Toni Giorgino
- Molecular Biology top 5%
- Materials Chemistry top 10%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 1%
- Biomedical Engineering top 10%
- Co-authors
- Gianni De FabritiisIgnasi BuchFrank NoéSilvana QuagliniFabian PaulGuillermo Pérez‐HernándezGerard Martínez-RosellTimothy Bickmore
- Topics
- Protein Structure and Dynamics (22 papers)Speech and dialogue systems (8 papers)Time Series Analysis and Forecasting (7 papers)
- Partner nations
- ItalySpainUnited States
In The Last Decade
Toni Giorgino
61 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 212
- Molecular Biology 1.9k
- Materials Chemistry 605
- Artificial Intelligence 420
- Computational Theory and Mathematics 418
- Biomedical Engineering 330
Countries citing papers authored by Toni Giorgino
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 62 | |
| 5 | 7 | |
| 6 | 17 | |
| 7 | 5 | |
| 8 | 26 | |
| 9 | Identification of slow molecular order parameters for Markov model constructionbreakdown → | 529 |
| 10 | Complete reconstruction of an enzyme-inhibitor binding process by molecular dynamics simulationsbreakdown → | 518 |
| 11 | Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package | 90 |
| 12 | 78 | |
| 13 | 20 | |
| 14 | 9 | |
| 15 | 153 | |
| 16 | Adapting an hypertension home-monitoring system to the patient's cardiovascular risk | 0 |
| 17 | Some Novel Aspects of Health Communication from a Dialogue Systems Perspective. | 14 |
| 18 | Evaluation and Usage Patterns in the Homey Hypertension Management Dialog System. | 3 |
| 19 | 53 | |
| 20 | Home Monitoring of Hypertensive Patients through Intelligent Dialog System | 5 |
About Toni Giorgino
Toni Giorgino is a scholar working on Signal Processing, Rehabilitation and Molecular Biology, having authored 63 papers that have together received 4.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (22 papers), Speech and dialogue systems (8 papers) and Time Series Analysis and Forecasting (7 papers). The work is most often cited by research in Signal Processing (308 citations), Molecular Biology (1.9k citations) and Computational Theory and Mathematics (418 citations). Toni Giorgino has collaborated with scholars based in Italy, Spain and United States. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.