Eduardo Zurek

715 total citations
36 papers, 479 citations indexed

About

Eduardo Zurek is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Biophysics. According to data from OpenAlex, Eduardo Zurek has authored 36 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Biomedical Engineering and 6 papers in Biophysics. Recurrent topics in Eduardo Zurek's work include Gut microbiota and health (4 papers), Cell Image Analysis Techniques (4 papers) and Digital Imaging for Blood Diseases (3 papers). Eduardo Zurek is often cited by papers focused on Gut microbiota and health (4 papers), Cell Image Analysis Techniques (4 papers) and Digital Imaging for Blood Diseases (3 papers). Eduardo Zurek collaborates with scholars based in Colombia, United States and Australia. Eduardo Zurek's co-authors include Homero San‐Juan‐Vergara, Margarita Gamarra, Hernán Lorenzi, Cherie Oubre, Kelvin Moncera, Yun Zhang, Satish Mehta, Duane L. Pierson, Brian Crucian and Alan H. Feiveson and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Eduardo Zurek

34 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eduardo Zurek Colombia 11 144 103 61 56 45 36 479
Yuan Zhu China 13 24 0.2× 186 1.8× 63 1.0× 25 0.4× 31 0.7× 54 589
Nan Zhao China 19 18 0.1× 344 3.3× 115 1.9× 36 0.6× 27 0.6× 71 1.0k
Yanan Fu China 16 44 0.3× 136 1.3× 55 0.9× 21 0.4× 15 0.3× 70 903
Zixiao Zhang China 15 47 0.3× 190 1.8× 170 2.8× 50 0.9× 124 2.8× 43 686
Congsheng Li China 12 23 0.2× 28 0.3× 25 0.4× 41 0.7× 14 0.3× 60 375
Zhengtao Li China 13 14 0.1× 153 1.5× 119 2.0× 29 0.5× 47 1.0× 45 588
Lu Cao China 13 24 0.2× 182 1.8× 20 0.3× 15 0.3× 22 0.5× 96 641
Minghui Shi China 14 32 0.2× 237 2.3× 45 0.7× 59 1.1× 16 0.4× 81 740
Xinyuan Huang China 12 92 0.6× 43 0.4× 73 1.2× 25 0.4× 8 0.2× 59 587
Virginia L. Ballarin Argentina 14 24 0.2× 38 0.4× 150 2.5× 93 1.7× 10 0.2× 68 557

Countries citing papers authored by Eduardo Zurek

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo Zurek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduardo Zurek

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Zurek. A scholar is included among the top collaborators of Eduardo Zurek 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 Eduardo Zurek. Eduardo Zurek 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.
Gamarra, Margarita, et al.. (2024). A distance-based kernel for classification via Support Vector Machines. Frontiers in Artificial Intelligence. 7. 1287875–1287875. 14 indexed citations
2.
Zurek, Eduardo, Wildeman Zapata, Juan C. Hernández, et al.. (2021). A specific structure and high richness characterize intestinal microbiota of HIV-exposed seronegative individuals. PLoS ONE. 16(12). e0260729–e0260729. 6 indexed citations
3.
Vélez, Jorge I., et al.. (2021). A new pipeline for structural characterization and classification of RNA-Seq microbiome data. BioData Mining. 14(1). 31–31. 4 indexed citations
4.
Zurek, Eduardo, et al.. (2020). Non-Local SVD Denoising of MRI Based on Sparse Representations. Sensors. 20(5). 1536–1536. 13 indexed citations
5.
Zurek, Eduardo, et al.. (2020). Annual microbial community dynamics in a full-scale anaerobic sludge digester from a wastewater treatment plant in Colombia. The Science of The Total Environment. 726. 138479–138479. 34 indexed citations
6.
7.
Voorhies, Alexander A., C. Mark Ott, Satish Mehta, et al.. (2019). Study of the impact of long-duration space missions at the International Space Station on the astronaut microbiome. Scientific Reports. 9(1). 9911–9911. 163 indexed citations
8.
Gamarra, Margarita, et al.. (2019). Split and merge watershed: A two-step method for cell segmentation in fluorescence microscopy images. Biomedical Signal Processing and Control. 53. 101575–101575. 60 indexed citations
9.
Zurek, Eduardo, et al.. (2018). A Robust Application in Vessel Recognition Based on Neural Classification of Acoustic Fingerprint. 16(1). 195–213. 1 indexed citations
10.
Gamarra, Margarita, Eduardo Zurek, & Homero San‐Juan‐Vergara. (2018). Addendum for: A Study of Image Analysis Algorithms for Segmentation, Feature Extraction and Classification of Cells. SHILAP Revista de lepidopterología. 3(1). 8 indexed citations
11.
San‐Juan‐Vergara, Homero, Eduardo Zurek, Nadim J. Ajami, et al.. (2018). A Lachnospiraceae-dominated bacterial signature in the fecal microbiota of HIV-infected individuals from Colombia, South America. Scientific Reports. 8(1). 4479–4479. 37 indexed citations
12.
Vélez, Jorge I., et al.. (2018). ADHD Endophenotypes in Caribbean Families. Journal of Attention Disorders. 24(14). 2100–2114. 9 indexed citations
13.
Zakzuk, Josefina, et al.. (2018). Gut microbiota components are associated with fixed airway obstruction in asthmatic patients living in the tropics. Scientific Reports. 8(1). 9582–9582. 18 indexed citations
14.
Zurek, Eduardo, et al.. (2014). Thalamic reticular cells firing modes and its dependency on the frequency and amplitude ranges of the current stimulus. Medical & Biological Engineering & Computing. 53(1). 37–44. 2 indexed citations
15.
Gutiérrez, Carlos, Xavier García, Eduardo Zurek, & Augusto Salazar. (2013). Statistical model of a signal of Raman spectroscopy: Detection. 28. 1–5. 1 indexed citations
16.
Zurek, Eduardo, et al.. (2013). Teaching and learning the Hodgkin-Huxley model based on software developed in NEURON’s programming language hoc. BMC Medical Education. 13(1). 70–70. 3 indexed citations
17.
Mass, J., et al.. (2012). Identification of Explosive Substances Through Improved Signals Obtained by a Portable Raman Spectrometer. Spectroscopy Letters. 45(6). 413–419. 8 indexed citations
18.
Zurek, Eduardo, Wilfrido Moreno, & Luis H. García‐Rubio. (2011). A numerical simulation model to facilitate the understanding of the properties of a diffraction grating. Computer Applications in Engineering Education. 22(2). 187–194.
19.
Zurek, Eduardo, et al.. (2009). Algoritmos genéticos aplicados a la optimización de antenas Yagi-Uda. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 8(15). 105–114. 1 indexed citations
20.
Zurek, Eduardo, Wilfrido Moreno, & Luis H. García‐Rubio. (2008). A Numerical Approach to Simplify the Diffraction Grating Model. 2108–2113. 2 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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