Karina Figueroa

519 total citations
11 papers, 114 citations indexed

About

Karina Figueroa is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Karina Figueroa has authored 11 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in Karina Figueroa's work include Advanced Image and Video Retrieval Techniques (7 papers), Data Management and Algorithms (6 papers) and Algorithms and Data Compression (4 papers). Karina Figueroa is often cited by papers focused on Advanced Image and Video Retrieval Techniques (7 papers), Data Management and Algorithms (6 papers) and Algorithms and Data Compression (4 papers). Karina Figueroa collaborates with scholars based in Mexico, Chile and Argentina. Karina Figueroa's co-authors include Gonzalo Navarro, Edgar Chávez, Rodrígo Paredes, Ramón Zataraín Cabada, María Lucía Barrón Estrada and Nora Susana Reyes and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition Letters.

In The Last Decade

Karina Figueroa

8 papers receiving 107 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karina Figueroa Mexico 4 87 80 38 20 17 11 114
Farhan Tauheed Switzerland 6 106 1.2× 43 0.5× 19 0.5× 63 3.1× 32 1.9× 15 124
Maha Charfeddine Tunisia 9 74 0.9× 190 2.4× 54 1.4× 16 0.8× 20 1.2× 31 251
Tajuddin Manhar Mohammed United States 5 43 0.5× 183 2.3× 63 1.7× 24 1.2× 18 1.1× 6 229
Frank Ramsak Germany 4 98 1.1× 21 0.3× 35 0.9× 96 4.8× 41 2.4× 7 122
AG Cohn United Kingdom 6 33 0.4× 34 0.4× 57 1.5× 41 2.0× 9 0.5× 13 102
Armin Stahl Germany 6 29 0.3× 49 0.6× 73 1.9× 41 2.0× 25 1.5× 10 136
Victor Lomné France 7 60 0.7× 80 1.0× 188 4.9× 8 0.4× 6 0.4× 14 200
Hongguo Zhao China 8 119 1.4× 291 3.6× 33 0.9× 7 0.3× 15 0.9× 17 315
Bertrand Coüasnon France 10 30 0.3× 186 2.3× 41 1.1× 6 0.3× 15 0.9× 27 206
Andras Rozsa United States 5 53 0.6× 88 1.1× 84 2.2× 6 0.3× 6 0.4× 6 131

Countries citing papers authored by Karina Figueroa

Since Specialization
Citations

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

Fields of papers citing papers by Karina Figueroa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karina Figueroa

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

All Works

11 of 11 papers shown
1.
Figueroa, Karina, et al.. (2024). LiveQuiz as Intelligent Tutor Using GenAI. 298–303.
2.
Cabada, Ramón Zataraín, María Lucía Barrón Estrada, & Karina Figueroa. (2023). Sistemas inteligentes aplicados a la educación.
3.
Figueroa, Karina, et al.. (2022). Novel Induction Blade Design for Horizontal Axis Wind Turbines to Improve Starting Phase: CFD and Testing Analysis. Journal of Applied Fluid Mechanics. 15(6). 3 indexed citations
4.
Figueroa, Karina, et al.. (2019). Ocelot identification through spots. Multimedia Tools and Applications. 78(18). 26239–26262. 1 indexed citations
5.
Figueroa, Karina, et al.. (2017). Improving the permutation-based proximity searching algorithm using zones and partial information. Pattern Recognition Letters. 95. 29–36. 1 indexed citations
6.
Figueroa, Karina, et al.. (2016). Entropy per chroma for Cover song identification. abs 1407 2433. 1–6. 1 indexed citations
7.
Reyes, Nora Susana, et al.. (2015). List of clustered permutations in secondary memory for proximity searching. SHILAP Revista de lepidopterología. 1 indexed citations
8.
Figueroa, Karina & Rodrígo Paredes. (2009). Approximate Direct and Reverse Nearest Neighbor Queries, and the k-nearest Neighbor Graph. 91–98. 3 indexed citations
9.
Figueroa, Karina, et al.. (2009). Speeding Up Permutation Based Indexing with Indexing. 807. 107–114. 8 indexed citations
10.
Figueroa, Karina, Edgar Chávez, Gonzalo Navarro, & Rodrígo Paredes. (2009). Speeding up spatial approximation search in metric spaces. ACM Journal of Experimental Algorithmics. 14. 10 indexed citations
11.
Chávez, Edgar, Karina Figueroa, & Gonzalo Navarro. (2008). Effective Proximity Retrieval by Ordering Permutations. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(9). 1647–1658. 86 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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