Cristiano Russo
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Information Systems
- Signal Processing
- Computer Networks and Communications
- Co-authors
- Antonio M. RinaldiKurosh MadaniChristophe SabourinFrancesco MerollaDomenico AmalfitanoStefania StaibanoStefania TroiseLuigi Angelo Vaira
- Topics
- Image Retrieval and Classification Techniques (14 papers)Advanced Image and Video Retrieval Techniques (12 papers)Semantic Web and Ontologies (11 papers)
- Journals
- Expert Systems with ApplicationsComputers and Electronics in AgricultureJournal of Biomedical Informatics
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Cristiano Russo
29 papers receiving 182 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 116
- Artificial Intelligence 101
- Information Systems 31
- Signal Processing 20
- Computer Networks and Communications 15
Countries citing papers authored by Cristiano Russo
This map shows the geographic impact of Cristiano Russo'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 Cristiano Russo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristiano Russo more than expected).
Fields of papers citing papers by Cristiano Russo
This network shows the impact of papers produced by Cristiano Russo. 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 Cristiano Russo. The network helps show where Cristiano Russo may publish in the future.
Co-authorship network of co-authors of Cristiano Russo
This figure shows the co-authorship network connecting the top 25 collaborators of Cristiano Russo. A scholar is included among the top collaborators of Cristiano Russo 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 Cristiano Russo. Cristiano Russo 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 | 5 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 21 | |
| 13 | 0 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 5 | |
| 17 | 8 | |
| 18 | 7 | |
| 19 | 3 | |
| 20 | 14 |
About Cristiano Russo
Cristiano Russo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 33 papers that have together received 211 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (14 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Semantic Web and Ontologies (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (116 citations), Artificial Intelligence (101 citations) and Health Informatics (4 citations). Cristiano Russo has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Antonio M. Rinaldi, Kurosh Madani, Christophe Sabourin, Francesco Merolla, Domenico Amalfitano, Stefania Staibano, Stefania Troise, Luigi Angelo Vaira, Giorgio Novelli and Giovanni Dell’Aversana Orabona. Their work appears in journals such as Expert Systems with Applications, Computers and Electronics in Agriculture and Journal of Biomedical Informatics.
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.