Riccardo Boscolo
- Molecular Biology
- Signal Processing top 5%
- Genetics
- Analytical Chemistry top 5%
- Artificial Intelligence
- Co-authors
- Vwani RoychowdhuryJames C. LiaoChiara SabattiLinh M. TranHong PanKaty C. KaoMichael F. McNitt‐GrayMatthew S. Brown
- Topics
- Gene Regulatory Network Analysis (4 papers)Bioinformatics and Genomic Networks (4 papers)Gene expression and cancer classification (3 papers)
- Journals
- Proceedings of the National Academy of SciencesRadiographicsIEEE/ACM Transactions on Computational Biology and Bioinformatics
- Partner nations
- United States
In The Last Decade
Riccardo Boscolo
10 papers receiving 733 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 544
- Signal Processing 112
- Genetics 74
- Analytical Chemistry 73
- Artificial Intelligence 69
Countries citing papers authored by Riccardo Boscolo
This map shows the geographic impact of Riccardo Boscolo'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 Riccardo Boscolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riccardo Boscolo more than expected).
Fields of papers citing papers by Riccardo Boscolo
This network shows the impact of papers produced by Riccardo Boscolo. 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 Riccardo Boscolo. The network helps show where Riccardo Boscolo may publish in the future.
Co-authorship network of co-authors of Riccardo Boscolo
This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Boscolo. A scholar is included among the top collaborators of Riccardo Boscolo 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 Riccardo Boscolo. Riccardo Boscolo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 28 | |
| 3 | 109 | |
| 4 | 9 | |
| 5 | 16 | |
| 6 | 432 | |
| 7 | 111 | |
| 8 | ON THE UNIQUENESS OF THE MINIMUM OF THE INFORMATION-THEORETIC COST FUNCTION FOR THE SEPARATION OF MIXTURES OF NEARLY GAUSSIAN SIGNALS | 1 |
| 9 | ROYCHOWDHURY, NETWORK COMPONENT ANALYSIS: RECONSTRUCTION OF REGULATORY SIGNALS IN BIOLOGICAL SYSTEMS | 13 |
| 10 | 32 |
About Riccardo Boscolo
Riccardo Boscolo is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 10 papers that have together received 765 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (4 papers), Bioinformatics and Genomic Networks (4 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Signal Processing (112 citations), Molecular Biology (544 citations) and Analytical Chemistry (73 citations). Riccardo Boscolo has collaborated with scholars based in United States. Frequent co-authors include Vwani Roychowdhury, James C. Liao, Chiara Sabatti, Linh M. Tran, Hong Pan, Katy C. Kao, Michael F. McNitt‐Gray, Matthew S. Brown, Y. Owechko and N. Srinivasa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Radiographics and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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.