Daniel Mas Montserrat

520 total citations
21 papers, 168 citations indexed

About

Daniel Mas Montserrat is a scholar working on Genetics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Mas Montserrat has authored 21 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 8 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Mas Montserrat's work include Genetic Associations and Epidemiology (6 papers), Genetic and phenotypic traits in livestock (4 papers) and Gene expression and cancer classification (4 papers). Daniel Mas Montserrat is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Genetic and phenotypic traits in livestock (4 papers) and Gene expression and cancer classification (4 papers). Daniel Mas Montserrat collaborates with scholars based in United States, Spain and United Kingdom. Daniel Mas Montserrat's co-authors include Edward J. Delp, Jan P. Allebach, Qian Lin, Alexander Ioannidis, Carlos D. Bustamante, Xavier Giró-i-Nieto, Alexander G. Ioannidis, Qian Lin, Carol J. Boushey and David Güera and has published in prestigious journals such as Bioinformatics, IEEE Access and PLoS Computational Biology.

In The Last Decade

Daniel Mas Montserrat

19 papers receiving 165 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Mas Montserrat United States	8	54	42	40	38	12	21	168
Monika Sharma India	6	97 1.8×	69 1.6×	58 1.4×	65 1.7×	24 2.0×	15	270
David Rawlinson Australia	9	54 1.0×	28 0.7×	64 1.6×	64 1.7×	18 1.5×	19	259
Guang Huo China	9	109 2.0×	23 0.5×	18 0.5×	32 0.8×	35 2.9×	28	264
W. J. Zhu China	8	40 0.7×	12 0.3×	106 2.6×	63 1.7×	19 1.6×	36	216
Oindrila Saha United States	4	23 0.4×	33 0.8×	35 0.9×	40 1.1×	16 1.3×	5	82
S. M. Mahedy Hasan Bangladesh	12	44 0.8×	139 3.3×	15 0.4×	10 0.3×	18 1.5×	64	340
Longxi Zhou Saudi Arabia	7	34 0.6×	130 3.1×	10 0.3×	24 0.6×	67 5.6×	13	328
Sarah Taghavi Namin Australia	7	45 0.8×	23 0.5×	16 0.4×	16 0.4×	105 8.8×	9	214

Countries citing papers authored by Daniel Mas Montserrat

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Mas Montserrat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Mas Montserrat. 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 Daniel Mas Montserrat. The network helps show where Daniel Mas Montserrat may publish in the future.

Co-authorship network of co-authors of Daniel Mas Montserrat

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Mas Montserrat. A scholar is included among the top collaborators of Daniel Mas Montserrat 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 Daniel Mas Montserrat. Daniel Mas Montserrat 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

Montserrat, Daniel Mas, et al.. (2025). Compressive Meta-Learning. ArXiv.org. 2102–2113.

Moreno–Grau, Sonia, Arturo López Pineda, Daniel Mas Montserrat, et al.. (2024). Polygenic risk score portability for common diseases across genetically diverse populations. Human Genomics. 18(1). 93–93. 9 indexed citations

Montserrat, Daniel Mas, et al.. (2024). HyperFast: Instant Classification for Tabular Data. Proceedings of the AAAI Conference on Artificial Intelligence. 38(10). 11114–11123. 4 indexed citations

Perera, María, et al.. (2024). Advances in Biomedical Missing Data Imputation: A Survey. IEEE Access. 13. 16918–16932. 1 indexed citations

Montserrat, Daniel Mas, et al.. (2023). Assessing Tree-Based Phenotype Prediction on the UK Biobank.

Montserrat, Daniel Mas, et al.. (2023). Neural ADMIXTURE for rapid genomic clustering. Nature Computational Science. 3(7). 621–629. 12 indexed citations

Montserrat, Daniel Mas & Alexander Ioannidis. (2023). Adversarial Attacks on Genotype Sequences. 1–5. 3 indexed citations

Bustamante, Carlos D., et al.. (2022). Archetypal Analysis for population genetics. PLoS Computational Biology. 18(8). e1010301–e1010301. 11 indexed citations

Perera, María, et al.. (2022). Generative Moment Matching Networks for Genotype Simulation. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 1379–1383. 6 indexed citations

10.

Montserrat, Daniel Mas, et al.. (2022). Predicting Dog Phenotypes from Genotypes. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 106. 3558–3562. 4 indexed citations

11.

Montserrat, Daniel Mas, et al.. (2022). SALAI-Net: species-agnostic local ancestry inference network. Bioinformatics. 38(Supplement_2). ii27–ii33. 10 indexed citations

12.

Montserrat, Daniel Mas, et al.. (2021). Saliency-Aware Class-Agnostic Food Image Segmentation. 2(3). 1–17. 9 indexed citations

13.

Baireddy, Sriram, et al.. (2021). Open-Set Source Attribution for Panchromatic Satellite Imagery. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 3038–3042. 4 indexed citations

14.

Montserrat, Daniel Mas, Carlos D. Bustamante, & Alexander Ioannidis. (2020). Lai-Net: Local-Ancestry Inference with Neural Networks. arXiv (Cornell University). 1314–1318. 9 indexed citations

15.

Ho, David Joon, et al.. (2020). Sphere estimation network: three-dimensional nuclei detection of fluorescence microscopy images. Journal of Medical Imaging. 7(4). 44003–44003. 3 indexed citations

16.

Güera, David, Daniel Mas Montserrat, Fengqing Zhu, et al.. (2019). Shadow Removal Detection and Localization for Forensics Analysis. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 2677–2681. 6 indexed citations

17.

Montserrat, Daniel Mas, Qian Lin, Jan P. Allebach, & Edward J. Delp. (2018). Scalable Logo Detection and Recognition with Minimal Labeling. 1. 152–157. 3 indexed citations

18.

Montserrat, Daniel Mas, et al.. (2018). Sleep Analysis Using Motion and Head Detection. 4. 29–32. 3 indexed citations

19.

Montserrat, Daniel Mas, Qian Lin, Jan P. Allebach, & Edward J. Delp. (2018). Logo detection and recognition with synthetic images. Electronic Imaging. 30(10). 337–1. 15 indexed citations

20.

Montserrat, Daniel Mas, Qian Lin, Jan P. Allebach, & Edward J. Delp. (2017). Training Object Detection And Recognition CNN Models Using Data Augmentation. Electronic Imaging. 29(10). 27–36. 54 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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