Daniele Toti

820 total citations
51 papers, 489 citations indexed

About

Daniele Toti is a scholar working on Artificial Intelligence, Molecular Biology and Automotive Engineering. According to data from OpenAlex, Daniele Toti has authored 51 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 23 papers in Molecular Biology and 9 papers in Automotive Engineering. Recurrent topics in Daniele Toti's work include Semantic Web and Ontologies (20 papers), Biomedical Text Mining and Ontologies (13 papers) and Protein Structure and Dynamics (9 papers). Daniele Toti is often cited by papers focused on Semantic Web and Ontologies (20 papers), Biomedical Text Mining and Ontologies (13 papers) and Protein Structure and Dynamics (9 papers). Daniele Toti collaborates with scholars based in Italy, United States and United Kingdom. Daniele Toti's co-authors include Fabio Polticelli, Andrea Pozzi, Nicola Capuano, Paolo Atzeni, Enrico Barbierato, Saverio Salerno, Scott Moura, Gerhard Goldbeck, Daniele Tessera and Marco L. Della Vedova and has published in prestigious journals such as Bioinformatics, International Journal of Molecular Sciences and Computers in Human Behavior.

In The Last Decade

Daniele Toti

48 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniele Toti Italy 13 209 141 110 51 48 51 489
Ruchi Mittal India 13 64 0.3× 97 0.7× 74 0.7× 54 1.1× 29 0.6× 55 493
Jun Ren China 11 149 0.7× 135 1.0× 57 0.5× 51 1.0× 114 2.4× 29 539
Vijil Chenthamarakshan United States 13 218 1.0× 210 1.5× 264 2.4× 81 1.6× 18 0.4× 29 708
Su Yeon Kim South Korea 11 102 0.5× 38 0.3× 41 0.4× 35 0.7× 17 0.4× 18 391
Maryam Abbasi Portugal 9 106 0.5× 34 0.2× 131 1.2× 23 0.5× 21 0.4× 55 299
Tian Xie China 12 293 1.4× 31 0.2× 56 0.5× 35 0.7× 11 0.2× 34 702
Stephanus Daniel Handoko Singapore 11 204 1.0× 156 1.1× 318 2.9× 4 0.1× 8 0.2× 18 545
Alex Zhang United States 15 140 0.7× 31 0.2× 37 0.3× 198 3.9× 20 0.4× 47 716

Countries citing papers authored by Daniele Toti

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Toti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Toti

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Toti. A scholar is included among the top collaborators of Daniele Toti 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 Daniele Toti. Daniele Toti 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.
Pozzi, Andrea, et al.. (2025). Mitigating exposure bias in large language model distillation: an imitation learning approach. Neural Computing and Applications. 37(18). 12013–12029. 3 indexed citations
2.
Barbierato, Enrico, et al.. (2025). Breaking Away From AI: The Ontological and Ethical Evolution of Machine Learning. IEEE Access. 13. 55627–55647. 7 indexed citations
3.
Goldbeck, Gerhard, et al.. (2024). Battery testing ontology: An EMMO-based semantic framework for representing knowledge in battery testing and battery quality control. Computers in Industry. 164. 104203–104203. 5 indexed citations
4.
Friis, Jesper, et al.. (2024). Elementary Multiperspective Material Ontology: Leveraging Perspectives via a Showcase of EMMO-Based Domain and Application Ontologies. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 135–142.
5.
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Pozzi, Andrea, Scott Moura, & Daniele Toti. (2023). A deep learning-based predictive controller for the optimal charging of a lithium-ion cell with non-measurable states. Computers & Chemical Engineering. 173. 108222–108222. 11 indexed citations
7.
Pozzi, Andrea, Enrico Barbierato, & Daniele Toti. (2023). Cryptoblend: An AI-Powered Tool for Aggregation and Summarization of Cryptocurrency News. Informatics. 10(1). 5–5. 5 indexed citations
8.
Zanoli, Roberto, et al.. (2023). Assessment of the E3C corpus for the recognition of disorders in clinical texts. Natural Language Engineering. 30(4). 851–869. 1 indexed citations
9.
Goldbeck, Gerhard, et al.. (2023). Modeling experts, knowledge providers and expertise in Materials Modeling: MAEO as an application ontology of EMMO’s ecosystem. Applied Ontology. 18(2). 99–118. 2 indexed citations
10.
Pozzi, Andrea, Enrico Barbierato, & Daniele Toti. (2023). Optimizing Battery Charging Using Neural Networks in the Presence of Unknown States and Parameters. Sensors. 23(9). 4404–4404. 11 indexed citations
11.
Barbierato, Enrico, et al.. (2022). A Methodology for Controlling Bias and Fairness in Synthetic Data Generation. Applied Sciences. 12(9). 4619–4619. 20 indexed citations
12.
Horsch, Martin, Daniele Toti, Silvia Chiacchiera, et al.. (2021). OSMO: Ontology for Simulation, Modelling, and Optimization. Zenodo (CERN European Organization for Nuclear Research). 2969. 1 indexed citations
13.
Horsch, Martin, Silvia Chiacchiera, Michael A. Seaton, et al.. (2021). Introduction to the VIMMP ontologies. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
14.
Toti, Daniele, et al.. (2020). DockingApp RF: A State-of-the-Art Novel Scoring Function for Molecular Docking in a User-Friendly Interface to AutoDock Vina. International Journal of Molecular Sciences. 21(24). 9548–9548. 32 indexed citations
15.
Toti, Daniele, et al.. (2019). Computational methods and tools for binding site recognition between proteins and small molecules: from classical geometrical approaches to modern machine learning strategies. Journal of Computer-Aided Molecular Design. 33(10). 887–903. 21 indexed citations
16.
Toti, Daniele, et al.. (2017). DockingApp: a user friendly interface for facilitated docking simulations with AutoDock Vina. Journal of Computer-Aided Molecular Design. 31(2). 213–218. 105 indexed citations
17.
Toti, Daniele, et al.. (2016). RAN-Map: a system for automatically producing API layers from RDF schemas. Journal of Ambient Intelligence and Humanized Computing. 8(2). 291–299. 3 indexed citations
18.
19.
Gaeta, Angelo, et al.. (2013). ARISTOTELE: An environment for managing knowledge-intensive enterprises. 289–296. 6 indexed citations
20.
Toti, Daniele, Paolo Atzeni, & Fabio Polticelli. (2012). A Knowledge Discovery Methodology for Semantic Categorization of Unstructured Textual Sources. Iris (Roma Tre University). 9. 944–951. 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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