Susana Vinga
- Molecular Biology top 5%
- Artificial Intelligence top 5%
- Genetics top 10%
- Epidemiology
- Infectious Diseases top 10%
- Co-authors
- Jonas S. AlmeidaAndrzej ZielezińskiWojciech M. KarłowskiAna Rute NevesMarta B. LopesHelena SantosPaula GasparRafael S. Costa
- Topics
- Bioinformatics and Genomic Networks (17 papers)Microbial Metabolic Engineering and Bioproduction (15 papers)Machine Learning in Bioinformatics (14 papers)
- Partner nations
- PortugalUnited StatesFrance
In The Last Decade
Susana Vinga
93 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Biology 1.9k
- Artificial Intelligence 309
- Genetics 242
- Epidemiology 185
- Infectious Diseases 155
Countries citing papers authored by Susana Vinga
This map shows the geographic impact of Susana Vinga'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 Susana Vinga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susana Vinga more than expected).
Fields of papers citing papers by Susana Vinga
This network shows the impact of papers produced by Susana Vinga. 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 Susana Vinga. The network helps show where Susana Vinga may publish in the future.
Co-authorship network of co-authors of Susana Vinga
This figure shows the co-authorship network connecting the top 25 collaborators of Susana Vinga. A scholar is included among the top collaborators of Susana Vinga 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 Susana Vinga. Susana Vinga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 5 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 16 | |
| 13 | 12 | |
| 14 | 2 | |
| 15 | Polynomial-time algorithm for learning optimal tree-augmented dynamic Bayesian networks | 5 |
| 16 | 12 | |
| 17 | 10 | |
| 18 | 18 | |
| 19 | 13 | |
| 20 | Alignment-free sequence comparison—a reviewbreakdown → | 549 |
About Susana Vinga
Susana Vinga is a scholar working on Molecular Biology, Virology and Statistics and Probability, having authored 95 papers that have together received 2.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (17 papers), Microbial Metabolic Engineering and Bioproduction (15 papers) and Machine Learning in Bioinformatics (14 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Artificial Intelligence (309 citations) and Genetics (242 citations). Susana Vinga has collaborated with scholars based in Portugal, United States and France. Frequent co-authors include Jonas S. Almeida, Andrzej Zieleziński, Wojciech M. Karłowski, Ana Rute Neves, Marta B. Lopes, Helena Santos, Paula Gaspar, Rafael S. Costa, András Hartmann and Hermı́nia de Lencastre. Their work appears in journals such as Nature Communications, Bioinformatics and PLoS ONE.
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.