Stefano Menini

1.8k total citations · 1 hit paper
25 papers, 910 citations indexed

About

Stefano Menini is a scholar working on Artificial Intelligence, Sensory Systems and Biomedical Engineering. According to data from OpenAlex, Stefano Menini has authored 25 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 4 papers in Sensory Systems and 4 papers in Biomedical Engineering. Recurrent topics in Stefano Menini's work include Topic Modeling (11 papers), Natural Language Processing Techniques (5 papers) and Advanced Chemical Sensor Technologies (4 papers). Stefano Menini is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (5 papers) and Advanced Chemical Sensor Technologies (4 papers). Stefano Menini collaborates with scholars based in Italy, France and Germany. Stefano Menini's co-authors include Raffaella Bernardi, Roberto Zamparelli, Marco Marelli, Luisa Bentivogli, Marco Baroni, Sara Tonelli, Elena Cabrio, Serena Villata, Pierpaolo Vittorini and Rachele Sprugnoli and has published in prestigious journals such as The American Historical Review, Knowledge-Based Systems and Language Resources and Evaluation.

In The Last Decade

Stefano Menini

24 papers receiving 842 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.

A SICK cure for the evaluation of compositional distributional semantic models

2014 354 citations Marco Marelli, Stefano Menini et al. Language Resources and Evaluation profile →

Peers

Stefano Menini

AI

CVPR

IS

MB

SPS

Sara Tonelli Italy

José Camacho-Collados United Kingdom

Snigdha Chaturvedi United States

Sheng-yi Kong Taiwan

Emily Pitler United States

Daisuke Kawahara Japan

Keh-Jiann Chen Taiwan

Katrin Erk United States

Mahesh Joshi United States

Wei-Yun Ma Taiwan

Sara Tonelli Italy

Stefano Menini

1.0k ×1.3

AI

58 ×0.4

CVPR

158 ×1.5

IS

57 ×1.3

MB

52 ×1.4

SPS

Citations per year, relative to Stefano Menini Stefano Menini (= 1×) peers Sara Tonelli

Countries citing papers authored by Stefano Menini

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Menini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Menini

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Menini. A scholar is included among the top collaborators of Stefano Menini 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 Stefano Menini. Stefano Menini 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

1.

Munari, Federico, et al.. (2024). Public research funding and science-based innovation: An analysis of ERC research grants, publications and patents. Research Evaluation. 3 indexed citations

2.

Gallotti, Riccardo, et al.. (2024). Large-scale digital signatures of emotional response to the COVID-19 vaccination campaign. EPJ Data Science. 13(1). 1 indexed citations

3.

Menini, Stefano, et al.. (2023). Scent and Sensibility: Perception Shifts in the Olfactory Domain. 143–152. 1 indexed citations

4.

Menini, Stefano, et al.. (2023). Scent Mining: Extracting Olfactory Events, Smell Sources and Qualities. 135–140. 1 indexed citations

5.

Erp, Marieke van, Vincent Christlein, Ali Hürriyetoğlu, et al.. (2023). More than the Name of the Rose. The American Historical Review. 128(1). 335–369. 4 indexed citations

6.

Tonelli, Sara & Stefano Menini. (2021). FrameNet-like Annotation of Olfactory Information in Texts. 11–20. 4 indexed citations

7.

Vittorini, Pierpaolo, Stefano Menini, & Sara Tonelli. (2020). An AI-Based System for Formative and Summative Assessment in Data Science Courses. International Journal of Artificial Intelligence in Education. 31(2). 159–185. 44 indexed citations

8.

Aprosio, Alessio Palmero, Stefano Menini, & Sara Tonelli. (2020). Adaptive Complex Word Identification through False Friend Detection. Institutional Research Information System (Università degli Studi di Trento). 192–200. 3 indexed citations

9.

Aprosio, Alessio Palmero, et al.. (2020). FBK-DH at SemEval-2020 Task 12: Using Multi-channel BERT for Multilingual Offensive Language Detection. Institutional Research Information System (Università degli Studi di Trento). 1539–1545. 6 indexed citations

10.

Menini, Stefano, et al.. (2019). A System to Monitor Cyberbullying based on Message Classification and Social Network Analysis. 105–110. 18 indexed citations

11.

Menini, Stefano, Elena Cabrio, Sara Tonelli, & Serena Villata. (2018). Never Retreat, Never Retract: Argumentation Analysis for Political Speeches. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 17 indexed citations

12.

Menini, Stefano, et al.. (2017). RAMBLE ON: Tracing Movements of Popular Historical Figures. INFM-OAR (INFN Catania). 77–80. 10 indexed citations

13.

Aprosio, Alessio Palmero, et al.. (2017). Using Semantic Linking to Understand Persons’ Networks Extracted from Text. INFM-OAR (INFN Catania). 4. 1 indexed citations

14.

Menini, Stefano, Federico Nanni, Simone Paolo Ponzetto, & Sara Tonelli. (2017). Topic-Based Agreement and Disagreement in US Electoral Manifestos. 2938–2944. 20 indexed citations

15.

Menini, Stefano & Sara Tonelli. (2016). Agreement and Disagreement: Comparison of Points of View in the Political Domain.. Institutional Research Information System (Università degli Studi di Trento). 2461–2470. 12 indexed citations

16.

Menini, Stefano, Rachele Sprugnoli, & Antonio Emmanuele Uva. (2016). "Who was Pietro Badoglio?" Towards a QA system for Italian History. Language Resources and Evaluation. 430–435. 1 indexed citations

17.

Bentivogli, Luisa, Raffaella Bernardi, Marco Marelli, et al.. (2016). SICK through the SemEval glasses. Lesson learned from the evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment. Language Resources and Evaluation. 50(1). 95–124. 26 indexed citations

18.

Moretti, Giovanni, Rachele Sprugnoli, Stefano Menini, & Sara Tonelli. (2016). ALCIDE: Extracting and visualising content from large document collections to support humanities studies. Knowledge-Based Systems. 111. 100–112. 26 indexed citations

19.

Marelli, Marco, Stefano Menini, Marco Baroni, et al.. (2014). A SICK cure for the evaluation of compositional distributional semantic models. Language Resources and Evaluation. 216–223. 354 indexed citations breakdown →

20.

Marelli, Marco, Luisa Bentivogli, Marco Baroni, et al.. (2014). SemEval-2014 Task 1: Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment. 1–8. 211 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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