Toni Giorgino

8.2k total citations · 3 hit papers
63 papers, 4.0k citations indexed

About

Toni Giorgino is a scholar working on Molecular Biology, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Toni Giorgino has authored 63 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 12 papers in Artificial Intelligence and 9 papers in Materials Chemistry. Recurrent topics in Toni Giorgino's work include Protein Structure and Dynamics (22 papers), Speech and dialogue systems (8 papers) and Time Series Analysis and Forecasting (7 papers). Toni Giorgino is often cited by papers focused on Protein Structure and Dynamics (22 papers), Speech and dialogue systems (8 papers) and Time Series Analysis and Forecasting (7 papers). Toni Giorgino collaborates with scholars based in Italy, Spain and United States. Toni Giorgino's co-authors include Gianni De Fabritiis, Ignasi Buch, Frank Noé, Silvana Quaglini, Fabian Paul, Guillermo Pérez‐Hernández, Gerard Martínez-Rosell, Timothy Bickmore, Paolo Tormene and Mario Stefanelli and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Toni Giorgino

61 papers receiving 3.9k citations

Hit Papers

Computing and Visualizing Dynamic Time Warping Alignments... 2009 2026 2014 2020 2009 2013 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toni Giorgino Italy 23 1.9k 605 420 418 330 63 4.0k
Sanghyun Park South Korea 38 2.5k 1.3× 382 0.6× 746 1.8× 346 0.8× 191 0.6× 245 4.9k
Dimitris K. Agrafiotis United Kingdom 33 1.6k 0.8× 642 1.1× 327 0.8× 2.0k 4.8× 317 1.0× 169 4.4k
Gregory D. Peterson United States 21 719 0.4× 621 1.0× 335 0.8× 271 0.6× 394 1.2× 104 4.0k
Michael S. Marshall United States 31 907 0.5× 600 1.0× 563 1.3× 279 0.7× 121 0.4× 72 4.1k
Daniel Svozil Czechia 27 2.9k 1.5× 438 0.7× 304 0.7× 406 1.0× 335 1.0× 56 4.7k
Fred A. Hamprecht Germany 36 2.4k 1.2× 689 1.1× 821 2.0× 300 0.7× 608 1.8× 140 8.7k
Pieter J. Swart United States 13 1.0k 0.5× 634 1.0× 685 1.6× 484 1.2× 338 1.0× 21 4.7k
Toshiyuki Tanaka Japan 35 876 0.5× 1.1k 1.8× 367 0.9× 95 0.2× 377 1.1× 224 4.7k
Cristian R. Munteanu Spain 29 1.2k 0.6× 223 0.4× 199 0.5× 916 2.2× 119 0.4× 122 2.4k
Álex Rodríguez Italy 21 978 0.5× 324 0.5× 1.9k 4.4× 279 0.7× 227 0.7× 70 4.8k

Countries citing papers authored by Toni Giorgino

Since Specialization
Citations

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

Fields of papers citing papers by Toni Giorgino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toni Giorgino

This figure shows the co-authorship network connecting the top 25 collaborators of Toni Giorgino. A scholar is included among the top collaborators of Toni Giorgino 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 Toni Giorgino. Toni Giorgino 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
2.
Bonati, Laura, et al.. (2024). Self-organizing maps of unbiased ligand–target binding pathways and kinetics. The Journal of Chemical Physics. 161(13). 2 indexed citations
3.
Giorgino, Toni, et al.. (2024). AlloViz: A tool for the calculation and visualisation of protein allosteric communication networks. Computational and Structural Biotechnology Journal. 23. 1938–1944. 4 indexed citations
4.
Majewski, Maciej, Adrià Pérez, Stefan H. Doerr, et al.. (2023). Machine learning coarse-grained potentials of protein thermodynamics. Nature Communications. 14(1). 5739–5739. 62 indexed citations
5.
Rasile, Marco, Eliana Lauranzano, Elisa Faggiani, et al.. (2022). Maternal immune activation leads to defective brain–blood vessels and intracerebral hemorrhages in male offspring. The EMBO Journal. 41(23). e111192–e111192. 10 indexed citations
6.
Rosa, Matteo de, Alberto Barbiroli, Francesco Bonì, et al.. (2019). The structure of N184K amyloidogenic variant of gelsolin highlights the role of the H-bond network for protein stability and aggregation properties. European Biophysics Journal. 49(1). 11–19. 5 indexed citations
7.
Giorgino, Toni. (2019). PYCV: a PLUMED 2 Module Enabling the Rapid Prototyping of Collective Variables in Python. The Journal of Open Source Software. 4(42). 1773–1773. 3 indexed citations
8.
Mazzitelli, Sonia, Fabia Filipello, Marco Rasile, et al.. (2016). Amyloid-β 1–24 C-terminal truncated fragment promotes amyloid-β 1–42 aggregate formation in the healthy brain. Acta Neuropathologica Communications. 4(1). 110–110. 26 indexed citations
9.
Pérez‐Hernández, Guillermo, et al.. (2013). Identification of slow molecular order parameters for Markov model construction. 529 indexed citations breakdown →
10.
Buch, Ignasi, Toni Giorgino, & Gianni De Fabritiis. (2011). Complete reconstruction of an enzyme-inhibitor binding process by molecular dynamics simulations. Proceedings of the National Academy of Sciences. 108(25). 10184–10189. 518 indexed citations breakdown →
11.
Giorgino, Toni. (2009). Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package. SHILAP Revista de lepidopterología. 90 indexed citations
12.
Giorgino, Toni, Paolo Tormene, F. Lorussi, Danilo De Rossi, & Silvana Quaglini. (2009). Sensor Evaluation for Wearable Strain Gauges in Neurological Rehabilitation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 17(4). 409–415. 78 indexed citations
13.
Giorgino, Toni, Paolo Tormene, G Maggioni, Caterina Pistarini, & Silvana Quaglini. (2009). Wireless Support to Poststroke Rehabilitation: MyHeart's Neurological Rehabilitation Concept. IEEE Transactions on Information Technology in Biomedicine. 13(6). 1012–1018. 20 indexed citations
14.
Giorgino, Toni, Paolo Tormene, & Silvana Quaglini. (2007). A Multivariate Time-Warping Based Classifier for Gesture Recognition with Wearable Strain Sensors. Conference proceedings. 2. 4903–4906. 9 indexed citations
15.
Rognoni, Carla, et al.. (2005). Adapting an hypertension home-monitoring system to the patient's cardiovascular risk. National Conference on Artificial Intelligence. 95–100.
16.
Falavigna, Daniele, Toni Giorgino, & Roberto Gretter. (2005). A frame based spoken dialog system for home care. 201–204. 1 indexed citations
17.
Giorgino, Toni, Silvana Quaglini, & Mario Stefanelli. (2004). Evaluation and Usage Patterns in the Homey Hypertension Management Dialog System.. National Conference on Artificial Intelligence. 32–35. 3 indexed citations
18.
Bickmore, Timothy & Toni Giorgino. (2004). Some Novel Aspects of Health Communication from a Dialogue Systems Perspective.. National Conference on Artificial Intelligence. 5–12. 14 indexed citations
19.
Giorgino, Toni, Ivano Azzini, Carla Rognoni, et al.. (2004). Automated spoken dialogue system for hypertensive patient home management. International Journal of Medical Informatics. 74(2-4). 159–167. 53 indexed citations
20.
Azzini, Ivano, Daniele Falavigna, Toni Giorgino, et al.. (2002). Home Monitoring of Hypertensive Patients through Intelligent Dialog System. PubMed Central. 967–967. 5 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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