David Buffoni
Impact in
- Artificial Intelligence top 10%
- Machine Learning and Algorithms
- Text and Document Classification Technologies
- Privacy-Preserving Technologies in Data
- Domain Adaptation and Few-Shot Learning
-
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Peer-to-Peer Network Technologies 2
- Caching and Content Delivery 2
- Network Security and Intrusion Detection 2
-
- Image and Video Quality Assessment 2
- Advanced Image and Video Retrieval Techniques 1
- Image Retrieval and Classification Techniques 1
- Co-authors
- Patrick Gallinari (4 shared papers)Nicolas Usunier (3 shared papers)Magnus Westerlund (1 shared paper)Kimmo Ahola (1 shared paper)Sasikumar Punnekkat (2 shared papers)Pierre Sens (2 shared papers)Sébastien Monnet (2 shared papers)Efi Papatheocharous (1 shared paper)
- Journals
- Multimedia Tools and Applications (1 paper)Applied Intelligence (1 paper)Lecture notes in computer science (2 papers)IFIP advances in information and communication technology (1 paper)Studies in computational intelligence (1 paper)
In The Last Decade
David Buffoni
10 papers receiving 209 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 129
- Computer Vision and Pattern Recognition 70
- Information Systems 58
- Computer Networks and Communications 55
- Signal Processing 24
Countries citing papers authored by David Buffoni
This map shows the geographic impact of David Buffoni'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 David Buffoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Buffoni more than expected).
Fields of papers citing papers by David Buffoni
This network shows the impact of papers produced by David Buffoni. 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 David Buffoni. The network helps show where David Buffoni may publish in the future.
Co-authors
The 9 scholars most cited alongside David Buffoni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 111 | |
| 2 | 2021 | 44 | |
| 3 | 2022 | 31 | |
| 4 | Learning Scoring Functions with Order-Preserving Losses and Standardized Supervision | 2011 | 16 |
| 5 | 2013 | 7 | |
| 6 | 2024 | 5 | |
| 7 | 2011 | 3 | |
| 8 | 2010 | 2 | |
| 9 | 2015 | 2 | |
| 10 | 2024 | 2 |
About David Buffoni
David Buffoni is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence and Computer Science Applications, having authored 10 papers that have together received 223 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (2 papers), Image and Video Quality Assessment (2 papers), Peer-to-Peer Network Technologies (2 papers), Caching and Content Delivery (2 papers), Network Security and Intrusion Detection (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Image Retrieval and Classification Techniques (1 paper) and Machine Learning and Data Classification (1 paper). The work is most often cited by research in Artificial Intelligence (129 citations), Computer Vision and Pattern Recognition (70 citations), Information Systems (58 citations), Computer Networks and Communications (55 citations) and Signal Processing (24 citations). David Buffoni has collaborated with scholars based in France, Sweden and Finland. Frequent co-authors include Patrick Gallinari, Nicolas Usunier, Magnus Westerlund, Kimmo Ahola, Sasikumar Punnekkat, Pierre Sens, Sébastien Monnet, Efi Papatheocharous and Karine Pires. Their work appears in journals such as Multimedia Tools and Applications, Applied Intelligence, Lecture notes in computer science, IFIP advances in information and communication technology and Studies in computational intelligence.
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.