Simone Bonechi

1.5k total citations
32 papers, 314 citations indexed

About

Simone Bonechi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Nuclear and High Energy Physics. According to data from OpenAlex, Simone Bonechi has authored 32 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 8 papers in Nuclear and High Energy Physics. Recurrent topics in Simone Bonechi's work include Medical Image Segmentation Techniques (6 papers), Radiation Detection and Scintillator Technologies (6 papers) and Particle Detector Development and Performance (5 papers). Simone Bonechi is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Radiation Detection and Scintillator Technologies (6 papers) and Particle Detector Development and Performance (5 papers). Simone Bonechi collaborates with scholars based in Italy, Japan and United States. Simone Bonechi's co-authors include Paolo Andreini, Monica Bianchini, Franco Scarselli, A. Mecocci, Giovanna Maria Dimitri, Andrea Sodi, A. Mecocci, Caterina Graziani, Juri Taborri and G. Calabrò and has published in prestigious journals such as Pattern Recognition, Neurocomputing and Pattern Recognition Letters.

In The Last Decade

Simone Bonechi

29 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simone Bonechi Italy 10 123 96 52 37 28 32 314
Mohammad Tariqul Islam United States 9 192 1.6× 84 0.9× 149 2.9× 36 1.0× 57 2.0× 28 421
Marinette Revenu France 10 202 1.6× 86 0.9× 119 2.3× 23 0.6× 37 1.3× 29 364
Hugues Benoit-Cattin France 8 116 0.9× 35 0.4× 158 3.0× 10 0.3× 16 0.6× 18 330
Muzaffer Özbey Türkiye 7 209 1.7× 145 1.5× 294 5.7× 22 0.6× 25 0.9× 14 532
Hasan A. Bedel Türkiye 3 164 1.3× 108 1.1× 224 4.3× 20 0.5× 18 0.6× 3 419
Mahmut Yurt United States 6 202 1.6× 112 1.2× 296 5.7× 17 0.5× 34 1.2× 17 497
Amit Mukherjee India 14 62 0.5× 175 1.8× 19 0.4× 27 0.7× 49 1.8× 42 464
W. A. Barrett United States 10 247 2.0× 32 0.3× 31 0.6× 13 0.4× 50 1.8× 33 375
James R. Clough United Kingdom 7 91 0.7× 56 0.6× 100 1.9× 23 0.6× 9 0.3× 15 268
Thomas Uram United States 10 45 0.4× 44 0.5× 15 0.3× 8 0.2× 4 0.1× 37 314

Countries citing papers authored by Simone Bonechi

Since Specialization
Citations

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

Fields of papers citing papers by Simone Bonechi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Bonechi

This figure shows the co-authorship network connecting the top 25 collaborators of Simone Bonechi. A scholar is included among the top collaborators of Simone Bonechi 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 Simone Bonechi. Simone Bonechi 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.
Andreini, Paolo, Marco Tanfoni, Simone Bonechi, & Monica Bianchini. (2025). Leveraging synthetic data for zero–shot and few–shot circle detection in real–world domains. Pattern Recognition. 172. 112407–112407.
2.
Andreini, Paolo, et al.. (2025). A smart virtual keyboard to improve communication of locked-in patients. Computer Standards & Interfaces. 93. 103963–103963. 1 indexed citations
3.
Bonechi, Simone, et al.. (2024). Diff-Props: is Semantics Preserved within a Diffusion Model?. Procedia Computer Science. 246. 5244–5253. 1 indexed citations
4.
Podda, Marco, Simone Bonechi, Andrea Palladino, et al.. (2024). Classification of Neisseria meningitidis genomes with a bag-of-words approach and machine learning. iScience. 27(3). 109257–109257. 3 indexed citations
5.
Bonechi, Simone. (2024). Development of an Automated Moderator for Deliberative Events. Electronics. 13(3). 544–544. 1 indexed citations
6.
Bonechi, Simone, et al.. (2024). Enhancing Customer Support in Banking: Leveraging AI for Efficient Ticket Classification. Procedia Computer Science. 246. 128–137. 1 indexed citations
7.
Bonechi, Simone, et al.. (2024). An analysis of pre-trained stable diffusion models through a semantic lens. Neurocomputing. 614. 128846–128846. 2 indexed citations
8.
Andreini, Paolo, Simone Bonechi, & Giovanna Maria Dimitri. (2023). Enhancing glomeruli segmentation through cross-species pre-training. Neurocomputing. 563. 126947–126947. 9 indexed citations
9.
Andreini, Paolo, Simone Bonechi, Monica Bianchini, & Filippo Geraci. (2022). MicroRNA signature for interpretable breast cancer classification with subtype clue. Use Siena air (University of Siena). 3. 100042–100042. 6 indexed citations
10.
Dimitri, Giovanna Maria, Paolo Andreini, Simone Bonechi, et al.. (2022). Deep Learning Approaches for the Segmentation of Glomeruli in Kidney Histopathological Images. Mathematics. 10(11). 1934–1934. 12 indexed citations
11.
Bonechi, Simone, et al.. (2022). Deep Learning Approaches for mice glomeruli segmentation. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 333–338. 5 indexed citations
12.
Bonechi, Simone. (2022). ISIC_WSM: Generating Weak Segmentation Maps for the ISIC archive. Neurocomputing. 523. 69–80. 6 indexed citations
13.
14.
Rossi, Alberto, Simone Bonechi, Paolo Andreini, et al.. (2020). Graph Neural Networks for the Prediction of Protein-Protein Interfaces.. Use Siena air (University of Siena). 127–132. 13 indexed citations
15.
Andreini, Paolo, Simone Bonechi, Pietro Bongini, et al.. (2020). Deep Learning Techniques for Dragonfly Action Recognition. Use Siena air (University of Siena). 3 indexed citations
16.
Andreini, Paolo, Simone Bonechi, Monica Bianchini, A. Mecocci, & Franco Scarselli. (2019). Image generation by GAN and style transfer for agar plate image segmentation. Computer Methods and Programs in Biomedicine. 184. 105268–105268. 54 indexed citations
17.
Andreini, Paolo, Simone Bonechi, Monica Bianchini, Andrea Garzelli, & A. Mecocci. (2016). Automatic image classification for the urinoculture screening. Computers in Biology and Medicine. 70. 12–22. 15 indexed citations
18.
Andreini, Paolo, Simone Bonechi, Monica Bianchini, Andrea Garzelli, & A. Mecocci. (2016). ABLE: An Automated Bacterial Load Estimator for the Urinoculture Screening. Use Siena air (University of Siena). 573–580. 1 indexed citations
19.
Marrocchesi, P. S., M. G. Bagliesi, Simone Bonechi, et al.. (2014). Charged Particle Detection with NUV-Sensitive SiPM in a Beam of Relativistic Ions. IEEE Transactions on Nuclear Science. 61(5). 2786–2793. 8 indexed citations
20.
Bagliesi, M. G., et al.. (2012). Beam test performance of SiPM-based detectors for cosmic-ray experiments. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 703. 177–182. 4 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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