Eder Santana

835 total citations
8 papers, 41 citations indexed

About

Eder Santana is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Eder Santana has authored 8 papers receiving a total of 41 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Eder Santana's work include Blind Source Separation Techniques (3 papers), Neural Networks and Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Eder Santana is often cited by papers focused on Blind Source Separation Techniques (3 papers), Neural Networks and Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Eder Santana collaborates with scholars based in United States, Brazil and Chile. Eder Santana's co-authors include José C. Prı́ncipe, Shujian Yu, Raimundo C. S. Freire, Allan Kardec Barros, Pablo Zegers, Nina Thigpen, Austin J. Brockmeier, Andreas Keil, Miriam A. M. Capretz and Luisa Helena Bartocci Liboni and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Eder Santana

8 papers receiving 40 citations

Peers

Eder Santana

AI

CVPR

SP

EEE

CM

Emilie Morvant France

Ngoc Khanh Nguyen Switzerland

C. Chi Taiwan

Tamara Mchedlidze Germany

Lea Schönherr Germany

Łukasz Lew United States

B. S. Shan China

Shagun Sodhani Canada

Dalia El Badawy Switzerland

Jessica Sidman United States

Emilie Morvant France

Eder Santana

55 ×3.2

AI

18 ×1.8

CVPR

6 ×0.6

SP

6 ×0.9

EEE

2 ×0.3

CM

Citations per year, relative to Eder Santana Eder Santana (= 1×) peers Emilie Morvant

Countries citing papers authored by Eder Santana

Since Specialization

Citations

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

Fields of papers citing papers by Eder Santana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eder Santana

This figure shows the co-authorship network connecting the top 25 collaborators of Eder Santana. A scholar is included among the top collaborators of Eder Santana 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 Eder Santana. Eder Santana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Santana, Eder, et al.. (2023). Dynamic Successor Features for transfer learning and guided exploration. Knowledge-Based Systems. 267. 110401–110401. 1 indexed citations

2.

Santana, Eder, et al.. (2018). A flexible testing environment for visual question answering with performance evaluation. Neurocomputing. 291. 128–135. 5 indexed citations

3.

Yu, Shujian, et al.. (2017). Autoencoders trained with relevant information: Blending Shannon and Wiener's perspectives. 2. 6115–6119. 8 indexed citations

4.

Santana, Eder, et al.. (2017). Exploiting Spatio-Temporal Structure With Recurrent Winner-Take-All Networks. IEEE Transactions on Neural Networks and Learning Systems. 29(8). 3738–3746. 6 indexed citations

5.

Santana, Eder, et al.. (2016). Predicting visual attention using gamma kernels. 10. 1606–1610. 6 indexed citations

6.

Santana, Eder, Austin J. Brockmeier, & José C. Prı́ncipe. (2014). Joint optimization of algorithmic suites for EEG analysis. PubMed. 11. 2997–3000. 4 indexed citations

7.

Santana, Eder, et al.. (2012). Extraction of signals with higher order temporal structure using Correntropy. Signal Processing. 92(8). 1844–1852. 3 indexed citations

8.

Santana, Eder, et al.. (2010). Extraction of Signals With Specific Temporal Structure Using Kernel Methods. IEEE Transactions on Signal Processing. 58(10). 5142–5150. 8 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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