Danilo Horta
Impact in
- Genetics top 10%
- Genetic Associations and Epidemiology
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Genomics and Rare Diseases
-
- Advanced Clustering Algorithms Research
Papers in
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- Advanced Clustering Algorithms Research 8
- Genetics 4
- Genetic Associations and Epidemiology 4
- Co-authors
- Ricardo J. G. B. Campello (8 shared papers)Oliver Stegle (3 shared papers)Francesco Paolo Casale (2 shared papers)Lude Franke (1 shared paper)Inês Barroso (1 shared paper)Rachel Moore (1 shared paper)Marc Jan Bonder (1 shared paper)John C. Marioni (1 shared paper)
- Journals
- Nature Genetics (2 papers)IEEE Transactions on Computational Biology and Bioinformatics (1 paper)PLoS Genetics (1 paper)Bioinformatics (1 paper)Theoretical Computer Science (1 paper)
- Partner nations
- BrazilUnited KingdomGermany
In The Last Decade
Danilo Horta
13 papers receiving 324 citations
Peers
Comparison fields: 5 of 25
- Genetics 127
- Artificial Intelligence 57
- Biological Psychiatry 1
- Molecular Biology 49
- Clinical Psychology 8
Countries citing papers authored by Danilo Horta
This map shows the geographic impact of Danilo Horta'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 Danilo Horta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danilo Horta more than expected).
Fields of papers citing papers by Danilo Horta
This network shows the impact of papers produced by Danilo Horta. 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 Danilo Horta. The network helps show where Danilo Horta may publish in the future.
Co-authors
The 18 scholars most cited alongside Danilo Horta, 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 | 2018 | 120 | |
| 2 | 2021 | 46 | |
| 3 | 2014 | 28 | |
| 4 | 2022 | 28 | |
| 5 | 2014 | 26 | |
| 6 | 2017 | 16 | |
| 7 | 2011 | 14 | |
| 8 | 2012 | 14 | |
| 9 | 2009 | 10 | |
| 10 | 2009 | 8 | |
| 11 | Comparing hard and overlapping clusterings | 2015 | 8 |
| 12 | 2010 | 7 | |
| 13 | 2011 | 1 |
About Danilo Horta
Danilo Horta is a scholar working on Artificial Intelligence, Genetics, Molecular Biology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 13 papers that have together received 326 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (8 papers), Genetic Associations and Epidemiology (4 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Genetics (127 citations), Artificial Intelligence (57 citations), Biological Psychiatry (1 citation), Molecular Biology (49 citations) and Clinical Psychology (8 citations). Danilo Horta has collaborated with scholars based in Brazil, United Kingdom and Germany. Frequent co-authors include Ricardo J. G. B. Campello, Oliver Stegle, Francesco Paolo Casale, Lude Franke, Inês Barroso, Rachel Moore, Marc Jan Bonder, John C. Marioni, Anna S. E. Cuomo and Christian Widmer. Their work appears in journals such as Nature Genetics, IEEE Transactions on Computational Biology and Bioinformatics, PLoS Genetics, Bioinformatics and Theoretical Computer Science.
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.