Hector E. Muñoz

897 total citations
20 papers, 665 citations indexed

About

Hector E. Muñoz is a scholar working on Biomedical Engineering, Surgery and Molecular Biology. According to data from OpenAlex, Hector E. Muñoz has authored 20 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 4 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Hector E. Muñoz's work include Medical Imaging and Analysis (6 papers), Microfluidic and Bio-sensing Technologies (4 papers) and Dental Radiography and Imaging (3 papers). Hector E. Muñoz is often cited by papers focused on Medical Imaging and Analysis (6 papers), Microfluidic and Bio-sensing Technologies (4 papers) and Dental Radiography and Imaging (3 papers). Hector E. Muñoz collaborates with scholars based in United States, Japan and Australia. Hector E. Muñoz's co-authors include Dino Di Carlo, Joseph E. Burns, Ronald M. Summers, Jianhua Yao, Keisuke Goda, Ming Li, Jochen Guck, Josephine Bagnall, Oliver Otto and Marta Urbanska and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Nature Methods.

In The Last Decade

Hector E. Muñoz

19 papers receiving 656 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hector E. Muñoz United States 12 454 105 96 87 80 20 665
Julia Walther Germany 17 460 1.0× 147 1.4× 34 0.4× 63 0.7× 63 0.8× 67 741
Jianping Su United States 17 656 1.4× 61 0.6× 63 0.7× 110 1.3× 47 0.6× 26 795
Peter Cimalla Germany 12 249 0.5× 198 1.9× 34 0.4× 40 0.5× 60 0.8× 38 606
Kenneth K. Y. Ho United States 13 240 0.5× 173 1.6× 81 0.8× 55 0.6× 60 0.8× 23 494
Shuguang Guo United States 22 1.0k 2.3× 79 0.8× 93 1.0× 138 1.6× 135 1.7× 39 1.3k
Vladislav A. Kamensky Russia 18 659 1.5× 89 0.8× 40 0.4× 71 0.8× 46 0.6× 97 977
Wen‐Chuan Kuo Taiwan 16 430 0.9× 109 1.0× 33 0.3× 71 0.8× 78 1.0× 61 661
E. Du United States 16 462 1.0× 126 1.2× 37 0.4× 17 0.2× 154 1.9× 31 834
Shada Abuhattum Germany 15 360 0.8× 134 1.3× 324 3.4× 26 0.3× 36 0.5× 22 754
Mo Motamedi United States 15 271 0.6× 217 2.1× 30 0.3× 70 0.8× 43 0.5× 30 850

Countries citing papers authored by Hector E. Muñoz

Since Specialization
Citations

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

Fields of papers citing papers by Hector E. Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hector E. Muñoz. 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 Hector E. Muñoz. The network helps show where Hector E. Muñoz may publish in the future.

Co-authorship network of co-authors of Hector E. Muñoz

This figure shows the co-authorship network connecting the top 25 collaborators of Hector E. Muñoz. A scholar is included among the top collaborators of Hector E. Muñoz 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 Hector E. Muñoz. Hector E. Muñoz 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.
Cuadrado-Laborde, Christian, Hector E. Muñoz, Pere Pérez‐Millán, et al.. (2025). Systematic study of a thulium-doped all-polarization maintaining modelocked fiber laser from a low to high fundamental repetition rate. Optics Express. 33(8). 16849–16849.
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Murray, Coleman, et al.. (2021). Magnetic microparticle concentration and collection using a mechatronic magnetic ratcheting system. PLoS ONE. 16(2). e0246124–e0246124. 2 indexed citations
5.
Muñoz, Hector E., Carson T. Riche, Mark van Zee, et al.. (2020). Fractal LAMP: Label-Free Analysis of Fractal Precipitate for Digital Loop-Mediated Isothermal Nucleic Acid Amplification. ACS Sensors. 5(2). 385–394. 35 indexed citations
6.
Urbanska, Marta, Hector E. Muñoz, Josephine Bagnall, et al.. (2020). A comparison of microfluidic methods for high-throughput cell deformability measurements. Nature Methods. 17(6). 587–593. 188 indexed citations
7.
Mei, Jenny Y., Hector E. Muñoz, Jessica S. Kim, et al.. (2020). Rates of Cesarean Conversion and Associated Predictors and Outcomes in Planned Vaginal Twin Deliveries. American Journal of Perinatology. 39(6). 601–608. 2 indexed citations
8.
Yalikun, Yaxiaer, Nobutoshi Ota, Baoshan Guo, et al.. (2019). Effects of Flow‐Induced Microfluidic Chip Wall Deformation on Imaging Flow Cytometry. Cytometry Part A. 97(9). 909–920. 25 indexed citations
9.
Muñoz, Hector E., Ming Li, Carson T. Riche, et al.. (2018). Single-Cell Analysis of Morphological and Metabolic Heterogeneity in Euglena gracilis by Fluorescence-Imaging Flow Cytometry. Analytical Chemistry. 90(19). 11280–11289. 20 indexed citations
10.
Jude, Joseph A., Gaoyuan Cao, Deepa Rastogi, et al.. (2018). Obesity increases airway smooth muscle responses to contractile agonists. American Journal of Physiology-Lung Cellular and Molecular Physiology. 315(5). L673–L681. 47 indexed citations
11.
Delagnes, Jean-Christophe, Jérôme Lhermite, G. Santarelli, et al.. (2018). High-power widely tunable ps source in the visible light based on four wave mixing in optimized photonic crystal fibers. Optics Express. 26(9). 11265–11265. 11 indexed citations
12.
Li, Ming, Hector E. Muñoz, Keisuke Goda, & Dino Di Carlo. (2017). Shape-based separation of microalga Euglena gracilis using inertial microfluidics. Scientific Reports. 7(1). 10802–10802. 87 indexed citations
13.
Li, Ming, Hector E. Muñoz, Baoshan Guo, et al.. (2016). Inertial focusing of ellipsoidal Euglena gracilis cells in a stepped microchannel. Lab on a Chip. 16(22). 4458–4465. 47 indexed citations
14.
Burns, Joseph E., Jianhua Yao, Hector E. Muñoz, & Ronald M. Summers. (2015). Automated Detection, Localization, and Classification of Traumatic Vertebral Body Fractures in the Thoracic and Lumbar Spine at CT. Radiology. 278(1). 64–73. 57 indexed citations
15.
Yao, Jianhua, Joseph E. Burns, Hector E. Muñoz, & Ronald M. Summers. (2014). Cortical shell unwrapping for vertebral body abnormality detection on computed tomography. Computerized Medical Imaging and Graphics. 38(7). 628–638. 10 indexed citations
16.
Muñoz, Hector E., et al.. (2014). Advances in the production and handling of encoded microparticles. Lab on a Chip. 14(13). 2212–2212. 4 indexed citations
17.
Muñoz, Hector E., et al.. (2014). Vertebral degenerative disc disease severity evaluation using random forest classification. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9035. 90353A–90353A. 2 indexed citations
18.
Burns, Joseph E., et al.. (2013). Automated Detection of Sclerotic Metastases in the Thoracolumbar Spine at CT. Radiology. 268(1). 69–78. 44 indexed citations
19.
Muñoz, Hector E., Jianhua Yao, Joseph E. Burns, & Ronald M. Summers. (2013). Detection of vertebral degenerative disc disease based on cortical shell unwrapping. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8670. 86700C–86700C. 5 indexed citations
20.
Yao, Jianhua, Joseph E. Burns, Hector E. Muñoz, & Ronald M. Summers. (2012). Detection of Vertebral Body Fractures Based on Cortical Shell Unwrapping. Lecture notes in computer science. 15(Pt 3). 509–516. 52 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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