Gianluca Della Vedova
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- Genomics and Phylogenetic Studies 30
- RNA and protein synthesis mechanisms 10
- Gene expression and cancer classification 6
- Machine Learning in Bioinformatics 5
- Genetics top 10%
- Genome Rearrangement Algorithms 6
- Genetic Associations and Epidemiology 5
- Artificial Intelligence top 5%
- Algorithms and Data Compression 14
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- Cancer Genomics and Diagnostics 10
Gianluca Della Vedova
66 papers receiving 765 citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 526
- Genetics 192
- Artificial Intelligence 214
- Cancer Research 78
- Horticulture 4
Countries citing papers authored by Gianluca Della Vedova
This map shows the geographic impact of Gianluca Della Vedova'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 Gianluca Della Vedova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianluca Della Vedova more than expected).
Fields of papers citing papers by Gianluca Della Vedova
This network shows the impact of papers produced by Gianluca Della Vedova. 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 Gianluca Della Vedova. The network helps show where Gianluca Della Vedova may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gianluca Della Vedova, 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 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 21 | |
| 4 | 2021 | 5 | |
| 5 | 2020 | 20 | |
| 6 | 2020 | 10 | |
| 7 | 2020 | 4 | |
| 8 | 2020 | 9 | |
| 9 | 2019 | 8 | |
| 10 | 2018 | 3 | |
| 11 | 2016 | 6 | |
| 12 | 2014 | 5 | |
| 13 | 2013 | 13 | |
| 14 | 2012 | 6 | |
| 15 | 2011 | 1 | |
| 16 | 2010 | 2 | |
| 17 | 2007 | 14 | |
| 18 | 2007 | 18 | |
| 19 | 2005 | 45 | |
| 20 | Multiple Sequence Alignment as a Facility Location Problem | 2000 | 1 |
About Gianluca Della Vedova
Gianluca Della Vedova is a scholar working on Cancer Research, Artificial Intelligence and Molecular Biology, having authored 68 papers that have together received 801 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (30 papers), Algorithms and Data Compression (14 papers), Cancer Genomics and Diagnostics (10 papers), RNA and protein synthesis mechanisms (10 papers), Genome Rearrangement Algorithms (6 papers), Gene expression and cancer classification (6 papers), Machine Learning in Bioinformatics (5 papers) and Genetic Associations and Epidemiology (5 papers). The work is most often cited by research in Molecular Biology (526 citations), Genetics (192 citations) and Artificial Intelligence (214 citations). Gianluca Della Vedova has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Paola Bonizzoni, Tao Jiang, James Borneman, Riccardo Dondi, Lea Valinsky, Raffaella Rizzi, Yuri Pirola, Riccardo Dondi, Marek Chrobák and Jing Li. Their work appears in journals such as Bioinformatics, Journal of Computational Biology, BMC Bioinformatics, Theoretical Computer Science 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.