Dionis A. Padilla
- Plant Science
- Computer Vision and Pattern Recognition top 10%
- Analytical Chemistry top 10%
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Jocelyn F. VillaverdeAnalyn N. YumangMeo Vincent C. CayaJessie R. BalbinFebus Reidj G. CruzRamon G. GarciaWen‐Yaw Chung
- Topics
- Smart Agriculture and AI (6 papers)Spectroscopy and Chemometric Analyses (6 papers)IoT-based Smart Home Systems (4 papers)
- Journals
- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)
- Partner nations
- PhilippinesTaiwan
In The Last Decade
Dionis A. Padilla
33 papers receiving 279 citations
Peers
Comparison fields: 5 of 85
- Plant Science 146
- Computer Vision and Pattern Recognition 115
- Analytical Chemistry 65
- Artificial Intelligence 34
- Biomedical Engineering 30
Countries citing papers authored by Dionis A. Padilla
This map shows the geographic impact of Dionis A. Padilla'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 Dionis A. Padilla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dionis A. Padilla more than expected).
Fields of papers citing papers by Dionis A. Padilla
This network shows the impact of papers produced by Dionis A. Padilla. 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 Dionis A. Padilla. The network helps show where Dionis A. Padilla may publish in the future.
Co-authorship network of co-authors of Dionis A. Padilla
This figure shows the co-authorship network connecting the top 25 collaborators of Dionis A. Padilla. A scholar is included among the top collaborators of Dionis A. Padilla 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 Dionis A. Padilla. Dionis A. Padilla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 54 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 14 | |
| 15 | 8 | |
| 16 | 33 | |
| 17 | 18 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 27 |
About Dionis A. Padilla
Dionis A. Padilla is a scholar working on Human-Computer Interaction, Analytical Chemistry and General Dentistry, having authored 35 papers that have together received 385 indexed citations. Recurring topics across this work include Smart Agriculture and AI (6 papers), Spectroscopy and Chemometric Analyses (6 papers) and IoT-based Smart Home Systems (4 papers). The work is most often cited by research in Analytical Chemistry (65 citations), Computer Vision and Pattern Recognition (115 citations) and Human-Computer Interaction (24 citations). Dionis A. Padilla has collaborated with scholars based in Philippines and Taiwan. Frequent co-authors include Jocelyn F. Villaverde, Analyn N. Yumang, Meo Vincent C. Caya, Jessie R. Balbin, Febus Reidj G. Cruz, Ramon G. Garcia and Wen‐Yaw Chung. Their work appears in journals such as Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT).
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.