Idoia Ochoa

966 total citations
51 papers, 467 citations indexed

About

Idoia Ochoa is a scholar working on Molecular Biology, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Idoia Ochoa has authored 51 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 24 papers in Artificial Intelligence and 12 papers in Computer Networks and Communications. Recurrent topics in Idoia Ochoa's work include Algorithms and Data Compression (21 papers), Genomics and Phylogenetic Studies (20 papers) and Gene expression and cancer classification (8 papers). Idoia Ochoa is often cited by papers focused on Algorithms and Data Compression (21 papers), Genomics and Phylogenetic Studies (20 papers) and Gene expression and cancer classification (8 papers). Idoia Ochoa collaborates with scholars based in United States, Spain and Belgium. Idoia Ochoa's co-authors include Mikel Hernáez, Tsachy Weissman, Kedar Tatwawadi, Shubham Chandak, Dmitri S. Pavlichin, Rachel L. Goldfeder, Euan A. Ashley, Karthik Ganesan, Golan Yona and Łukasz Roguski and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Idoia Ochoa

44 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Idoia Ochoa United States	11	321	302	142	47	28	51	467
Alexandru I. Tomescu Finland	11	236 0.7×	147 0.5×	34 0.2×	20 0.4×	15 0.5×	68	437
Liang Huai Yang China	10	152 0.5×	121 0.4×	143 1.0×	27 0.6×	32 1.1×	37	406
Can Fırtına Switzerland	11	230 0.7×	117 0.4×	83 0.6×	17 0.4×	10 0.4×	25	353
Christos Kozanitis Greece	11	185 0.6×	167 0.6×	141 1.0×	21 0.4×	20 0.7×	22	359
Alba Cristina Magalhães Alves de Melo Brazil	14	352 1.1×	338 1.1×	204 1.4×	5 0.1×	41 1.5×	89	658
Vincenzo Bonnici Italy	11	226 0.7×	132 0.4×	33 0.2×	83 1.8×	145 5.2×	30	432
Simone Leo Italy	10	271 0.8×	96 0.3×	113 0.8×	25 0.5×	14 0.5×	23	517
Ranjan Sinha Australia	12	151 0.5×	169 0.6×	106 0.7×	10 0.2×	119 4.3×	20	415
Sriram P. Chockalingam United States	9	207 0.6×	88 0.3×	28 0.2×	22 0.5×	23 0.8×	22	308

Countries citing papers authored by Idoia Ochoa

Since Specialization

Citations

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

Fields of papers citing papers by Idoia Ochoa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Idoia Ochoa

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

All Works

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20 of 20 papers shown

Ochoa, Idoia, et al.. (2025). ReX: Causal discovery based on machine learning and explainability techniques. Pattern Recognition. 172. 112491–112491. 1 indexed citations

Hart, A. A. M., et al.. (2025). Pharming: Joint Clonal Tree Reconstruction of Single-Nucleotide Variant and Copy Number Aberration Evolution from Single-Cell DNA Sequencing of Tumors. Journal of Computational Biology. 33(1). 2–18.

Vascon, Sebastiano, et al.. (2025). RAT-CC: A Recurrent Autoencoder for Time-Series Compression and Classification. IEEE Access. 13. 51693–51701.

Serrano, Guillermo, Marija Pizurica, Leonor Puchades‐Carrasco, et al.. (2025). Towards a more inductive world for drug repurposing approaches. Nature Machine Intelligence. 7(3). 495–508.

Gevaert, Olivier, et al.. (2025). Leveraging multiple labeled datasets for the automated annotation of single-cell RNA and ATAC data. Computational and Structural Biotechnology Journal. 27. 2863–2870.

Santamaría, Eva, Enrique Goñi, Ibón Tamayo, et al.. (2024). Application of Graph Models to the Identification of Transcriptomic Oncometabolic Pathways in Human Hepatocellular Carcinoma. Biomolecules. 14(6). 653–653. 2 indexed citations

Ochoa, Idoia, et al.. (2024). Convolutional Neural Networks for Chipless RFID Classification in the Time-Frequency Domain. 1245–1246.

Serrano, Guillermo, Marija Pizurica, Antonio Pineda‐Lucena, et al.. (2023). Ge N Nius : an ultrafast drug–target interaction inference method based on graph neural networks. Bioinformatics. 40(1). 9 indexed citations

Ochoa, Idoia, et al.. (2023). Phertilizer: Growing a clonal tree from ultra-low coverage single-cell DNA sequencing of tumors. PLoS Computational Biology. 19(10). e1011544–e1011544. 8 indexed citations

10.

Ochoa, Idoia, et al.. (2022). Nanopore quality score resolution can be reduced with little effect on downstream analysis. Bioinformatics Advances. 2(1). vbac054–vbac054. 5 indexed citations

11.

Serrano, Guillermo, et al.. (2022). JIND: joint integration and discrimination for automated single-cell annotation. Bioinformatics. 38(9). 2488–2495. 7 indexed citations

12.

Peng, Jianhao, Guillermo Serrano, Ian M. Traniello, et al.. (2022). SimiC enables the inference of complex gene regulatory dynamics across cell phenotypes. Communications Biology. 5(1). 351–351. 2 indexed citations

13.

Ochoa, Idoia, et al.. (2020). GPress: a framework for querying general feature format (GFF) files and expression files in a compressed form. Bioinformatics. 36(18). 4810–4812. 1 indexed citations

14.

Ochoa, Idoia, et al.. (2019). VEF: a variant filtering tool based on ensemble methods. Bioinformatics. 36(8). 2328–2336. 2 indexed citations

15.

Mainzer, Liudmila S., et al.. (2019). GABAC: an arithmetic coding solution for genomic data. Bioinformatics. 36(7). 2275–2277. 5 indexed citations

16.

Ochoa, Idoia, et al.. (2019). Denoising of Aligned Genomic Data. Scientific Reports. 9(1). 15067–15067. 5 indexed citations

17.

Roguski, Łukasz, Idoia Ochoa, Mikel Hernáez, & Sebastian Deorowicz. (2018). FaStore: a space-saving solution for raw sequencing data. Bioinformatics. 34(16). 2748–2756. 28 indexed citations

18.

Hernáez, Mikel, et al.. (2017). GeneComp, a New Reference-Based Compressor for SAM Files. PubMed. 2017. 330–339. 5 indexed citations

19.

Hernáez, Mikel, Idoia Ochoa, & Tsachy Weissman. (2016). A Cluster-Based Approach to Compression of Quality Scores. PubMed. 2016. 261–270. 10 indexed citations

20.

Ochoa, Idoia, Himanshu Asnani, Dinesh Bharadia, et al.. (2013). QualComp: a new lossy compressor for quality scores based on rate distortion theory. BMC Bioinformatics. 14(1). 187–187. 42 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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