antonio Manes. (2025). Multi-task neural networks for multi-step soil moisture forecasting in vineyards using Internet-of-Things sensors. Smart Agricultural Technology. 10. 100769–100769. 1 indexed citations

Lagioia, Francesca, et al.. (2025). Towards Reliable Retrieval in RAG Systems for Large Legal Datasets. Institutional Research Information System (Università degli Studi di Trento). 17–30.

Galassi, Andrea, et al.. (2024). Unfair clause detection in terms of service across multiple languages. Artificial Intelligence and Law. 33(3). 641–689. 2 indexed citations

Martinelli, M., et al.. (2024). Hierarchical Digital Twin Ecosystem for Industrial Manufacturing Scenarios. Florence Research (University of Florence). 56–63. 1 indexed citations

Lippi, Marco, et al.. (2024). Autonomous Mental Development at the Individual and Collective Levels: Concept and Challenges. IEEE Access. 13. 5907–5921.

Villani, Valeria, Cristian Secchi, Marco Lippi, & Lorenzo Sabattini. (2023). A General Pipeline for Online Gesture Recognition in Human–Robot Interaction. IEEE Transactions on Human-Machine Systems. 53(2). 315–324. 7 indexed citations

Brambilla, Gianfranco, A. Rosi, Andrea Galassi, et al.. (2022). Argument mining as rapid screening tool of COVID-19 literature quality: Preliminary evidence. Frontiers in Public Health. 10. 945181–945181.

Lagioia, Francesca, et al.. (2020). Explaining Potentially Unfair Clauses to the Consumer with the CLAUDETTE tool.. Knowledge Discovery and Data Mining. 61–64. 1 indexed citations

10.

Galassi, Andrea, Marco Lippi, & Paolo Torroni. (2019). Attention, please! A critical review of neural attention models in natural language processing. arXiv (Cornell University). 1–18. 22 indexed citations

11.

Contissa, Giuseppe, Francesca Lagioia, Marco Lippi, et al.. (2019). GDPR Privacy Policies in CLAUDETTE: Challenges of Omission, Context and Multilingualism. 2385. 1–7. 6 indexed citations

12.

Lippi, Marco, Angelo Famà, Massimiliano Casali, et al.. (2019). Texture analysis and multiple-instance learning for the classification of malignant lymphomas. Computer Methods and Programs in Biomedicine. 185. 105153–105153. 33 indexed citations

13.

Kiziltan, Zeynep, Marco Lippi, & Paolo Torroni. (2016). Constraint detection in natural language problem descriptions. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 744–750. 6 indexed citations

14.

Lippi, Marco & Paolo Torroni. (2015). Context-independent claim detection for argument mining. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 2015. 185–191. 57 indexed citations

15.

Lippi, Marco. (2015). Statistical Relational Learning for Game Theory. IEEE Transactions on Computational Intelligence and AI in Games. 8(4). 412–425. 3 indexed citations

16.

Jaeger, Manfred, Marco Lippi, Andrea Passerini, & Paolo Frasconi. (2013). Type Extension Trees for feature construction and learning in relational domains. Artificial Intelligence. 204. 30–55. 2 indexed citations

17.

Shi, Wuxian, Marco Punta, Jen Bohon, et al.. (2011). Characterization of metalloproteins by high-throughput X-ray absorption spectroscopy. Genome Research. 21(6). 898–907. 36 indexed citations

18.

Passerini, Andrea, Marco Lippi, & Paolo Frasconi. (2011). Predicting Metal-Binding Sites from Protein Sequence. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 9(1). 203–213. 17 indexed citations

19.

Passerini, Andrea, Marco Lippi, & Paolo Frasconi. (2011). MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence. Nucleic Acids Research. 39(suppl_2). W288–W292. 57 indexed citations

20.

Lippi, Marco. (1979). I prezzi di produzione : un saggio sulla teoria di Sraffa. 5 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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