Giuseppe Carenini

6.1k total citations · 1 hit paper
174 papers, 3.6k citations indexed

About

Giuseppe Carenini is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Giuseppe Carenini has authored 174 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Artificial Intelligence, 52 papers in Computer Vision and Pattern Recognition and 21 papers in Information Systems. Recurrent topics in Giuseppe Carenini's work include Topic Modeling (68 papers), Natural Language Processing Techniques (53 papers) and Advanced Text Analysis Techniques (46 papers). Giuseppe Carenini is often cited by papers focused on Topic Modeling (68 papers), Natural Language Processing Techniques (53 papers) and Advanced Text Analysis Techniques (46 papers). Giuseppe Carenini collaborates with scholars based in Canada, United States and United Kingdom. Giuseppe Carenini's co-authors include Raymond T. Ng, Johanna D. Moore, Cristina Conati, Ben Steichen, Gabriel Murray, Enamul Hoque, Shafiq Joty, Yashar Mehdad, Dereck Toker and Wen Xiao and has published in prestigious journals such as Artificial Intelligence, Journal of Medical Internet Research and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Giuseppe Carenini

167 papers receiving 3.3k citations

Hit Papers

Tracking COVID-19 Discour... 2021 2026 2022 2024 2021 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giuseppe Carenini Canada 34 2.5k 867 507 375 327 174 3.6k
Michelle X. Zhou United States 28 1.2k 0.5× 1.2k 1.3× 455 0.9× 510 1.4× 185 0.6× 119 2.7k
Michael Terry Canada 26 928 0.4× 638 0.7× 429 0.8× 237 0.6× 622 1.9× 80 2.9k
Ehud Reiter United Kingdom 31 3.6k 1.5× 661 0.8× 396 0.8× 160 0.4× 106 0.3× 153 4.5k
Edward Loper United States 6 3.2k 1.3× 485 0.6× 966 1.9× 481 1.3× 86 0.3× 8 4.6k
Judith Masthoff United Kingdom 22 852 0.3× 364 0.4× 883 1.7× 402 1.1× 251 0.8× 148 2.5k
Carrie J. Cai United States 20 1.2k 0.5× 373 0.4× 308 0.6× 179 0.5× 290 0.9× 38 2.5k
Mark Riedl United States 30 2.5k 1.0× 807 0.9× 149 0.3× 877 2.3× 218 0.7× 157 3.2k
Michel Galley United States 30 5.4k 2.2× 1.1k 1.3× 466 0.9× 135 0.4× 118 0.4× 69 5.9k
Catherine Havasi United States 18 3.4k 1.4× 654 0.8× 589 1.2× 364 1.0× 55 0.2× 39 4.1k
Jina Suh United States 19 1.1k 0.4× 438 0.5× 207 0.4× 203 0.5× 292 0.9× 58 2.2k

Countries citing papers authored by Giuseppe Carenini

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe Carenini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Carenini

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Carenini. A scholar is included among the top collaborators of Giuseppe Carenini 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 Giuseppe Carenini. Giuseppe Carenini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Carenini, Giuseppe, et al.. (2025). ChartGaze: Enhancing Chart Understanding in LVLMs with Eye-Tracking Guided Attention Refinement. 12104–12124. 1 indexed citations
3.
Carenini, Giuseppe, et al.. (2024). Long COVID Discourse in Canada, the United States, and Europe: Topic Modeling and Sentiment Analysis of Twitter Data. Journal of Medical Internet Research. 26. e59425–e59425. 2 indexed citations
4.
Li, Chuyuan, Yuwei Yin, & Giuseppe Carenini. (2024). Dialogue Discourse Parsing as Generation: A Sequence-to-Sequence LLM-based Approach. 1–14.
5.
Rizzo, Matteo, Cristina Conati, Gabriel Murray, et al.. (2022). Evaluating Web-Based Automatic Transcription for Alzheimer Speech Data: Transcript Comparison and Machine Learning Analysis. JMIR Aging. 5(3). e33460–e33460. 14 indexed citations
6.
Barral, Oswald, et al.. (2020). Non-Invasive Classification of Alzheimer’s Disease Using Eye Tracking and Language. 813–841. 5 indexed citations
7.
Xiao, Wen & Giuseppe Carenini. (2020). Systematically Exploring Redundancy Reduction in Summarizing Long Documents. 516–528. 5 indexed citations
8.
Mehri, Shikib & Giuseppe Carenini. (2017). Chat Disentanglement: Identifying Semantic Reply Relationships with Random Forests and Recurrent Neural Networks. International Joint Conference on Natural Language Processing. 1. 615–623. 17 indexed citations
9.
Hoque, Enamul, Shafiq Joty, Lluı́s Màrquez, et al.. (2016). An interactive system for exploring community question answering forums. International Conference on Computational Linguistics. 1–5. 4 indexed citations
10.
Carenini, Giuseppe, et al.. (2016). Training Data Enrichment for Infrequent Discourse Relations. International Conference on Computational Linguistics. 2603–2614. 5 indexed citations
11.
Carenini, Giuseppe, Cristina Conati, Enamul Hoque, & Ben Steichen. (2013). User Task Adaptation in Multimedia Presentations.. 3 indexed citations
12.
Joty, Shafiq, Giuseppe Carenini, Raymond T. Ng, & Yashar Mehdad. (2013). Combining Intra- and Multi-sentential Rhetorical Parsing for Document-level Discourse Analysis. Meeting of the Association for Computational Linguistics. 1. 486–496. 83 indexed citations
13.
Joty, Shafiq, Giuseppe Carenini, & Raymond T. Ng. (2012). A Novel Discriminative Framework for Sentence-Level Discourse Analysis. Empirical Methods in Natural Language Processing. 904–915. 43 indexed citations
14.
Joty, Shafiq, Giuseppe Carenini, Gabriel Murray, & Raymond T. Ng. (2010). Exploiting Conversation Structure in Unsupervised Topic Segmentation for Emails. Empirical Methods in Natural Language Processing. 29(1). 388–398. 12 indexed citations
15.
Carenini, Giuseppe, Raymond T. Ng, & Xiaodong Zhou. (2008). Summarizing Emails with Conversational Cohesion and Subjectivity. Meeting of the Association for Computational Linguistics. 353–361. 52 indexed citations
16.
Carenini, Giuseppe & Rita Sharma. (2004). Exploring more realistic evaluation measures for collaborative filtering. National Conference on Artificial Intelligence. 749–754. 7 indexed citations
17.
Conati, Cristina & Giuseppe Carenini. (2001). Generating Tailored Examples to Support Learning via Self-explanation. 9 indexed citations
18.
Carenini, Giuseppe & Johanna D. Moore. (1999). Proceedings of the Seventh International Conference on User Modeling. 16 indexed citations
19.
Green, Nancy, et al.. (1998). In Proceedings of the AAAI-98 Workshop on Representations for Multi-modal Human-Computer Interaction. National Conference on Artificial Intelligence. 1 indexed citations
20.
Green, Nancy, Giuseppe Carenini, & Johanna D. Moore. (1998). Proceedings of the Ninth International Workshop on Natural Language Generation. 8 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026