Edwin Valarezo Añazco

810 total citations · 1 hit paper
24 papers, 586 citations indexed

About

Edwin Valarezo Añazco is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Edwin Valarezo Añazco has authored 24 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Control and Systems Engineering. Recurrent topics in Edwin Valarezo Añazco's work include Robot Manipulation and Learning (6 papers), EEG and Brain-Computer Interfaces (4 papers) and Context-Aware Activity Recognition Systems (4 papers). Edwin Valarezo Añazco is often cited by papers focused on Robot Manipulation and Learning (6 papers), EEG and Brain-Computer Interfaces (4 papers) and Context-Aware Activity Recognition Systems (4 papers). Edwin Valarezo Añazco collaborates with scholars based in South Korea, Ecuador and Spain. Edwin Valarezo Añazco's co-authors include Patricio Rivera, Tae‐Seong Kim, Tae‐Yeon Kim, Mugahed A. Al–antari, Mohammed A. Al‐masni, Mun‐Taek Choi, Jeongmin Park, Seung‐Moo Han, Tae‐Seong Kim and T.-S. Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Computer Methods and Programs in Biomedicine.

In The Last Decade

Edwin Valarezo Añazco

20 papers receiving 563 citations

Hit Papers

Simultaneous detection an... 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system
    2018 345 citations Mohammed A. Al‐masni, Mugahed A. Al–antari et al. Computer Methods and Programs in Biomedicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edwin Valarezo Añazco South Korea 9 340 269 162 92 82 24 586
Tae‐Seong Kim South Korea 8 424 1.2× 352 1.3× 170 1.0× 78 0.8× 101 1.2× 17 642
Babak Karasfi Iran 11 360 1.1× 269 1.0× 265 1.6× 213 2.3× 34 0.4× 25 770
Niloy Sikder Bangladesh 11 308 0.9× 366 1.4× 209 1.3× 68 0.7× 39 0.5× 19 709
Leandro A. Passos Brazil 15 211 0.6× 142 0.5× 229 1.4× 73 0.8× 27 0.3× 48 666
Xujing Yao United Kingdom 8 201 0.6× 165 0.6× 179 1.1× 76 0.8× 95 1.2× 11 617
Jieneng Chen China 11 383 1.1× 380 1.4× 552 3.4× 145 1.6× 152 1.9× 16 928
Pengcheng Xi Canada 14 133 0.4× 145 0.5× 195 1.2× 70 0.8× 22 0.3× 66 737
Abdelmalik Taleb‐Ahmed France 14 165 0.5× 166 0.6× 212 1.3× 110 1.2× 24 0.3× 50 627
Eman M. El-Gendy Egypt 13 196 0.6× 95 0.4× 110 0.7× 37 0.4× 27 0.3× 24 451
Aldo Marzullo Italy 12 110 0.3× 143 0.5× 135 0.8× 117 1.3× 63 0.8× 23 568

Countries citing papers authored by Edwin Valarezo Añazco

Since Specialization
Citations

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

Fields of papers citing papers by Edwin Valarezo Añazco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edwin Valarezo Añazco. 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 Edwin Valarezo Añazco. The network helps show where Edwin Valarezo Añazco may publish in the future.

Co-authorship network of co-authors of Edwin Valarezo Añazco

This figure shows the co-authorship network connecting the top 25 collaborators of Edwin Valarezo Añazco. A scholar is included among the top collaborators of Edwin Valarezo Añazco 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 Edwin Valarezo Añazco. Edwin Valarezo Añazco 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
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Andrade, Luís P., et al.. (2024). MARVIN: Mobile Autonomous Robot Vehicle for Investigation & Navigation. 106–111.
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Añazco, Edwin Valarezo, et al.. (2023). Myo Transformer Signal Classification for an Anthropomorphic Robotic Hand. SHILAP Revista de lepidopterología. 5(4). 1287–1300. 6 indexed citations
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Añazco, Edwin Valarezo, et al.. (2022). Design of a Conveyor Belt Manipulator for Reposition of Boxes in Logistics Centers. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE). 2225–2230. 1 indexed citations
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Añazco, Edwin Valarezo, et al.. (2021). Hand Gesture Recognition Using Single Patchable Six-Axis Inertial Measurement Unit via Recurrent Neural Networks. Sensors. 21(4). 1404–1404. 30 indexed citations
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Rivera, Patricio, et al.. (2021). Reward Shaping to Learn Natural Object Manipulation With an Anthropomorphic Robotic Hand and Hand Pose Priors via On-Policy Reinforcement Learning. 2021 International Conference on Information and Communication Technology Convergence (ICTC). 167–171. 2 indexed citations
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Añazco, Edwin Valarezo, Patricio Rivera, & Tae‐Seong Kim. (2021). Three‐dimensional shape reconstruction of objects from a single depth view using deep U‐Net convolutional neural network with bottle‐neck skip connections. IET Computer Vision. 15(1). 24–35. 1 indexed citations
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Añazco, Edwin Valarezo, et al.. (2020). Natural object manipulation using anthropomorphic robotic hand through deep reinforcement learning and deep grasping probability network. Applied Intelligence. 51(2). 1041–1055. 15 indexed citations
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Rivera, Patricio, Edwin Valarezo Añazco, & Tae‐Seong Kim. (2020). An Integrated ARMA-Based Deep Autoencoder and GRU Classifier System for Enhanced Recognition of Daily Hand Activities. International Journal of Pattern Recognition and Artificial Intelligence. 35(6). 2152006–2152006. 7 indexed citations
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Rivera, Patricio, Edwin Valarezo Añazco, Mun‐Taek Choi, & Tae‐Seong Kim. (2019). Trilateral convolutional neural network for 3D shape reconstruction of objects from a single depth view. IET Image Processing. 13(13). 2457–2466. 4 indexed citations
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Al‐masni, Mohammed A., Mugahed A. Al–antari, Jeongmin Park, et al.. (2018). Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system. Computer Methods and Programs in Biomedicine. 157. 85–94. 345 indexed citations breakdown →
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Peláez, Enrique, et al.. (2018). EMG Signal Processing with Clustering Algorithms for motor gesture Tasks. 1–6. 6 indexed citations
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Añazco, Edwin Valarezo, et al.. (2018). Smoking Activity Recognition Using a Single Wrist IMU and Deep Learning Light. 48–51. 17 indexed citations
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Rivera, Patricio, Edwin Valarezo Añazco, Mun‐Taek Choi, & Tae‐Seong Kim. (2017). Recognition of Human Hand Activities Based on a Single Wrist IMU Using Recurrent Neural Networks. 6(4). 114–118. 29 indexed citations
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Al‐masni, Mohammed A., Mugahed A. Al–antari, Tae‐Yop Kim, et al.. (2017). Detection and classification of the breast abnormalities in digital mammograms via regional Convolutional Neural Network. PubMed. 2017. 1230–1233. 88 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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