Duncan D. Ruiz
- Artificial Intelligence top 5%
- Information Systems top 5%
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Rodrigo C. BarrosOsmar Norberto de SouzaMárcio P. BasgaluppJônatas WehrmannRicardo Melo BastosKarina MachadoFelipe MeneguzziJúlia Couto
- Topics
- Data Mining Algorithms and Applications (12 papers)Software Engineering Research (11 papers)Computational Drug Discovery Methods (11 papers)
- Partner nations
- BrazilUnited KingdomUnited States
In The Last Decade
Duncan D. Ruiz
60 papers receiving 613 citations
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 213
- Information Systems 186
- Molecular Biology 119
- Computational Theory and Mathematics 115
- Computer Vision and Pattern Recognition 102
Countries citing papers authored by Duncan D. Ruiz
This map shows the geographic impact of Duncan D. Ruiz'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 Duncan D. Ruiz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duncan D. Ruiz more than expected).
Fields of papers citing papers by Duncan D. Ruiz
This network shows the impact of papers produced by Duncan D. Ruiz. 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 Duncan D. Ruiz. The network helps show where Duncan D. Ruiz may publish in the future.
Co-authorship network of co-authors of Duncan D. Ruiz
This figure shows the co-authorship network connecting the top 25 collaborators of Duncan D. Ruiz. A scholar is included among the top collaborators of Duncan D. Ruiz 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 Duncan D. Ruiz. Duncan D. Ruiz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 13 | |
| 4 | 1 | |
| 5 | GAN-Based Realistic Face Pose Synthesis with Continuous Latent Code | 1 |
| 6 | 5 | |
| 7 | 7 | |
| 8 | Hybrid Activity and Plan Recognition for Video Streams | 15 |
| 9 | 21 | |
| 10 | 24 | |
| 11 | 45 | |
| 12 | Stochastic Aware Random Forests - A Variation Less Impacted by Randomness. | 1 |
| 13 | 23 | |
| 14 | 23 | |
| 15 | 26 | |
| 16 | Development of an oral health database for the management of clinical records | 2 |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 17 | |
| 20 | Marination of fresh meats by means of spray effect | 5 |
About Duncan D. Ruiz
Duncan D. Ruiz is a scholar working on Software, Management Information Systems and Information Systems, having authored 64 papers that have together received 648 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (12 papers), Software Engineering Research (11 papers) and Computational Drug Discovery Methods (11 papers). The work is most often cited by research in Software (42 citations), Information Systems (186 citations) and Computational Theory and Mathematics (115 citations). Duncan D. Ruiz has collaborated with scholars based in Brazil, United Kingdom and United States. Frequent co-authors include Rodrigo C. Barros, Osmar Norberto de Souza, Márcio P. Basgalupp, Jônatas Wehrmann, Ricardo Melo Bastos, Karina Machado, Felipe Meneguzzi, Júlia Couto, André C. P. L. F. de Carvalho and Karin Becker. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and BMC 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.