Noa García

About

Noa García is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Noa García has authored 21 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 3 papers in Cognitive Neuroscience. Recurrent topics in Noa García’s work include Multimodal Machine Learning Applications (15 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Noa García is often cited by papers focused on Multimodal Machine Learning Applications (15 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Noa García collaborates with scholars based in Japan, United Kingdom and France. Noa García's co-authors include Yuta Nakashima, Mayu Otani, Chenhui Chu, George Vogiatzis, Haruo Takemura, Zekun Yang, Yuta Nakashima, Benjamin Renoust, Zechen Bai and Yusuke Hirota and has published in prestigious journals such as IEEE Access, Neurocomputing and Image and Vision Computing.

In The Last Decade

Co-authorship network of co-authors of Noa García i

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Fields of papers citing papers by Noa García

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Noa García

Since Specialization

Citations

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

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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