Danilo Horta
Impact in
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- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
Papers in
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- Advanced Clustering Algorithms Research 8
- Bayesian Methods and Mixture Models 2
- Metaheuristic Optimization Algorithms Research 1
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- Data Management and Algorithms 6
- Co-authors
- Ricardo J. G. B. Campello (8 shared papers)Oliver Stegle (3 shared papers)Francesco Paolo Casale (2 shared papers)Inês Barroso (1 shared paper)Marc Jan Bonder (1 shared paper)Lude Franke (1 shared paper)Rachel Moore (1 shared paper)David Heckerman (1 shared paper)
- Journals
- Bioinformatics (1 paper)Molecular Systems Biology (1 paper)Theoretical Computer Science (1 paper)Pattern Recognition (1 paper)Nature Genetics (1 paper)
- Partner nations
- BrazilUnited KingdomGermany
In The Last Decade
Danilo Horta
12 papers receiving 254 citations
Peers
Comparison fields: 5 of 66
- Genetics 107
- Signal Processing 23
- Artificial Intelligence 63
- Molecular Biology 79
- Horticulture 1
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 20 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 | 106 | |
| 2 | 2014 | 27 | |
| 3 | 2022 | 24 | |
| 4 | 2014 | 24 | |
| 5 | 2011 | 15 | |
| 6 | 2012 | 15 | |
| 7 | 2017 | 13 | |
| 8 | 2009 | 10 | |
| 9 | Comparing hard and overlapping clusterings | 2016 | 8 |
| 10 | 2009 | 8 | |
| 11 | 2010 | 7 | |
| 12 | 2011 | 1 |
About Danilo Horta
Danilo Horta is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Molecular Biology and Genetics, having authored 12 papers that have together received 258 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (8 papers), Data Management and Algorithms (6 papers), Data Mining Algorithms and Applications (5 papers), Genetic Associations and Epidemiology (3 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Bayesian Methods and Mixture Models (2 papers), Bioinformatics and Genomic Networks (2 papers) and Metaheuristic Optimization Algorithms Research (1 paper). The work is most often cited by research in Genetics (107 citations), Signal Processing (23 citations), Artificial Intelligence (63 citations), Molecular Biology (79 citations) and Horticulture (1 citation). 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, Inês Barroso, Marc Jan Bonder, Lude Franke, Rachel Moore, David Heckerman, Anna Cuomo and Carl Kadie. Their work appears in journals such as Bioinformatics, Molecular Systems Biology, Theoretical Computer Science, Pattern Recognition and Nature Genetics.
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.