Carlos Alzate

1.4k total citations
36 papers, 809 citations indexed

About

Carlos Alzate is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Analytical Chemistry. According to data from OpenAlex, Carlos Alzate has authored 36 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 14 papers in Media Technology and 13 papers in Analytical Chemistry. Recurrent topics in Carlos Alzate's work include Face and Expression Recognition (15 papers), Remote-Sensing Image Classification (14 papers) and Spectroscopy and Chemometric Analyses (13 papers). Carlos Alzate is often cited by papers focused on Face and Expression Recognition (15 papers), Remote-Sensing Image Classification (14 papers) and Spectroscopy and Chemometric Analyses (13 papers). Carlos Alzate collaborates with scholars based in Belgium, Ireland and United States. Carlos Alzate's co-authors include Johan A. K. Suykens, Rocco Langone, Kristiaan Pelckmans, Mathieu Sinn, Joos Vandewalle, Fabian Ojeda, Bart De Moor, Kris De Brabanter, Jos De Brabanter and Peter Karsmakers and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Astronomy and Astrophysics.

In The Last Decade

Carlos Alzate

36 papers receiving 773 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlos Alzate Belgium 15 336 280 124 124 104 36 809
Cheong Hee Park South Korea 18 392 1.2× 260 0.9× 69 0.6× 54 0.4× 131 1.3× 63 876
Shujian Yu China 15 341 1.0× 321 1.1× 66 0.5× 99 0.8× 143 1.4× 66 872
Rocco Langone Belgium 15 338 1.0× 255 0.9× 89 0.7× 89 0.7× 50 0.5× 38 721
Zhimin Yang China 17 387 1.2× 507 1.8× 123 1.0× 51 0.4× 81 0.8× 59 1.0k
Warren Koontz United States 8 294 0.9× 261 0.9× 63 0.5× 78 0.6× 117 1.1× 18 735
Gagandeep Singh India 17 721 2.1× 580 2.1× 73 0.6× 216 1.7× 136 1.3× 55 1.3k
Frédéric Ros France 17 291 0.9× 187 0.7× 41 0.3× 31 0.3× 104 1.0× 56 627
GE Hinton Canada 6 410 1.2× 212 0.8× 113 0.9× 27 0.2× 191 1.8× 9 802
Salah Rifai Canada 5 541 1.6× 462 1.6× 69 0.6× 45 0.4× 130 1.3× 7 931

Countries citing papers authored by Carlos Alzate

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Alzate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Alzate

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Alzate. A scholar is included among the top collaborators of Carlos Alzate 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 Carlos Alzate. Carlos Alzate 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.
Alzate, Carlos, et al.. (2022). Offset-Free Nonzero Tracking for Nonlinear Impulsive Systems With Application to Biomedical Processes. IEEE Access. 10. 19697–19709. 1 indexed citations
2.
Bettencourt‐Silva, Joao H., et al.. (2020). Discovering New Social Determinants of Health Concepts from Unstructured Data: Framework and Evaluation. Studies in health technology and informatics. 270. 173–177. 13 indexed citations
3.
Alzate, Carlos, Anna Monreale, Livio Bioglio, et al.. (2019). ECML PKDD 2018 Workshops. Lecture notes in computer science. 1 indexed citations
4.
Shnarch, Eyal, Carlos Alzate, Lena Dankin, et al.. (2018). Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining. 599–605. 31 indexed citations
5.
Slonim, Noam, Ehud Aharoni, Carlos Alzate, et al.. (2014). Claims on demand -- an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora. International Conference on Computational Linguistics. 6–9. 4 indexed citations
6.
Peluffo-Ordóńez, Diego H., Carlos Alzate, Johan A. K. Suykens, & G. Castellanos-Domínguez. (2014). Optimal Data Projection for Kernel Spectral Clustering. The European Symposium on Artificial Neural Networks. 2 indexed citations
7.
Langone, Rocco, et al.. (2014). Alarm prediction in industrial machines using autoregressive LS-SVM models. Lirias (KU Leuven). 359–364. 6 indexed citations
8.
Langone, Rocco, et al.. (2014). LS-SVM based spectral clustering and regression for predicting maintenance of industrial machines. Engineering Applications of Artificial Intelligence. 37. 268–278. 67 indexed citations
9.
Alzate, Carlos & Mathieu Sinn. (2013). Improved Electricity Load Forecasting via Kernel Spectral Clustering of Smart Meters. 943–948. 42 indexed citations
10.
Langone, Rocco, Carlos Alzate, & Johan A. K. Suykens. (2013). Kernel spectral clustering with memory effect. Physica A Statistical Mechanics and its Applications. 392(10). 2588–2606. 14 indexed citations
11.
Alzate, Carlos & Johan A. K. Suykens. (2012). Hierarchical kernel spectral clustering. Neural Networks. 35. 21–30. 14 indexed citations
12.
Alzate, Carlos & Johan A. K. Suykens. (2011). Out-of-sample eigenvectors in kernel spectral clustering. 7. 2349–2356. 14 indexed citations
13.
Varon, Carolina, Carlos Alzate, Johan A. K. Suykens, & J. Debosscher. (2011). Kernel spectral clustering of time series in the CoRoT exoplanet database. Astronomy and Astrophysics. 531. A156–A156. 3 indexed citations
14.
Alzate, Carlos & Johan A. K. Suykens. (2010). Highly Sparse Kernel Spectral Clustering with Predictive Out-of-Sample Extensions. The European Symposium on Artificial Neural Networks. 235–240. 8 indexed citations
15.
Brabanter, Kris De, Peter Karsmakers, Fabian Ojeda, et al.. (2010). LS-SVMlab Toolbox User's Guide version 1.7. KTH Publication Database DiVA (KTH Royal Institute of Technology). 145 indexed citations
16.
Alzate, Carlos & Johan A. K. Suykens. (2008). A regularized kernel CCA contrast function for ICA. Neural Networks. 21(2-3). 170–181. 18 indexed citations
17.
Alzate, Carlos & Johan A. K. Suykens. (2008). Kernel Component Analysis Using an Epsilon-Insensitive Robust Loss Function. IEEE Transactions on Neural Networks. 19(9). 1583–1598. 39 indexed citations
18.
Alzate, Carlos & Johan A. K. Suykens. (2008). Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(2). 335–347. 154 indexed citations
19.
Alzate, Carlos & Johan A. K. Suykens. (2006). A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 138–144. 4 indexed citations
20.
Alzate, Carlos & Johan A. K. Suykens. (2006). A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 138–144. 16 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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