Duncan D. Ruiz

1.1k total citations
64 papers, 648 citations indexed

About

Duncan D. Ruiz is a scholar working on Information Systems, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Duncan D. Ruiz has authored 64 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Information Systems, 17 papers in Artificial Intelligence and 12 papers in Molecular Biology. Recurrent topics in Duncan D. Ruiz's work include Data Mining Algorithms and Applications (12 papers), Software Engineering Research (11 papers) and Computational Drug Discovery Methods (11 papers). Duncan D. Ruiz is often cited by papers focused on Data Mining Algorithms and Applications (12 papers), Software Engineering Research (11 papers) and Computational Drug Discovery Methods (11 papers). Duncan D. Ruiz collaborates with scholars based in Brazil, United Kingdom and United States. Duncan D. Ruiz's co-authors include Rodrigo C. Barros, Osmar Norberto de Souza, Márcio P. Basgalupp, Jônatas Wehrmann, Ricardo Melo Bastos, Karina Machado, André C. P. L. F. de Carvalho, Júlia Couto, Felipe Meneguzzi and Karin Becker and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and BMC Bioinformatics.

In The Last Decade

Duncan D. Ruiz

60 papers receiving 613 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Duncan D. Ruiz Brazil 16 213 186 119 115 102 64 648
Maseud Rahgozar Iran 16 476 2.2× 279 1.5× 124 1.0× 74 0.6× 75 0.7× 75 921
Philip Bille Denmark 11 462 2.2× 176 0.9× 130 1.1× 137 1.2× 110 1.1× 45 678
Paolo Bottoni Italy 16 377 1.8× 256 1.4× 186 1.6× 134 1.2× 152 1.5× 158 935
James F. Clark United Kingdom 4 272 1.3× 241 1.3× 82 0.7× 31 0.3× 48 0.5× 6 559
Dawn Wilkins United States 14 211 1.0× 149 0.8× 175 1.5× 83 0.7× 132 1.3× 47 741
K.-P. Vo United States 6 140 0.7× 139 0.7× 121 1.0× 64 0.6× 230 2.3× 9 601
Birte Glimm Germany 15 749 3.5× 311 1.7× 200 1.7× 42 0.4× 68 0.7× 74 911
Misael Mongiovı̀ Italy 15 339 1.6× 118 0.6× 79 0.7× 21 0.2× 149 1.5× 43 687
Pieter Adriaans Netherlands 10 235 1.1× 177 1.0× 56 0.5× 76 0.7× 36 0.4× 40 513
Shashank Sheshar Singh India 18 564 2.6× 198 1.1× 178 1.5× 65 0.6× 34 0.3× 52 1.1k

Countries citing papers authored by Duncan D. Ruiz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
2.
Ruiz, Duncan D., et al.. (2023). Imagery contents descriptions for People with visual impairments. 1–12. 2 indexed citations
3.
Couto, Júlia, et al.. (2021). Challenges in using Machine Learning to Support Software Engineering. PUCRS Repository (Pontifical Catholic University of Rio Grande do Sul). 224–231. 6 indexed citations
4.
Esper, Nathália Bianchini, et al.. (2021). Visual Explanation for Identification of the Brain Bases for Developmental Dyslexia on fMRI Data. Frontiers in Computational Neuroscience. 15. 594659–594659. 13 indexed citations
5.
Couto, Júlia, et al.. (2019). mir-pucrs/smartix-rl v1.0. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
6.
Soares, Carlos, et al.. (2018). Bandit-Based Automated Machine Learning. 121–126. 5 indexed citations
7.
Ruiz, Duncan D., et al.. (2018). GAN-Based Realistic Face Pose Synthesis with Continuous Latent Code. The Florida AI Research Society. 110–115. 1 indexed citations
8.
Granada, Roger, et al.. (2017). Hybrid Activity and Plan Recognition for Video Streams. Research Explorer (The University of Manchester). 15 indexed citations
9.
Soares, Carlos, et al.. (2017). Effect of Metalearning on Feature Selection Employment.. 84–90. 1 indexed citations
10.
Wehrmann, Jônatas, et al.. (2016). (Deep) Learning from Frames. 1–6. 21 indexed citations
11.
Ruiz, Duncan D., et al.. (2015). Clustering Molecular Dynamics Trajectories for Optimizing Docking Experiments. Computational Intelligence and Neuroscience. 2015. 1–9. 45 indexed citations
12.
Ruiz, Duncan D., et al.. (2015). An Effective Approach for Clustering InhA Molecular Dynamics Trajectory Using Substrate-Binding Cavity Features. PLoS ONE. 10(7). e0133172–e0133172. 24 indexed citations
13.
Ruiz, Duncan D., et al.. (2015). Computationally-efficient classification of HEp-2 cell patterns in IIF images. 825–830. 1 indexed citations
14.
Fernandes, Paulo, et al.. (2013). Stochastic Aware Random Forests - A Variation Less Impacted by Randomness.. The Florida AI Research Society. 1 indexed citations
15.
Machado, Karina, et al.. (2011). FReDoWS: a method to automate molecular docking simulations with explicit receptor flexibility and snapshots selection. BMC Genomics. 12(S4). S6–S6. 23 indexed citations
16.
Mota, Eduardo Gonçalves, et al.. (2009). Development of an oral health database for the management of clinical records. Revista Odonto Ciência. 24(3). 249–253. 2 indexed citations
17.
Bastos, Ricardo Melo & Duncan D. Ruiz. (2005). Towards an approach to model business processes using workflow modeling techniques in production systems. 10–10. 3 indexed citations
18.
Becker, Karin, et al.. (2004). A pre-processing tool for Web usage mining in the distance education domain. 78–87. 17 indexed citations
19.
Bastos, Ricardo Melo & Duncan D. Ruiz. (2003). Extending UML activity diagram for workflow modeling in production systems. 3786–3795. 34 indexed citations
20.
Ruiz, Duncan D., et al.. (2001). Marination of fresh meats by means of spray effect. Fleischwirtschaft international. 70–74. 5 indexed citations

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.

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