S. Eyheramendy

12.2k total citations
32 papers, 592 citations indexed

About

S. Eyheramendy is a scholar working on Genetics, Astronomy and Astrophysics and Instrumentation. According to data from OpenAlex, S. Eyheramendy has authored 32 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 7 papers in Astronomy and Astrophysics and 5 papers in Instrumentation. Recurrent topics in S. Eyheramendy's work include Genetic Associations and Epidemiology (6 papers), Stellar, planetary, and galactic studies (5 papers) and Astronomy and Astrophysical Research (5 papers). S. Eyheramendy is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Stellar, planetary, and galactic studies (5 papers) and Astronomy and Astrophysical Research (5 papers). S. Eyheramendy collaborates with scholars based in Chile, United States and United Kingdom. S. Eyheramendy's co-authors include David Madigan, David Lewis, Andrés Jordán, Cecilia Vial, Felipe I. Martínez, Gabriela M. Repetto, Eric W. Peng, Patrick Côté, John P. Blakeslee and Laura Ferrarese and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

S. Eyheramendy

29 papers receiving 564 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Eyheramendy Chile 11 225 111 109 96 56 32 592
Ekta Patel United States 15 326 1.4× 165 1.5× 5 0.0× 63 0.7× 12 0.2× 54 572
Niall Gaffney United States 12 323 1.4× 146 1.3× 28 0.3× 6 0.1× 70 1.3× 27 552
Lisa Johnston United States 17 54 0.2× 14 0.1× 75 0.7× 23 0.2× 364 6.5× 73 787
A. R. Taylor South Africa 20 918 4.1× 95 0.9× 19 0.2× 36 0.4× 4 0.1× 77 1.1k
Wenting Wang China 24 1.3k 5.7× 662 6.0× 56 0.5× 34 0.4× 5 0.1× 70 1.6k
G. Cabrera-Vives Chile 10 255 1.1× 71 0.6× 37 0.3× 2 0.0× 5 0.1× 36 411
T. Lu China 27 1.6k 7.2× 60 0.5× 18 0.2× 13 0.1× 84 1.5× 108 2.1k
Alex Cole United States 12 140 0.6× 18 0.2× 38 0.3× 91 0.9× 2 0.0× 32 600
Sang Chul Kim South Korea 17 660 2.9× 266 2.4× 8 0.1× 13 0.1× 6 0.1× 57 829
Asis Kumar Chattopadhyay India 11 50 0.2× 27 0.2× 38 0.3× 6 0.1× 7 0.1× 38 270

Countries citing papers authored by S. Eyheramendy

Since Specialization
Citations

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

Fields of papers citing papers by S. Eyheramendy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Eyheramendy

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

All Works

20 of 20 papers shown
1.
Fuentes, Ignacio, et al.. (2024). Is the change deforestation? Using time-series analysis of satellite data to disentangle deforestation from other forest degradation causes. Remote Sensing Applications Society and Environment. 35. 101210–101210. 3 indexed citations
2.
3.
Goñi, Julián, et al.. (2023). Natural language processing analysis of the psychosocial stressors of mental health disorders during the pandemic. SHILAP Revista de lepidopterología. 2(1). 17–17. 3 indexed citations
4.
Vicuña, Lucas, Tomás Norambuena, Danilo Alvares, et al.. (2023). New insights from GWAS on BMI-related growth traits in a longitudinal cohort of admixed children with Native American and European ancestry. iScience. 26(2). 106091–106091. 3 indexed citations
5.
Eyheramendy, S., Pedro A. Saa, Eduardo A. Undurraga, et al.. (2021). Screening of COVID-19 cases through a Bayesian network symptoms model and psychophysical olfactory test. iScience. 24(12). 103419–103419. 2 indexed citations
6.
Sanchéz-Sáez, P., Luis Martí, Nayat Sánchez-Pi, et al.. (2021). Searching for Changing-state AGNs in Massive Data Sets. I. Applying Deep Learning and Anomaly-detection Techniques to Find AGNs with Anomalous Variability Behaviors. The Astronomical Journal. 162(5). 206–206. 25 indexed citations
7.
Vicuña, Lucas, Tomás Norambuena, Ana Pereira, et al.. (2021). Novel loci and Mapuche genetic ancestry are associated with pubertal growth traits in Chilean boys. Human Genetics. 140(12). 1651–1661. 5 indexed citations
8.
Lardone, María Cecilia, Alexander S. Busch, José Luis Santos, et al.. (2020). A Polygenic Risk Score Suggests Shared Genetic Architecture of Voice Break With Early Markers of Pubertal Onset in Boys. The Journal of Clinical Endocrinology & Metabolism. 105(3). e349–e357. 4 indexed citations
9.
Bauer, F. E., G. Pignata, F. Förster, et al.. (2020). ALeRCE/ZTF Transient Discovery Report for 2020-02-04. 1.
10.
Eyheramendy, S., et al.. (2019). Discrete-time autoregressive model for unequally spaced time-series observations. Springer Link (Chiba Institute of Technology). 6 indexed citations
11.
Tobar, Hugo E., Luis Rodrigo Cataldo, Valentina Serrano, et al.. (2019). Identification and functional analysis of missense mutations in the lecithin cholesterol acyltransferase gene in a Chilean patient with hypoalphalipoproteinemia. Lipids in Health and Disease. 18(1). 132–132. 7 indexed citations
12.
Gran, F., D. Minniti, R. K. Saito, et al.. (2016). Mapping the outer bulge with RRab stars from the VVV Survey. Springer Link (Chiba Institute of Technology). 36 indexed citations
13.
Pietriga, Emmanuel, Caroline Appert, Olivier Chapuis, et al.. (2016). Ultra-high-resolution walls for visualizing very large datasets. SPIE Newsroom. 1 indexed citations
14.
Rabus, M., S. Eyheramendy, David K. Sing, A. H. M. J. Triaud, & Andrew Szentgyorgyi. (2016). A GROUND-BASED OPTICAL TRANSMISSION SPECTRUM OF WASP-6b. 28 indexed citations
15.
Eyheramendy, S., et al.. (2015). Genetic structure characterization of Chileans reflects historical immigration patterns. Nature Communications. 6(1). 6472–6472. 92 indexed citations
16.
Orchard, Marcos E., et al.. (2015). Sentiment analysis and prediction of events in TWITTER. 2 indexed citations
17.
Serrano, Valentina, Alberto Maíz, S. Eyheramendy, et al.. (2012). APOA5 Q97X Mutation Identified through homozygosity mapping causes severe hypertriglyceridemia in a Chilean consanguineous family. BMC Medical Genetics. 13(1). 106–106. 14 indexed citations
18.
Furlotte, Nicholas A., Eleazar Eskin, & S. Eyheramendy. (2012). Genome‐Wide Association Mapping With Longitudinal Data. Genetic Epidemiology. 36(5). 463–471. 42 indexed citations
19.
Eyheramendy, S., Jonathan Marchini, Gil McVean, Simon Myers, & Peter Donnelly. (2006). A model-based approach to capture genetic variation for future association studies. Genome Research. 17(1). 88–95. 8 indexed citations
20.
Eyheramendy, S., David Lewis, & David Madigan. (2003). On the Naive Bayes Model for Text Categorization.. International Conference on Artificial Intelligence and Statistics. 93–100. 112 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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