Sildomar T. Monteiro
- Media Technology top 1%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Environmental Engineering top 10%
- Mechanical Engineering
- Co-authors
- Richard J. MurphyEli SaberSven SchneiderYansong LiuYukio KosugiFábio RamosPeter HatherlyKunio Oda
- Topics
- Remote-Sensing Image Classification (23 papers)Spectroscopy and Chemometric Analyses (11 papers)Geochemistry and Geologic Mapping (10 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingRemote SensingInternational Journal of Rock Mechanics and Mining Sciences
- Partner nations
- AustraliaUnited StatesJapan
In The Last Decade
Sildomar T. Monteiro
45 papers receiving 862 citations
Peers
Comparison fields: 5 of 95
- Media Technology 438
- Artificial Intelligence 271
- Computer Vision and Pattern Recognition 186
- Environmental Engineering 149
- Mechanical Engineering 147
Countries citing papers authored by Sildomar T. Monteiro
This map shows the geographic impact of Sildomar T. Monteiro'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 Sildomar T. Monteiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sildomar T. Monteiro more than expected).
Fields of papers citing papers by Sildomar T. Monteiro
This network shows the impact of papers produced by Sildomar T. Monteiro. 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 Sildomar T. Monteiro. The network helps show where Sildomar T. Monteiro may publish in the future.
Co-authorship network of co-authors of Sildomar T. Monteiro
This figure shows the co-authorship network connecting the top 25 collaborators of Sildomar T. Monteiro. A scholar is included among the top collaborators of Sildomar T. Monteiro 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 Sildomar T. Monteiro. Sildomar T. Monteiro 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 | 1 | |
| 3 | 6 | |
| 4 | 33 | |
| 5 | 38 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 33 | |
| 11 | 68 | |
| 12 | 9 | |
| 13 | 8 | |
| 14 | 63 | |
| 15 | 20 | |
| 16 | 5 | |
| 17 | On the development of a hyperspectral library for autonomous mining systems | 12 |
| 18 | 11 | |
| 19 | Feature Extraction of Hyperspectral Data for under Spilled Blood Visualization Using Particle Swarm Optimization | 7 |
| 20 | 5 |
About Sildomar T. Monteiro
Sildomar T. Monteiro is a scholar working on Media Technology, Analytical Chemistry and Artificial Intelligence, having authored 47 papers that have together received 883 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (23 papers), Spectroscopy and Chemometric Analyses (11 papers) and Geochemistry and Geologic Mapping (10 papers). The work is most often cited by research in Media Technology (438 citations), Analytical Chemistry (140 citations) and Environmental Engineering (149 citations). Sildomar T. Monteiro has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Richard J. Murphy, Eli Saber, Sven Schneider, Yansong Liu, Yukio Kosugi, Fábio Ramos, Peter Hatherly, Kunio Oda, Ali Kadkhodaie and Juan Nieto. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing and International Journal of Rock Mechanics and Mining Sciences.
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.