Eduardo Zurek

715 citations
36 papers · 479 indexed · h-index 11
Topics
Gut microbiota and health (4 papers)Cell Image Analysis Techniques (4 papers)Digital Imaging for Blood Diseases (3 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEThe Science of The Total Environment

In The Last Decade

Eduardo Zurek

34 papers receiving 466 citations

Peers

Eduardo Zurek
Comparison fields: 5 of 134
  • Physiology 144
  • Molecular Biology 103
  • Computer Vision and Pattern Recognition 61
  • Artificial Intelligence 56
  • Aerospace Engineering 45
Replace Xingpeng Jiang with:
Xingpeng Jiang China
Yuan Zhu China
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Andrew R. Jamieson United States
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Eduardo Zurek relative to Xingpeng Jiang China Xingpeng Jiang's profile →
Citations per field
00.5×10×15×20×22.5×
Xingpeng Jiang · 1×
Citations per year

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
#WorkIndexed citations
1 14
2 6
3 4
4 21
5 13
6 34
7 163
8 1
9 60
10 37
11
A Robust Application in Vessel Recognition Based on Neural Classification of Acoustic Fingerprint
1
12 8
13 18
14 2
15 3
16 1
17 8
18 0
19
Algoritmos genéticos aplicados a la optimización de antenas Yagi-Uda
1
20 2

About Eduardo Zurek

Eduardo Zurek is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Media Technology, having authored 36 papers that have together received 479 indexed citations. Recurring topics across this work include Gut microbiota and health (4 papers), Cell Image Analysis Techniques (4 papers) and Digital Imaging for Blood Diseases (3 papers). The work is most often cited by research in Biophysics (37 citations), Physiology (144 citations) and Aging (7 citations). Eduardo Zurek has collaborated with scholars based in Colombia, United States and Australia. Frequent co-authors include Homero San‐Juan‐Vergara, Margarita Gamarra, Manolito Torralba, Cherie Oubre, Alexander A. Voorhies, Hernán Lorenzi, Yun Zhang, Kelvin Moncera, Duane L. Pierson and Satish Mehta. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

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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