Lucia D’Acunto
- Computer Networks and Communications top 10%
- Sociology and Political Science top 10%
- Communication top 5%
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Kari KarppinenNatali HelbergerHenk SipsJohan PouwelseTamás VinkóOmar NiamutM. MeulpolderDick Epema
- Topics
- Caching and Content Delivery (13 papers)Peer-to-Peer Network Technologies (9 papers)Image and Video Quality Assessment (6 papers)
- Partner nations
- NetherlandsSlovakiaFinland
In The Last Decade
Lucia D’Acunto
21 papers receiving 370 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Computer Networks and Communications 160
- Sociology and Political Science 139
- Communication 89
- Artificial Intelligence 78
- Computer Vision and Pattern Recognition 60
Countries citing papers authored by Lucia D’Acunto
This map shows the geographic impact of Lucia D’Acunto'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 Lucia D’Acunto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucia D’Acunto more than expected).
Fields of papers citing papers by Lucia D’Acunto
This network shows the impact of papers produced by Lucia D’Acunto. 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 Lucia D’Acunto. The network helps show where Lucia D’Acunto may publish in the future.
Co-authorship network of co-authors of Lucia D’Acunto
This figure shows the co-authorship network connecting the top 25 collaborators of Lucia D’Acunto. A scholar is included among the top collaborators of Lucia D’Acunto 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 Lucia D’Acunto. Lucia D’Acunto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | Exposure diversity as a design principle for recommender systemsbreakdown → | 208 |
| 6 | 38 | |
| 7 | 11 | |
| 8 | iCaCoT: Interactive camera-based coaching and training | 1 |
| 9 | 2 | |
| 10 | Immersive Live Event Experiences - Interactive UHDTV on Mobile Devices | 1 |
| 11 | 2 | |
| 12 | 21 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 9 | |
| 17 | Public and private BitTorrent communities: a measurement study | 45 |
| 18 | 8 | |
| 19 | 9 | |
| 20 | 22 |
About Lucia D’Acunto
Lucia D’Acunto is a scholar working on Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 400 indexed citations. Recurring topics across this work include Caching and Content Delivery (13 papers), Peer-to-Peer Network Technologies (9 papers) and Image and Video Quality Assessment (6 papers). The work is most often cited by research in Communication (89 citations), Computer Networks and Communications (160 citations) and Safety Research (38 citations). Lucia D’Acunto has collaborated with scholars based in Netherlands, Slovakia and Finland. Frequent co-authors include Kari Karppinen, Natali Helberger, Henk Sips, Johan Pouwelse, Tamás Vinkó, Omar Niamut, M. Meulpolder, Dick Epema, Mihai Capotă and Nazareno Andrade. Their work appears in journals such as Computer Networks, Information Communication & Society and Computer 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.