Michele Tonutti

419 total citations
4 papers, 175 citations indexed

About

Michele Tonutti is a scholar working on Artificial Intelligence, Biomedical Engineering and Surgery. According to data from OpenAlex, Michele Tonutti has authored 4 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Biomedical Engineering and 1 paper in Surgery. Recurrent topics in Michele Tonutti's work include Medical Imaging and Analysis (1 paper), Heart Failure Treatment and Management (1 paper) and Gaussian Processes and Bayesian Inference (1 paper). Michele Tonutti is often cited by papers focused on Medical Imaging and Analysis (1 paper), Heart Failure Treatment and Management (1 paper) and Gaussian Processes and Bayesian Inference (1 paper). Michele Tonutti collaborates with scholars based in United Kingdom, Netherlands and Italy. Michele Tonutti's co-authors include Guang‐Zhong Yang, Gauthier Gras, Ara Darzi, Daniel S. Elson, Mikael H. Sodergren, Emanuele Ruffaldi, Carlo Alberto Avizzano, Mark Hoogendoorn, Armand R. J. Girbes and Paul Elbers and has published in prestigious journals such as Robotics and Autonomous Systems, Postgraduate Medical Journal and Artificial Intelligence in Medicine.

In The Last Decade

Michele Tonutti

4 papers receiving 170 citations

Peers

Michele Tonutti
Michele Tonutti
Citations per year, relative to Michele Tonutti Michele Tonutti (= 1×) peers Matteo Dunnhofer

Countries citing papers authored by Michele Tonutti

Since Specialization
Citations

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

Fields of papers citing papers by Michele Tonutti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Tonutti

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

All Works

4 of 4 papers shown
1.
Thoral, Patrick, Michele Tonutti, Ronald H. Driessen, et al.. (2021). Explainable Machine Learning on AmsterdamUMCdb for ICU Discharge Decision Support: Uniting Intensivists and Data Scientists. Critical Care Explorations. 3(9). e0529–e0529. 24 indexed citations
2.
Tonutti, Michele, et al.. (2019). Robust and subject-independent driving manoeuvre anticipation through Domain-Adversarial Recurrent Neural Networks. Robotics and Autonomous Systems. 115. 162–173. 25 indexed citations
3.
Tonutti, Michele, Gauthier Gras, & Guang‐Zhong Yang. (2017). A machine learning approach for real-time modelling of tissue deformation in image-guided neurosurgery. Artificial Intelligence in Medicine. 80. 39–47. 52 indexed citations
4.
Tonutti, Michele, Daniel S. Elson, Guang‐Zhong Yang, Ara Darzi, & Mikael H. Sodergren. (2016). The role of technology in minimally invasive surgery: state of the art, recent developments and future directions. Postgraduate Medical Journal. 93(1097). 159–167. 74 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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