Stefano Teso

834 total citations
34 papers, 308 citations indexed

About

Stefano Teso is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Stefano Teso has authored 34 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 5 papers in Computational Theory and Mathematics. Recurrent topics in Stefano Teso's work include Constraint Satisfaction and Optimization (9 papers), Machine Learning and Algorithms (7 papers) and AI-based Problem Solving and Planning (6 papers). Stefano Teso is often cited by papers focused on Constraint Satisfaction and Optimization (9 papers), Machine Learning and Algorithms (7 papers) and AI-based Problem Solving and Planning (6 papers). Stefano Teso collaborates with scholars based in Italy, Belgium and China. Stefano Teso's co-authors include Kristian Kersting, Andrea Passerini, Luc De Raedt, Roberto Sebastiani, Elizabeth Daly, Bruno Lepri, Oliver Hinz, Hao Xu, Qiang Shen and Jacopo Staiano and has published in prestigious journals such as BMC Bioinformatics, Artificial Intelligence and Machine Learning.

In The Last Decade

Stefano Teso

33 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefano Teso Italy 10 207 57 43 29 24 34 308
Ashwin Paranjape United States 4 195 0.9× 26 0.5× 39 0.9× 54 1.9× 20 0.8× 7 325
Viraj Kumar India 8 141 0.7× 28 0.5× 20 0.5× 116 4.0× 9 0.4× 45 397
Dónal Doyle Ireland 5 170 0.8× 94 1.6× 54 1.3× 46 1.6× 34 1.4× 9 421
Zaixi Zhang China 10 505 2.4× 82 1.4× 35 0.8× 81 2.8× 19 0.8× 16 587
Shady Shehata Canada 10 245 1.2× 37 0.6× 42 1.0× 139 4.8× 18 0.8× 23 383
Lukas Gianinazzi Switzerland 6 139 0.7× 30 0.5× 51 1.2× 28 1.0× 9 0.4× 14 225
Weijia Shi United States 9 201 1.0× 78 1.4× 29 0.7× 18 0.6× 15 0.6× 17 336
Penghe Chen China 9 281 1.4× 20 0.4× 29 0.7× 77 2.7× 9 0.4× 22 401
Ashok C. Popat United States 8 439 2.1× 31 0.5× 108 2.5× 85 2.9× 24 1.0× 17 546
Tara Safavi United States 8 226 1.1× 53 0.9× 84 2.0× 49 1.7× 30 1.3× 20 318

Countries citing papers authored by Stefano Teso

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Teso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Teso

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Teso. A scholar is included among the top collaborators of Stefano Teso 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 Teso. Stefano Teso 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.
2.
Passerini, Andrea, et al.. (2023). Interpretability Is in the Mind of the Beholder: A Causal Framework for Human-Interpretable Representation Learning. Entropy. 25(12). 1574–1574. 1 indexed citations
3.
Teso, Stefano, et al.. (2023). Leveraging explanations in interactive machine learning: An overview. Frontiers in Artificial Intelligence. 6. 1066049–1066049. 21 indexed citations
4.
Donadello, Ivan, Anthony Hunter, Stefano Teso, & Mauro Dragoni. (2022). Machine Learning for Utility Prediction in Argument-Based Computational Persuasion. Proceedings of the AAAI Conference on Artificial Intelligence. 36(5). 5592–5599. 6 indexed citations
5.
Teso, Stefano, et al.. (2021). Learning Modulo Theories for constructive preference elicitation. Artificial Intelligence. 295. 103454–103454. 2 indexed citations
6.
Vergari, Antonio, et al.. (2021). A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference. Edinburgh Research Explorer. 34. 4 indexed citations
7.
Schramowski, Patrick, et al.. (2020). Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations.. arXiv (Cornell University). 5 indexed citations
8.
Teso, Stefano, et al.. (2020). Efficient Generation of Structured Objects with Constrained Adversarial Networks. Lirias (KU Leuven). 33. 14663–14674. 2 indexed citations
9.
Teso, Stefano & Kristian Kersting. (2019). Explanatory Interactive Machine Learning. Lirias (KU Leuven). 239–245. 86 indexed citations
10.
Kumar, Mohit, Stefano Teso, & Luc De Raedt. (2019). Acquiring Integer Programs from Data. Lirias. 1130–1136. 3 indexed citations
11.
Teso, Stefano, et al.. (2019). Combining learning and constraints for genome-wide protein annotation. BMC Bioinformatics. 20(1). 338–338. 2 indexed citations
12.
Teso, Stefano, et al.. (2018). Constructive Preference Elicitation. Frontiers in Robotics and AI. 4. 8 indexed citations
13.
Teso, Stefano, et al.. (2018). Learning SMT(LRA) Constraints using SMT Solvers. Lirias. 2333–2340. 21 indexed citations
14.
Finnerty, Ailbhe N., Jacopo Staiano, Stefano Teso, et al.. (2017). Investigating the association between social interactions and personality states dynamics. Royal Society Open Science. 4(9). 170194–170194. 10 indexed citations
15.
Teso, Stefano, et al.. (2017). Coactive Critiquing: Elicitation of Preferences and Features. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 9 indexed citations
16.
Teso, Stefano, Roberto Sebastiani, & Andrea Passerini. (2015). Structured learning modulo theories. Artificial Intelligence. 244. 166–187. 26 indexed citations
17.
Teso, Stefano & Andrea Passerini. (2014). Joint probabilistic-logical refinement of multiple protein feature predictors. BMC Bioinformatics. 15(1). 16–16. 2 indexed citations
18.
Teso, Stefano, et al.. (2014). Improved multi-level protein–protein interaction prediction with semantic-based regularization. BMC Bioinformatics. 15(1). 103–103. 11 indexed citations
19.
Cilia, Elisa, Stefano Teso, Sergio Ammendola, Tom Lenaerts, & Andrea Passerini. (2014). Predicting virus mutations through statistical relational learning. BMC Bioinformatics. 15(1). 309–309. 7 indexed citations
20.
Teso, Stefano, Jacopo Staiano, Bruno Lepri, Andrea Passerini, & Fabio Pianesi. (2013). Ego-centric Graphlets for Personality and Affective States Recognition. Institutional Research Information System (Università degli Studi di Trento). 9. 874–877. 6 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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