Alejandro H. Ballado
- Computer Vision and Pattern Recognition top 10%
- Plant Science
- Artificial Intelligence
- Electrical and Electronic Engineering
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Jennifer C. Dela CruzMeo Vincent C. CayaFebus Reidj G. CruzRamon G. GarciaJesús Martı́nezArnold C. PaglinawanAnalyn N. YumangJessada Karnjana
- Topics
- Smart Agriculture and AI (11 papers)Remote Sensing and LiDAR Applications (8 papers)Advanced DC-DC Converters (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Electrical and Electronic Engineering & Telecommunications2020 IEEE Region 10 Symposium (TENSYMP)
- Partner nations
- PhilippinesJapanLaos
In The Last Decade
Alejandro H. Ballado
50 papers receiving 306 citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 127
- Plant Science 75
- Artificial Intelligence 60
- Electrical and Electronic Engineering 48
- Radiology, Nuclear Medicine and Imaging 46
Countries citing papers authored by Alejandro H. Ballado
This map shows the geographic impact of Alejandro H. Ballado'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 Alejandro H. Ballado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro H. Ballado more than expected).
Fields of papers citing papers by Alejandro H. Ballado
This network shows the impact of papers produced by Alejandro H. Ballado. 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 Alejandro H. Ballado. The network helps show where Alejandro H. Ballado may publish in the future.
Co-authorship network of co-authors of Alejandro H. Ballado
This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro H. Ballado. A scholar is included among the top collaborators of Alejandro H. Ballado 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 Alejandro H. Ballado. Alejandro H. Ballado 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 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 94 | |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 4 | |
| 17 | 10 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 11 |
About Alejandro H. Ballado
Alejandro H. Ballado is a scholar working on Environmental Engineering, Media Technology and Water Science and Technology, having authored 61 papers that have together received 341 indexed citations. Recurring topics across this work include Smart Agriculture and AI (11 papers), Remote Sensing and LiDAR Applications (8 papers) and Advanced DC-DC Converters (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (127 citations), Biophysics (21 citations) and Media Technology (31 citations). Alejandro H. Ballado has collaborated with scholars based in Philippines, Japan and Laos. Frequent co-authors include Jennifer C. Dela Cruz, Meo Vincent C. Caya, Febus Reidj G. Cruz, Ramon G. Garcia, Jesús Martı́nez, Arnold C. Paglinawan, Analyn N. Yumang, Jessada Karnjana, Renato R. Maaliw and Martin Lopez. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Electrical and Electronic Engineering & Telecommunications and 2020 IEEE Region 10 Symposium (TENSYMP).
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.