Robert G. de Luna
- Plant Science top 10%
- Analytical Chemistry top 5%
- Ecology
- Computer Vision and Pattern Recognition
- Biomedical Engineering
- Co-authors
- Elmer P. DadiosArgel A. BandalaRyan Rhay P. VicerraRenann G. BaldovinoIra C. ValenzuelaAlvin B. CulabaJoel L. CuelloJeffrey Ellen
- Topics
- Smart Agriculture and AI (9 papers)Spectroscopy and Chemometric Analyses (5 papers)Leaf Properties and Growth Measurement (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal on Advanced Science Engineering and Information TechnologyJournal of Advanced Computational Intelligence and Intelligent Informatics
- Partner nations
- PhilippinesUnited StatesJapan
In The Last Decade
Robert G. de Luna
22 papers receiving 315 citations
Peers
Comparison fields: 5 of 58
- Plant Science 246
- Analytical Chemistry 124
- Ecology 32
- Computer Vision and Pattern Recognition 21
- Biomedical Engineering 20
Countries citing papers authored by Robert G. de Luna
This map shows the geographic impact of Robert G. de Luna'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 Robert G. de Luna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert G. de Luna more than expected).
Fields of papers citing papers by Robert G. de Luna
This network shows the impact of papers produced by Robert G. de Luna. 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 Robert G. de Luna. The network helps show where Robert G. de Luna may publish in the future.
Co-authorship network of co-authors of Robert G. de Luna
This figure shows the co-authorship network connecting the top 25 collaborators of Robert G. de Luna. A scholar is included among the top collaborators of Robert G. de Luna 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 Robert G. de Luna. Robert G. de Luna 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 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 0 | |
| 13 | 0 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 4 | |
| 19 | 20 | |
| 20 | 3 |
About Robert G. de Luna
Robert G. de Luna is a scholar working on Analytical Chemistry, Safety, Risk, Reliability and Quality and Industrial and Manufacturing Engineering, having authored 32 papers that have together received 337 indexed citations. Recurring topics across this work include Smart Agriculture and AI (9 papers), Spectroscopy and Chemometric Analyses (5 papers) and Leaf Properties and Growth Measurement (4 papers). The work is most often cited by research in Analytical Chemistry (124 citations), Plant Science (246 citations) and Human-Computer Interaction (9 citations). Robert G. de Luna has collaborated with scholars based in Philippines, United States and Japan. Frequent co-authors include Elmer P. Dadios, Argel A. Bandala, Ryan Rhay P. Vicerra, Renann G. Baldovino, Ira C. Valenzuela, Alvin B. Culaba, Joel L. Cuello, Jeffrey Ellen, Marion G. Ceruti and Jaehoon Lim. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal on Advanced Science Engineering and Information Technology and Journal of Advanced Computational Intelligence and Intelligent Informatics.
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.