Edwin Valarezo Añazco
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Neurology top 10%
- Co-authors
- Patricio RiveraMugahed A. Al–antariMohammed A. Al‐masniMun‐Taek ChoiTae‐Seong KimSeung‐Moo HanJeongmin ParkTae‐Yeon Kim
- Topics
- Robot Manipulation and Learning (6 papers)EEG and Brain-Computer Interfaces (4 papers)Context-Aware Activity Recognition Systems (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsComputer Methods and Programs in Biomedicine
- Partner nations
- South KoreaEcuadorSpain
In The Last Decade
Edwin Valarezo Añazco
20 papers receiving 563 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 340
- Radiology, Nuclear Medicine and Imaging 269
- Computer Vision and Pattern Recognition 162
- Biomedical Engineering 92
- Neurology 82
Countries citing papers authored by Edwin Valarezo Añazco
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 30 | |
| 10 | 2 | |
| 11 | 11 | |
| 12 | 1 | |
| 13 | 15 | |
| 14 | 7 | |
| 15 | 4 | |
| 16 | Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD systembreakdown → | 345 |
| 17 | 17 | |
| 18 | 6 | |
| 19 | 29 | |
| 20 | 88 |
About Edwin Valarezo Añazco
Edwin Valarezo Añazco is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 24 papers that have together received 586 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (6 papers), EEG and Brain-Computer Interfaces (4 papers) and Context-Aware Activity Recognition Systems (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (269 citations), Health Informatics (15 citations) and Artificial Intelligence (340 citations). Edwin Valarezo Añazco has collaborated with scholars based in South Korea, Ecuador and Spain. Frequent co-authors include Patricio Rivera, Mugahed A. Al–antari, Mohammed A. Al‐masni, Mun‐Taek Choi, Tae‐Seong Kim, Seung‐Moo Han, Jeongmin Park, Tae‐Yeon Kim, Tae‐Seong Kim and T.-S. Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Computer Methods and Programs in Biomedicine.
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.