Ignacio Sarasúa

2.6k total citations
6 papers, 49 citations indexed

About

Ignacio Sarasúa is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Geometry and Topology. According to data from OpenAlex, Ignacio Sarasúa has authored 6 papers receiving a total of 49 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Geometry and Topology. Recurrent topics in Ignacio Sarasúa's work include Domain Adaptation and Few-Shot Learning (2 papers), Morphological variations and asymmetry (1 paper) and Physiological and biochemical adaptations (1 paper). Ignacio Sarasúa is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Morphological variations and asymmetry (1 paper) and Physiological and biochemical adaptations (1 paper). Ignacio Sarasúa collaborates with scholars based in Spain, Germany and United Kingdom. Ignacio Sarasúa's co-authors include Christian Wachinger, Benjamín Gutiérrez-Becker, Sebastian Pölsterl, Carlos Barata, Sandra Brucet, Amadeu M.V.M. Soares, Melissa Faria, Narcı́s Prat, Petia Radeva and Núria Bonada‬‬‬‬‬‬‬‬‬‬‬ and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Pattern Recognition.

In The Last Decade

Ignacio Sarasúa

5 papers receiving 47 citations

Peers

Ignacio Sarasúa

ECOLO

NLC

NEURO

POLLU

BE

Rogério Luiz Iope Brazil

Élodie Puybareau France

Andrew De Vogelaere

Jeremy Karnowski United States

Jules Morel France

Christine Thai Australia

Bjarne Henning Nielsen Denmark

Lena Nicklas Austria

Andy Banegas‐Medina Chile

Rogério Luiz Iope Brazil

Ignacio Sarasúa

4 ×0.3

ECOLO

11 ×1.2

NLC

2 ×0.2

NEURO

0 ×0.0

POLLU

0 ×0.0

BE

Citations per year, relative to Ignacio Sarasúa Ignacio Sarasúa (= 1×) peers Rogério Luiz Iope

Countries citing papers authored by Ignacio Sarasúa

Since Specialization

Citations

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

Fields of papers citing papers by Ignacio Sarasúa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ignacio Sarasúa

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

All Works

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6 of 6 papers shown

1.

Sarasúa, Ignacio, et al.. (2025). Precision at scale: Domain-specific datasets on-demand. Pattern Recognition. 171. 112236–112236. 1 indexed citations

2.

Bolaños, Marc, et al.. (2023). Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition. 43–52. 7 indexed citations

3.

Sarasúa, Ignacio, et al.. (2023). All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction. 16197–16207. 4 indexed citations

4.

Sarasúa, Ignacio, Sebastian Pölsterl, & Christian Wachinger. (2022). Hippocampal representations for deep learning on Alzheimer’s disease. Scientific Reports. 12(1). 8619–8619. 7 indexed citations

5.

Gutiérrez-Becker, Benjamín, Ignacio Sarasúa, & Christian Wachinger. (2020). Discriminative and generative models for anatomical shape analysis on point clouds with deep neural networks. Medical Image Analysis. 67. 101852–101852. 11 indexed citations

6.

Faria, Melissa, Ignacio Sarasúa, Carlos Barata, et al.. (2016). Chloride and sulphate toxicity to Hydropsyche exocellata (Trichoptera, Hydropsychidae): Exploring intraspecific variation and sub-lethal endpoints. The Science of The Total Environment. 566-567. 1032–1041. 19 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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