Noé Casas

480 total citations
16 papers, 66 citations indexed

About

Noé Casas is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Noé Casas has authored 16 papers receiving a total of 66 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Ophthalmology. Recurrent topics in Noé Casas's work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Text Readability and Simplification (3 papers). Noé Casas is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Text Readability and Simplification (3 papers). Noé Casas collaborates with scholars based in Spain and United States. Noé Casas's co-authors include Marta R. Costa‐jussà, José A. R. Fonollosa, Carlos Escolano, J. A. Pajares, Gorka Labaka, Bharathi Raja Chakravarthi, Mikel Artetxe, Eneko Agirre and Mihael Arčan and has published in prestigious journals such as Neural Computing and Applications, Natural Language Engineering and ACM Transactions on Asian and Low-Resource Language Information Processing.

In The Last Decade

Noé Casas

16 papers receiving 63 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Noé Casas Spain	5	46	19	5	5	4	16	66
Daniel D’souza United States	3	32 0.7×	11 0.6×		4 0.8×	4 1.0×	3	48
Davide Testuggine United States	2	60 1.3×	37 1.9×	1 0.2×	6 1.2×	4 1.0×	2	88
Quang Pham Singapore	5	52 1.1×	27 1.4×		6 1.2×	2 0.5×	10	69
Mohammad Pezeshki Canada	2	25 0.5×	17 0.9×		4 0.8×	6 1.5×	3	52
Binjie Mao China	4	36 0.8×	37 1.9×		9 1.8×	4 1.0×	8	59
Simon Bartels Denmark	2	24 0.5×	9 0.5×		4 0.8×	3 0.8×	4	48
Tri Dao United States	6	37 0.8×	20 1.1×		9 1.8×	2 0.5×	12	74
Fereshte Khani United States	5	41 0.9×	10 0.5×		4 0.8×	3 0.8×	7	59
Nikita Dvornik Canada	3	27 0.6×	55 2.9×	2 0.4×	10 2.0×	3 0.8×	6	75
Chen-Yu Lee Taiwan	1	28 0.6×	28 1.5×	1 0.2×	3 0.6×	2 0.5×	2	55

Countries citing papers authored by Noé Casas

Since Specialization

Citations

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

Fields of papers citing papers by Noé Casas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noé Casas

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

All Works

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16 of 16 papers shown

Casas, Noé, et al.. (2022). Automated measurement of the foveal avascular zone in healthy eyes on Heidelberg spectralis optical coherence tomography angiography. Archivos de la Sociedad Española de Oftalmología (English Edition). 97(8). 432–442. 2 indexed citations

Casas, Noé, et al.. (2022). Medición automática de la zona avascular foveal de ojos sanos en angiografía por tomografía de coherencia óptica de dominio espectral Heidelberg. Archivos de la Sociedad Española de Oftalmología. 97(8). 432–442. 3 indexed citations

Artetxe, Mikel, Gorka Labaka, Noé Casas, & Eneko Agirre. (2020). Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation. arXiv (Cornell University). 2 indexed citations

Casas, Noé, et al.. (2020). Linguistic knowledge-based vocabularies for Neural Machine Translation. Natural Language Engineering. 27(4). 485–506. 2 indexed citations

Casas, Noé, José A. R. Fonollosa, & Marta R. Costa‐jussà. (2020). Syntax-driven Iterative Expansion Language Models for Controllable Text Generation. 1–10. 5 indexed citations

Casas, Noé, Marta R. Costa‐jussà, & José A. R. Fonollosa. (2020). Combining Subword Representations into Word-level Representations in the Transformer Architecture. QRU Quaderns de Recerca en Urbanisme. 2 indexed citations

Costa‐jussà, Marta R., et al.. (2020). Extensive study on the underlying gender bias in contextualized word embeddings. Neural Computing and Applications. 33(8). 3371–3384. 9 indexed citations

Costa‐jussà, Marta R., Noé Casas, Carlos Escolano, & José A. R. Fonollosa. (2019). Chinese-Catalan. ACM Transactions on Asian and Low-Resource Language Information Processing. 18(4). 1–8. 4 indexed citations

Casas, Noé, et al.. (2019). The TALP-UPC Machine Translation Systems for WMT19 News Translation Task: Pivoting Techniques for Low Resource MT. UPCommons institutional repository (Universitat Politècnica de Catalunya). 155–162. 10 indexed citations

10.

Chakravarthi, Bharathi Raja, et al.. (2019). Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models. ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway). 125–133. 8 indexed citations

11.

Casas, Noé, José A. R. Fonollosa, & Marta R. Costa‐jussà. (2018). A differentiable BLEU loss. Analysis and first results.. International Conference on Learning Representations. 4 indexed citations

12.

Costa‐jussà, Marta R., et al.. (2018). English-catalan neural machine translation in the biomedical domain through the cascade approach. 21–24. 3 indexed citations

13.

Casas, Noé, Carlos Escolano, Marta R. Costa‐jussà, & José A. R. Fonollosa. (2018). The TALP-UPC Machine Translation Systems for WMT18 News Shared Translation Task. 355–360. 1 indexed citations

14.

Casas, Noé. (2017). Deep reinforcement learning for urban traffic light control. Espacio Tiempo y Forma Serie I Prehistoria y Arqueología. 4 indexed citations

15.

Casas, Noé. (2015). Genetic Algorithms for multimodal optimization: a review. arXiv (Cornell University). 6 indexed citations

16.

Casas, Noé. (2015). A review of landmark articles in the field of co-evolutionary computing. arXiv (Cornell University). 1 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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