Rómer Rosales

2.9k total citations
39 papers, 1.6k citations indexed

About

Rómer Rosales is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications. According to data from OpenAlex, Rómer Rosales has authored 39 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 7 papers in Computer Science Applications. Recurrent topics in Rómer Rosales's work include Machine Learning and Algorithms (11 papers), Mobile Crowdsensing and Crowdsourcing (7 papers) and Human Pose and Action Recognition (6 papers). Rómer Rosales is often cited by papers focused on Machine Learning and Algorithms (11 papers), Mobile Crowdsensing and Crowdsourcing (7 papers) and Human Pose and Action Recognition (6 papers). Rómer Rosales collaborates with scholars based in United States, Germany and Canada. Rómer Rosales's co-authors include Glenn Fung, Jennifer Dy, Stan Sclaroff, R. Bharat Rao, Eren Manavoglu, Olivier Chapelle, Yan Yan, Yan Yan, Balaji Krishnapuram and Shipeng Yu and has published in prestigious journals such as International Journal of Computer Vision, IEEE Transactions on Knowledge and Data Engineering and Machine Learning.

In The Last Decade

Rómer Rosales

39 papers receiving 1.5k citations

Peers

Rómer Rosales
Dymitr Ruta United Arab Emirates
Lihong Li United States
Erheng Zhong Hong Kong
Erin Renshaw United States
Javed A. Aslam United States
Bin Cao China
Rómer Rosales
Citations per year, relative to Rómer Rosales Rómer Rosales (= 1×) peers Chaoqun Li

Countries citing papers authored by Rómer Rosales

Since Specialization
Citations

This map shows the geographic impact of Rómer Rosales'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 Rómer Rosales with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rómer Rosales more than expected).

Fields of papers citing papers by Rómer Rosales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rómer Rosales. 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 Rómer Rosales. The network helps show where Rómer Rosales may publish in the future.

Co-authorship network of co-authors of Rómer Rosales

This figure shows the co-authorship network connecting the top 25 collaborators of Rómer Rosales. A scholar is included among the top collaborators of Rómer Rosales 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 Rómer Rosales. Rómer Rosales 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
1.
Fern, Xiaoli Z., et al.. (2016). Comparing Clustering with Pairwise and Relative Constraints. ACM Transactions on Knowledge Discovery from Data. 11(2). 1–26. 7 indexed citations
2.
Gupta, Rupesh, et al.. (2016). Email Volume Optimization at LinkedIn. 97–106. 19 indexed citations
3.
Shi, Yu, et al.. (2016). Dynamics of Large Multi-View Social Networks. PubMed. 2016. 1855–1864. 6 indexed citations
4.
Rosales, Rómer, et al.. (2015). Active Learning from Relative Comparisons. IEEE Transactions on Knowledge and Data Engineering. 27(12). 3166–3175. 7 indexed citations
5.
Yan, Yan, Rómer Rosales, Glenn Fung, & Jennifer Dy. (2014). Active learning from uncertain crowd annotations. 4. 385–392. 1 indexed citations
6.
Yan, Yan, Rómer Rosales, Glenn Fung, Ramanathan Subramanian, & Jennifer Dy. (2013). Learning from multiple annotators with varying expertise. Machine Learning. 95(3). 291–327. 99 indexed citations
7.
Yan, Yan, et al.. (2012). Active Learning from Multiple Knowledge Sources. International Conference on Artificial Intelligence and Statistics. 1350–1357. 27 indexed citations
8.
Rosales, Rómer, Haibin Cheng, & Eren Manavoglu. (2012). Post-click conversion modeling and analysis for non-guaranteed delivery display advertising. 293–302. 52 indexed citations
9.
Yu, Shipeng, Balaji Krishnapuram, Rómer Rosales, & R. Bharat Rao. (2011). Bayesian Co-Training. Journal of Machine Learning Research. 12(80). 2649–2680. 80 indexed citations
10.
Yan, Yan, Rómer Rosales, Glenn Fung, & Jennifer Dy. (2010). Modeling multiple annotator expertise in the semi-supervised learning scenario. Uncertainty in Artificial Intelligence. 674–682. 20 indexed citations
11.
Yan, Yan, Rómer Rosales, Glenn Fung, et al.. (2010). Modeling annotator expertise: Learning when everybody knows a bit of something. International Conference on Artificial Intelligence and Statistics. 932–939. 113 indexed citations
12.
Rao, R. Bharat, Glenn Fung, & Rómer Rosales. (2008). On the Dangers of Cross-Validation. An Experimental Evaluation. 588–596. 143 indexed citations
13.
Fung, Glenn, Sriram Krishnan, Rómer Rosales, et al.. (2007). Automated heart wall motion abnormality detection from ultrasound images using Bayesian networks. International Joint Conference on Artificial Intelligence. 519–525. 33 indexed citations
14.
Fung, Glenn, Rómer Rosales, & R. Bharat Rao. (2007). Feature selection and kernel design via linear programming. International Joint Conference on Artificial Intelligence. 786–791. 6 indexed citations
15.
Rosales, Rómer & Glenn Fung. (2006). Learning sparse metrics via linear programming. 367–373. 56 indexed citations
16.
Fung, Glenn, Rómer Rosales, & Balaji Krishnapuram. (2005). Learning Rankings via Convex Hull Separation. Neural Information Processing Systems. 18. 395–402. 22 indexed citations
17.
Rosales, Rómer, Kannan Achan, & Brendan J. Frey. (2004). Learning to cluster using local neighborhood structure. 87–87. 5 indexed citations
18.
Rosales, Rómer, Kannan Achan, & Brendan J. Frey. (2003). Unsupervised Image Translation. 472–478. 2 indexed citations
19.
Rosales, Rómer & Stan Sclaroff. (2003). A framework for heading-guided recognition of human activity. Computer Vision and Image Understanding. 91(3). 335–367. 15 indexed citations
20.
Rosales, Rómer & Stan Sclaroff. (2001). Learning Body Pose via Specialized Maps. Neural Information Processing Systems. 14. 1263–1270. 68 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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