Letizia Marchegiani
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Xenofon FafoutisIngmar PosnerRobert J. PiechockiPaul NewmanAtis ElstsIan CraddockJames PopeAdnan M. Abu‐Mahfouz
- Topics
- Speech and Audio Processing (6 papers)IoT and Edge/Fog Computing (5 papers)Hearing Loss and Rehabilitation (4 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionComputer Networks and Communications
- Partner nations
- DenmarkUnited KingdomItaly
In The Last Decade
Letizia Marchegiani
22 papers receiving 288 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 97
- Computer Networks and Communications 95
- Signal Processing 60
- Electrical and Electronic Engineering 57
- Artificial Intelligence 45
Countries citing papers authored by Letizia Marchegiani
This map shows the geographic impact of Letizia Marchegiani'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 Letizia Marchegiani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Letizia Marchegiani more than expected).
Fields of papers citing papers by Letizia Marchegiani
This network shows the impact of papers produced by Letizia Marchegiani. 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 Letizia Marchegiani. The network helps show where Letizia Marchegiani may publish in the future.
Co-authorship network of co-authors of Letizia Marchegiani
This figure shows the co-authorship network connecting the top 25 collaborators of Letizia Marchegiani. A scholar is included among the top collaborators of Letizia Marchegiani 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 Letizia Marchegiani. Letizia Marchegiani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | 34 | |
| 4 | 17 | |
| 5 | 7 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 55 | |
| 12 | 24 | |
| 13 | 3 | |
| 14 | 19 | |
| 15 | 9 | |
| 16 | 4 | |
| 17 | 20 | |
| 18 | 7 | |
| 19 | 1 | |
| 20 | 8 |
About Letizia Marchegiani
Letizia Marchegiani is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 23 papers that have together received 296 indexed citations. Recurring topics across this work include Speech and Audio Processing (6 papers), IoT and Edge/Fog Computing (5 papers) and Hearing Loss and Rehabilitation (4 papers). The work is most often cited by research in Signal Processing (60 citations), Computer Vision and Pattern Recognition (97 citations) and Computer Networks and Communications (95 citations). Letizia Marchegiani has collaborated with scholars based in Denmark, United Kingdom and Italy. Frequent co-authors include Xenofon Fafoutis, Ingmar Posner, Robert J. Piechocki, Paul Newman, Atis Elsts, Ian Craddock, James Pope, Adnan M. Abu‐Mahfouz, J. F. Jurado and Lars Kai Hansen. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Access and Sensors.
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.