Davide Mulfari
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Physiology
- Co-authors
- Massimo VillariAntonio CelestiAntonio PuliafitoMaria FazioLuca FanucciGabriele MeoniLorenzo CarnevaleMaurizio Giacobbe
- Topics
- Speech Recognition and Synthesis (7 papers)Context-Aware Activity Recognition Systems (7 papers)Voice and Speech Disorders (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsApplied Soft Computing
In The Last Decade
Davide Mulfari
32 papers receiving 386 citations
Peers
Comparison fields: 5 of 82
- Computer Networks and Communications 161
- Information Systems 131
- Artificial Intelligence 84
- Computer Vision and Pattern Recognition 70
- Physiology 42
Countries citing papers authored by Davide Mulfari
This map shows the geographic impact of Davide Mulfari'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 Davide Mulfari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Mulfari more than expected).
Fields of papers citing papers by Davide Mulfari
This network shows the impact of papers produced by Davide Mulfari. 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 Davide Mulfari. The network helps show where Davide Mulfari may publish in the future.
Co-authorship network of co-authors of Davide Mulfari
This figure shows the co-authorship network connecting the top 25 collaborators of Davide Mulfari. A scholar is included among the top collaborators of Davide Mulfari 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 Davide Mulfari. Davide Mulfari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 22 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 25 | |
| 9 | 60 | |
| 10 | 6 | |
| 11 | 11 | |
| 12 | 1 | |
| 13 | USING TENSORFLOW TO DESIGN ASSISTIVE TECHNOLOGIES FOR PEOPLE WITH VISUAL IMPAIRMENTS | 1 |
| 14 | 11 | |
| 15 | 37 | |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 2 | |
| 19 | 10 | |
| 20 | 2 |
About Davide Mulfari
Davide Mulfari is a scholar working on Human Factors and Ergonomics, Occupational Therapy and Human-Computer Interaction, having authored 32 papers that have together received 399 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (7 papers), Context-Aware Activity Recognition Systems (7 papers) and Voice and Speech Disorders (7 papers). The work is most often cited by research in Computer Networks and Communications (161 citations), Occupational Therapy (25 citations) and Information Systems (131 citations). Davide Mulfari has collaborated with scholars based in Italy, Russia and Norway. Frequent co-authors include Massimo Villari, Antonio Celesti, Antonio Puliafito, Maria Fazio, Luca Fanucci, Gabriele Meoni, Lorenzo Carnevale, Maurizio Giacobbe, Alfonso Panarello and Antonino Galletta. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Applied Soft Computing.
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.