Emanuele Olivetti

13.4k total citations
39 papers, 400 citations indexed

About

Emanuele Olivetti is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Emanuele Olivetti has authored 39 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 16 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Artificial Intelligence. Recurrent topics in Emanuele Olivetti's work include Advanced Neuroimaging Techniques and Applications (16 papers), Functional Brain Connectivity Studies (11 papers) and Neural dynamics and brain function (10 papers). Emanuele Olivetti is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (16 papers), Functional Brain Connectivity Studies (11 papers) and Neural dynamics and brain function (10 papers). Emanuele Olivetti collaborates with scholars based in Italy, United States and Canada. Emanuele Olivetti's co-authors include Paolo Avesani, Seyed Mostafa Kia, Eleftherios Garyfallidis, Nusrat Sharmin, Sriharsha Veeramachaneni, Silvio Sarubbo, Alessandro De Benedictis, Francesco Corsini, Franco Pestilli and Soichi Hayashi and has published in prestigious journals such as PLoS ONE, NeuroImage and IEEE Transactions on Signal Processing.

In The Last Decade

Emanuele Olivetti

38 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emanuele Olivetti Italy 11 176 164 57 51 43 39 400
Xinyuan Chen China 12 247 1.4× 116 0.7× 55 1.0× 32 0.6× 45 1.0× 26 523
D. Rodríguez United Kingdom 11 109 0.6× 157 1.0× 73 1.3× 53 1.0× 37 0.9× 23 367
Yan Tong China 10 96 0.5× 286 1.7× 26 0.5× 49 1.0× 23 0.5× 32 435
Colin J. Brown Canada 7 374 2.1× 244 1.5× 96 1.7× 35 0.7× 24 0.6× 15 620
Wenxing Hu United States 14 221 1.3× 126 0.8× 70 1.2× 21 0.4× 19 0.4× 36 523
Leon Y. Cai United States 13 170 1.0× 264 1.6× 31 0.5× 49 1.0× 37 0.9× 41 453
Alberto F. Goldszal United States 8 74 0.4× 156 1.0× 60 1.1× 123 2.4× 32 0.7× 14 385
Seungjun Ryu South Korea 8 110 0.6× 77 0.5× 74 1.3× 29 0.6× 38 0.9× 29 346
Cota Navin Gupta India 13 288 1.6× 121 0.7× 43 0.8× 11 0.2× 33 0.8× 44 663

Countries citing papers authored by Emanuele Olivetti

Since Specialization
Citations

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

Fields of papers citing papers by Emanuele Olivetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuele Olivetti

This figure shows the co-authorship network connecting the top 25 collaborators of Emanuele Olivetti. A scholar is included among the top collaborators of Emanuele Olivetti 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 Emanuele Olivetti. Emanuele Olivetti 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.
Olivetti, Emanuele, et al.. (2025). Covariance-based decoding reveals a category-specific functional connectivity network for imagined visual objects. NeuroImage. 311. 121171–121171. 1 indexed citations
2.
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
3.
Olivetti, Emanuele, et al.. (2023). Accurate localization and coactivation profiles of the frontal eye field and inferior frontal junction: an ALE and MACM fMRI meta-analysis. Brain Structure and Function. 228(3-4). 997–1017. 10 indexed citations
4.
Peruzzo, Denis, et al.. (2022). DBB - A Distorted Brain Benchmark for Automatic Tissue Segmentation in Paediatric Patients. NeuroImage. 260. 119486–119486. 9 indexed citations
5.
Bucciarelli, Alessio, Emanuele Olivetti, Andrea Adami, & Leandro Lorenzelli. (2021). Design of Experiment Rational Optimization of an Inkjet Deposition of Silver on Kapton. IEEE Sensors Journal. 21(23). 26304–26310. 8 indexed citations
6.
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
7.
Avesani, Paolo, Brent McPherson, Soichi Hayashi, et al.. (2019). The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services. Scientific Data. 6(1). 69–69. 50 indexed citations
8.
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
9.
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
10.
Vega-Pons, Sandro, Emanuele Olivetti, Paolo Avesani, et al.. (2017). Differential Effects of Brain Disorders on Structural and Functional Connectivity. Frontiers in Neuroscience. 10. 605–605. 11 indexed citations
11.
Jylänki, Pasi, et al.. (2017). Bayesian estimation of directed functional coupling from brain recordings. PLoS ONE. 12(5). e0177359–e0177359. 2 indexed citations
12.
Olivetti, Emanuele, et al.. (2017). Supervised Estimation of Granger-Based Causality between Time Series. Frontiers in Neuroinformatics. 11. 68–68. 4 indexed citations
13.
Olivetti, Emanuele, Nusrat Sharmin, & Paolo Avesani. (2016). Alignment of Tractograms As Graph Matching. Frontiers in Neuroscience. 10. 554–554. 12 indexed citations
14.
Olivetti, Emanuele & Dirk B. Walther. (2015). A Bayesian Test for Comparing Classifier Errors. 69–72. 1 indexed citations
15.
Olivetti, Emanuele, et al.. (2014). Statistical independence for the evaluation of classifier-based diagnosis. Brain Informatics. 2(1). 13–19. 8 indexed citations
16.
Olivetti, Emanuele, et al.. (2013). Fast Clustering for Interactive Tractography Segmentation. 7. 42–45. 7 indexed citations
17.
Olivetti, Emanuele, et al.. (2012). ADHD diagnosis from multiple data sources with batch effects. Frontiers in Systems Neuroscience. 6. 70–70. 18 indexed citations
18.
Kaunitz, Lisandro, Juan E. Kamienkowski, Emanuele Olivetti, et al.. (2011). Intercepting the First Pass: Rapid Categorization is Suppressed for Unseen Stimuli. Frontiers in Psychology. 2. 198–198. 12 indexed citations
19.
Olivetti, Emanuele & Paolo Avesani. (2004). Active Sampling for Data Mining. Research in computing science. 11. 313–326. 1 indexed citations
20.
Faes, Luca, Giandomenico Nollo, Emanuele Olivetti, et al.. (2001). Principal component analysis and cluster analysis for measuring the local organisation of human atrial fibrillation. Medical & Biological Engineering & Computing. 39(6). 656–663. 25 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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