Paolo Avesani

6.4k total citations · 1 hit paper
89 papers, 2.7k citations indexed

About

Paolo Avesani is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Paolo Avesani has authored 89 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 33 papers in Cognitive Neuroscience and 25 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Paolo Avesani's work include Advanced Neuroimaging Techniques and Applications (25 papers), Functional Brain Connectivity Studies (18 papers) and Neural dynamics and brain function (14 papers). Paolo Avesani is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (25 papers), Functional Brain Connectivity Studies (18 papers) and Neural dynamics and brain function (14 papers). Paolo Avesani collaborates with scholars based in Italy, United States and France. Paolo Avesani's co-authors include Paolo Massa, Angelo Susi, Anna Perini, Emanuele Olivetti, Seyed Mostafa Kia, Roberto Tiella, Nicu Sebe, Ramanathan Subramanian, Mojtaba Khomami Abadi and Ioannis Patras and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Paolo Avesani

84 papers receiving 2.6k citations

Hit Papers

Trust-aware recommender systems 2007 2026 2013 2019 2007 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paolo Avesani Italy 23 1.3k 1.1k 575 500 469 89 2.7k
Zhendong Niu China 34 1.8k 1.4× 1.9k 1.7× 360 0.6× 389 0.8× 192 0.4× 226 4.0k
Myra Spiliopoulou Germany 27 1.2k 0.9× 1.2k 1.1× 481 0.8× 249 0.5× 223 0.5× 206 3.1k
Mohsen Jamali Canada 25 1.8k 1.3× 1.2k 1.0× 580 1.0× 587 1.2× 297 0.6× 50 3.1k
Zahid Halim Pakistan 26 414 0.3× 849 0.7× 514 0.9× 215 0.4× 102 0.2× 119 2.2k
Jun Long China 25 371 0.3× 889 0.8× 688 1.2× 158 0.3× 70 0.1× 178 2.5k
Thien Huu Nguyen United States 29 485 0.4× 2.6k 2.3× 124 0.2× 283 0.6× 87 0.2× 138 4.1k
Dawei Song China 32 791 0.6× 2.5k 2.2× 106 0.2× 819 1.6× 163 0.3× 212 4.3k
Lei Shi China 19 611 0.5× 509 0.4× 419 0.7× 324 0.6× 226 0.5× 189 1.8k
Maciej Kurant Switzerland 20 253 0.2× 404 0.4× 668 1.2× 504 1.0× 154 0.3× 34 2.5k
Blaise Agüera y Arcas United States 10 378 0.3× 2.3k 2.0× 641 1.1× 275 0.6× 185 0.4× 17 3.1k

Countries citing papers authored by Paolo Avesani

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Avesani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Avesani

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Avesani. A scholar is included among the top collaborators of Paolo Avesani 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 Paolo Avesani. Paolo Avesani 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.
Zigiotto, Luca, Ludovico Coletta, Francesco Corsini, et al.. (2025). Maximizing Tumor Resection and Managing Cognitive Attentional Outcomes: Measures of Impact of Awake Surgery in Glioma Treatment. Neurosurgery. 98(2). 365–375.
2.
Rheault, François, Erica Nocerino, Francesco Corsini, et al.. (2025). Brain dissection photogrammetry: a tool for studying human white matter connections integrating ex vivo and in vivo multimodal datasets. Nature Communications. 16(1). 9801–9801.
3.
Rheault, François, Paolo Avesani, Alessandro De Benedictis, et al.. (2025). Anatomical insights into the superior longitudinal system from integrative in- vivo and ex-vivo mapping. Communications Biology. 8(1). 1328–1328.
4.
Sarubbo, Silvio, et al.. (2024). Changing the Paradigm for Tractography Segmentation in Neurosurgery: Validation of a Streamline-Based Approach. Brain Sciences. 14(12). 1232–1232. 3 indexed citations
5.
Zigiotto, Luca, Francesco Corsini, Paolo Avesani, et al.. (2023). The arcuate fasciculus: Combining structure and function into surgical considerations. Brain and Behavior. 13(8). e3107–e3107. 5 indexed citations
6.
Petit, Laurent, Emanuele Olivetti, Silvio Sarubbo, et al.. (2023). Supervised tractogram filtering using Geometric Deep Learning. Medical Image Analysis. 90. 102893–102893. 5 indexed citations
7.
Esposito, Romina, Marta Bortoletto, Domenico Zacà, Paolo Avesani, & Carlo Miniussi. (2022). An integrated TMS-EEG and MRI approach to explore the interregional connectivity of the default mode network. Brain Structure and Function. 227(3). 1133–1144. 8 indexed citations
8.
Peruzzo, Denis, et al.. (2022). DBB - A Distorted Brain Benchmark for Automatic Tissue Segmentation in Paediatric Patients. NeuroImage. 260. 119486–119486. 9 indexed citations
9.
Zigiotto, Luca, Francesco Corsini, Paolo Avesani, et al.. (2022). Segregated circuits for phonemic and semantic fluency: A novel patient-tailored disconnection study. NeuroImage Clinical. 36. 103149–103149. 15 indexed citations
10.
Bullock, Daniel, Soichi Hayashi, Luca Zigiotto, et al.. (2020). Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation. NeuroImage. 224. 117402–117402. 25 indexed citations
11.
Benedictis, Alessandro De, Erica Nocerino, Fabio Menna, et al.. (2018). Photogrammetry of the Human Brain: A Novel Method for Three-Dimensional Quantitative Exploration of the Structural Connectivity in Neurosurgery and Neurosciences. World Neurosurgery. 115. e279–e291. 46 indexed citations
12.
Sharmin, Nusrat, Emanuele Olivetti, & Paolo Avesani. (2018). White Matter Tract Segmentation as Multiple Linear Assignment Problems. Frontiers in Neuroscience. 11. 754–754. 10 indexed citations
13.
Avesani, Paolo, et al.. (2011). Learning BOLD Response in fMRI by Reservoir Computing. 3141. 57–60. 1 indexed citations
14.
Hayes, Conor, Paolo Avesani, & Sriharsha Veeramachaneni. (2007). An analysis of the use of tags in a blog recommender system. International Joint Conference on Artificial Intelligence. 2772–2777. 25 indexed citations
15.
Avesani, Paolo, et al.. (2005). Exploiting Domain Knowledge in Requirements Prioritization.. Software Engineering and Knowledge Engineering. 27(17). 467–472. 2 indexed citations
16.
Avesani, Paolo, Fausto Giunchiglia, & Mikalai Yatskevich. (2005). A Large Scale Taxonomy Mapping Evaluation. Unitn Eprints Research (Università Degli Studi di Trento). 20 indexed citations
17.
Avesani, Paolo, et al.. (2004). Supporting the Requirements Prioritization Process. A Machine Learning approach.. Software Engineering and Knowledge Engineering. 30. 306–311. 27 indexed citations
18.
Olivetti, Emanuele & Paolo Avesani. (2004). Active Sampling for Data Mining. Research in computing science. 11. 313–326. 1 indexed citations
19.
Avesani, Paolo & Enrico Blanzieri. (1999). Adaptation-Dependent Retrieval Problem: A Formal Definition.. 3–6. 1 indexed citations
20.
Avesani, Paolo, Anna Perini, & Francesco Ricci⋆. (1998). The Twofold Integration of CBR in Decision Support Systems. 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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