Rafael Pires de Lima
- Mechanical Engineering
- Artificial Intelligence top 10%
- Media Technology top 5%
- Computer Vision and Pattern Recognition top 10%
- Ocean Engineering top 5%
- Co-authors
- Kurt J. MarfurtCharles NicholsonD. DuarteYouzuo LinRoger M. SlattMatthew J. PranterYue ChenMorteza Karimzadeh
- Topics
- Hydrocarbon exploration and reservoir analysis (9 papers)Mineral Processing and Grinding (6 papers)Geochemistry and Geologic Mapping (6 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingInternational Journal of Remote SensingRemote Sensing
- Partner nations
- United StatesBrazilNorway
In The Last Decade
Rafael Pires de Lima
30 papers receiving 547 citations
Peers
Comparison fields: 5 of 82
- Mechanical Engineering 161
- Artificial Intelligence 146
- Media Technology 136
- Computer Vision and Pattern Recognition 135
- Ocean Engineering 125
Countries citing papers authored by Rafael Pires de Lima
This map shows the geographic impact of Rafael Pires de Lima'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 Rafael Pires de Lima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Pires de Lima more than expected).
Fields of papers citing papers by Rafael Pires de Lima
This network shows the impact of papers produced by Rafael Pires de Lima. 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 Rafael Pires de Lima. The network helps show where Rafael Pires de Lima may publish in the future.
Co-authorship network of co-authors of Rafael Pires de Lima
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Pires de Lima. A scholar is included among the top collaborators of Rafael Pires de Lima 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 Rafael Pires de Lima. Rafael Pires de Lima 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 | 1 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 17 | |
| 9 | 4 | |
| 10 | 62 | |
| 11 | 21 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 47 | |
| 15 | 5 | |
| 16 | 11 | |
| 17 | 5 | |
| 18 | Petrographic analysis with deep convolutional neural networks | 2 |
| 19 | 6 | |
| 20 | 1 |
About Rafael Pires de Lima
Rafael Pires de Lima is a scholar working on Ocean Engineering, Environmental Chemistry and Geophysics, having authored 30 papers that have together received 566 indexed citations. Recurring topics across this work include Hydrocarbon exploration and reservoir analysis (9 papers), Mineral Processing and Grinding (6 papers) and Geochemistry and Geologic Mapping (6 papers). The work is most often cited by research in Media Technology (136 citations), Ocean Engineering (125 citations) and Computer Vision and Pattern Recognition (135 citations). Rafael Pires de Lima has collaborated with scholars based in United States, Brazil and Norway. Frequent co-authors include Kurt J. Marfurt, Charles Nicholson, D. Duarte, Youzuo Lin, Roger M. Slatt, Matthew J. Pranter, Yue Chen, Morteza Karimzadeh, Saurabh Sinha and Alexander Y. Sun. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, International Journal of Remote Sensing and Remote Sensing.
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.