Matteo Marcuzzo

482 total citations · 1 hit paper
8 papers, 250 citations indexed

About

Matteo Marcuzzo is a scholar working on Artificial Intelligence, Information Systems and Social Psychology. According to data from OpenAlex, Matteo Marcuzzo has authored 8 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Social Psychology. Recurrent topics in Matteo Marcuzzo's work include Text and Document Classification Technologies (4 papers), Topic Modeling (4 papers) and Sentiment Analysis and Opinion Mining (2 papers). Matteo Marcuzzo is often cited by papers focused on Text and Document Classification Technologies (4 papers), Topic Modeling (4 papers) and Sentiment Analysis and Opinion Mining (2 papers). Matteo Marcuzzo collaborates with scholars based in Italy and Canada. Matteo Marcuzzo's co-authors include Andrea Gasparetto, Andrea Albarelli, Alessandro Zangari, Matteo Rizzo, Mohammad Taher Pilehvar, Claudio Lucchese, Marco S. Nobile, José Camacho-Collados and Cristina Conati and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Matteo Marcuzzo

6 papers receiving 235 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.

Fruit ripeness classification: A survey

2023 82 citations Matteo Rizzo, Matteo Marcuzzo et al. Artificial Intelligence in Agriculture profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matteo Marcuzzo Italy	6	113	57	46	38	15	8	250
Alessandro Zangari Italy	6	113 1.0×	57 1.0×	46 1.0×	38 1.0×	15 1.0×	8	250
Amitoj Singh India	12	141 1.2×	73 1.3×	26 0.6×	34 0.9×	34 2.3×	39	348
Sheak Rashed Haider Noori Bangladesh	11	121 1.1×	47 0.8×	42 0.9×	15 0.4×	23 1.5×	46	308
Isaac Ofori Ghana	8	31 0.3×	36 0.6×	18 0.4×	37 1.0×	18 1.2×	11	138
Ihtiram Raza Khan India	7	55 0.5×	85 1.5×	43 0.9×	24 0.6×	36 2.4×	46	244
Maryam Hazman Egypt	9	116 1.0×	91 1.6×	74 1.6×	56 1.5×	8 0.5×	25	284
R. Jebakumar India	8	49 0.4×	75 1.3×	40 0.9×	18 0.5×	25 1.7×	31	212
Uttam Chauhan India	4	71 0.6×	71 1.2×	41 0.9×	22 0.6×	13 0.9×	13	244
Rejwan Bin Sulaiman United Kingdom	8	106 0.9×	33 0.6×	54 1.2×	12 0.3×	22 1.5×	30	221

Countries citing papers authored by Matteo Marcuzzo

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Marcuzzo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Marcuzzo

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Marcuzzo. A scholar is included among the top collaborators of Matteo Marcuzzo 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 Matteo Marcuzzo. Matteo Marcuzzo 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:

8 of 8 papers shown

1.

Zangari, Alessandro, Matteo Marcuzzo, Andrea Albarelli, Mohammad Taher Pilehvar, & José Camacho-Collados. (2025). Pun Unintended: LLMs and the Illusion of Humor Understanding. ARCA (Università Ca' Foscari Venezia). 27924–27959.

2.

Rizzo, Matteo, Matteo Marcuzzo, Alessandro Zangari, et al.. (2025). Machine learning models explanations as interpretations of evidence: a theoretical framework of explainability and its implications on high-stakes biomedical decision-making. BMC Medical Research Methodology. 25(S1). 282–282.

3.

Zangari, Alessandro, et al.. (2024). Hierarchical Text Classification and Its Foundations: A Review of Current Research. Electronics. 13(7). 1199–1199. 7 indexed citations

4.

Rizzo, Matteo, Matteo Marcuzzo, Alessandro Zangari, Andrea Gasparetto, & Andrea Albarelli. (2023). Fruit ripeness classification: A survey. Artificial Intelligence in Agriculture. 7. 44–57. 82 indexed citations breakdown →

5.

Zangari, Alessandro, et al.. (2023). Ticket automation: An insight into current research with applications to multi-level classification scenarios. Expert Systems with Applications. 225. 119984–119984. 9 indexed citations

6.

Gasparetto, Andrea, Alessandro Zangari, Matteo Marcuzzo, & Andrea Albarelli. (2022). A survey on text classification: Practical perspectives on the Italian language. PLoS ONE. 17(7). e0270904–e0270904. 9 indexed citations

7.

Marcuzzo, Matteo, Alessandro Zangari, Andrea Albarelli, & Andrea Gasparetto. (2022). Recommendation Systems: An Insight Into Current Development and Future Research Challenges. IEEE Access. 10. 86578–86623. 21 indexed citations

8.

Gasparetto, Andrea, Matteo Marcuzzo, Alessandro Zangari, & Andrea Albarelli. (2022). A Survey on Text Classification Algorithms: From Text to Predictions. Information. 13(2). 83–83. 122 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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