Charissa Ann Ronao
- Computer Vision and Pattern Recognition top 1%
- Computer Networks and Communications top 5%
- Biomedical Engineering top 10%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Co-authors
- Sung‐Bae ChoSung-Bae Cho
- Topics
- Context-Aware Activity Recognition Systems (4 papers)Human Mobility and Location-Based Analysis (3 papers)Web Application Security Vulnerabilities (2 papers)
- Journals
- Expert Systems with ApplicationsInformation SciencesInternational Journal of Distributed Sensor Networks
- Partner nations
- South Korea
In The Last Decade
Charissa Ann Ronao
6 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 845
- Computer Networks and Communications 354
- Biomedical Engineering 342
- Artificial Intelligence 296
- Electrical and Electronic Engineering 134
Countries citing papers authored by Charissa Ann Ronao
This map shows the geographic impact of Charissa Ann Ronao'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 Charissa Ann Ronao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charissa Ann Ronao more than expected).
Fields of papers citing papers by Charissa Ann Ronao
This network shows the impact of papers produced by Charissa Ann Ronao. 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 Charissa Ann Ronao. The network helps show where Charissa Ann Ronao may publish in the future.
Co-authorship network of co-authors of Charissa Ann Ronao
This figure shows the co-authorship network connecting the top 25 collaborators of Charissa Ann Ronao. A scholar is included among the top collaborators of Charissa Ann Ronao 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 Charissa Ann Ronao. Charissa Ann Ronao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 77 | |
| 2 | Human activity recognition with smartphone sensors using deep learning neural networksbreakdown → | 867 |
| 3 | 37 | |
| 4 | A Comparison of Data Mining Techniques for Anomaly Detection in Relational Databases | 2 |
| 5 | An Optimal Feature Selection Method based on Random Forests for Activity Recognition with Smartphone Sensors | 1 |
| 6 | 96 |
About Charissa Ann Ronao
Charissa Ann Ronao is a scholar working on Transportation, Computer Vision and Pattern Recognition and Water Science and Technology, having authored 6 papers that have together received 1.1k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (4 papers), Human Mobility and Location-Based Analysis (3 papers) and Web Application Security Vulnerabilities (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (845 citations), Computer Networks and Communications (354 citations) and Transportation (84 citations). Charissa Ann Ronao has collaborated with scholars based in South Korea. Frequent co-authors include Sung‐Bae Cho and Sung-Bae Cho. Their work appears in journals such as Expert Systems with Applications, Information Sciences and International Journal of Distributed Sensor Networks.
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.