Sildomar T. Monteiro

1.2k total citations
47 papers, 883 citations indexed

About

Sildomar T. Monteiro is a scholar working on Media Technology, Artificial Intelligence and Analytical Chemistry. According to data from OpenAlex, Sildomar T. Monteiro has authored 47 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Media Technology, 17 papers in Artificial Intelligence and 11 papers in Analytical Chemistry. Recurrent topics in Sildomar T. Monteiro's work include Remote-Sensing Image Classification (23 papers), Spectroscopy and Chemometric Analyses (11 papers) and Geochemistry and Geologic Mapping (10 papers). Sildomar T. Monteiro is often cited by papers focused on Remote-Sensing Image Classification (23 papers), Spectroscopy and Chemometric Analyses (11 papers) and Geochemistry and Geologic Mapping (10 papers). Sildomar T. Monteiro collaborates with scholars based in Australia, United States and Japan. Sildomar T. Monteiro's 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 and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing and International Journal of Rock Mechanics and Mining Sciences.

In The Last Decade

Sildomar T. Monteiro

45 papers receiving 862 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sildomar T. Monteiro Australia 16 438 271 186 149 147 47 883
Yanni Dong China 19 743 1.7× 285 1.1× 303 1.6× 82 0.6× 88 0.6× 68 1.1k
Arman Melkumyan Australia 15 221 0.5× 204 0.8× 83 0.4× 45 0.3× 129 0.9× 47 677
Tatyana V. Bandos Spain 9 936 2.1× 166 0.6× 395 2.1× 122 0.8× 134 0.9× 17 1.5k
Mingming Xu China 19 411 0.9× 254 0.9× 258 1.4× 78 0.5× 25 0.2× 117 1.2k
Li Ni China 16 416 0.9× 80 0.3× 208 1.1× 176 1.2× 56 0.4× 76 1.0k
Jianwei Ding China 16 245 0.6× 208 0.8× 136 0.7× 116 0.8× 18 0.1× 50 694
Zhongwei Li China 16 275 0.6× 101 0.4× 124 0.7× 107 0.7× 28 0.2× 89 804
Li Wei China 9 1.3k 2.9× 181 0.7× 415 2.2× 76 0.5× 57 0.4× 55 1.8k
Wei Yao China 17 186 0.4× 282 1.0× 157 0.8× 103 0.7× 94 0.6× 43 1.2k
Si-Bao Chen China 17 443 1.0× 236 0.9× 592 3.2× 147 1.0× 28 0.2× 90 1.1k

Countries citing papers authored by Sildomar T. Monteiro

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Monteiro, Sildomar T., et al.. (2025). Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis. IEEE Transactions on Control Systems Technology. 33(6). 2334–2349.
2.
Lee, Steven, et al.. (2024). Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances. 9939–9945. 1 indexed citations
3.
Monteiro, Sildomar T., et al.. (2023). Probabilistic multi-modal depth estimation based on camera–LiDAR sensor fusion. Machine Vision and Applications. 34(5). 6 indexed citations
4.
Liu, Yansong, et al.. (2019). Semantic segmentation of multisensor remote sensing imagery with deep ConvNets and higher-order conditional random fields. Journal of Applied Remote Sensing. 13(1). 1–1. 33 indexed citations
5.
Ientilucci, Emmett J., et al.. (2018). Dual-Channel Densenet for Hyperspectral Image Classification. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2595–2598. 38 indexed citations
6.
7.
Hu, Yang, Nathan D. Cahill, Sildomar T. Monteiro, Eli Saber, & David W. Messinger. (2015). Low-dimensional representations of hyperspectral data for use in CRF-based classification. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9643. 96430L–96430L. 1 indexed citations
8.
Hu, Yang, Sildomar T. Monteiro, & Eli Saber. (2015). Comparing inference methods for conditional random fields for hyperspectral image classification. 21. 1–4. 1 indexed citations
9.
Liu, Yansong, Sildomar T. Monteiro, & Eli Saber. (2015). An approach for combining airborne LiDAR and high-resolution aerial color imagery using Gaussian processes. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9643. 96430Z–96430Z. 2 indexed citations
10.
11.
Murphy, Richard J., et al.. (2013). Consistency of Measurements of Wavelength Position From Hyperspectral Imagery: Use of the Ferric Iron Crystal Field Absorption at $\sim$900 nm as an Indicator of Mineralogy. IEEE Transactions on Geoscience and Remote Sensing. 52(5). 2843–2857. 68 indexed citations
12.
Monteiro, Sildomar T., et al.. (2013). Combining strong features for registration of hyperspectral and lidar data from field-based platforms. 37. 1210–1213. 9 indexed citations
13.
Monteiro, Sildomar T., et al.. (2011). Feature selection with PSO and kernel methods for hyperspectral classification. 3. 1762–1769. 8 indexed citations
14.
Kadkhodaie, Ali, Sildomar T. Monteiro, Fábio Ramos, & Peter Hatherly. (2010). Rock Recognition From MWD Data: A Comparative Study of Boosting, Neural Networks, and Fuzzy Logic. IEEE Geoscience and Remote Sensing Letters. 7(4). 680–684. 63 indexed citations
15.
Nieto, Juan, et al.. (2010). 3D geological modelling using laser and hyperspectral data. 4568–4571. 20 indexed citations
16.
Monteiro, Sildomar T., Fábio Ramos, & Peter Hatherly. (2009). Conditional Random Fields for Rock Characterization Using Drill Measurements. 366–371. 5 indexed citations
17.
Schneider, Sven, Richard J. Murphy, Sildomar T. Monteiro, & Eric Nettleton. (2009). On the development of a hyperspectral library for autonomous mining systems. 12 indexed citations
18.
Monteiro, Sildomar T. & Yoshiko Kosugi. (2007). Particle Swarms for Feature Extraction of Hyperspectral Data. IEICE Transactions on Information and Systems. E90-D(7). 1038–1046. 11 indexed citations
19.
Monteiro, Sildomar T., et al.. (2006). Feature Extraction of Hyperspectral Data for under Spilled Blood Visualization Using Particle Swarm Optimization. Tokyo Tech Research Repository (Tokyo Institute of Technology). 7 indexed citations
20.
Monteiro, Sildomar T., Kuniaki Uto, Yukio Kosugi, Nobuyuki Kobayashi, & Eiju Watanabe. (2006). Optimization of Infrared Spectral Manipulation for Surgical Visual Aid. 8(1). 33–38. 5 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yanni Dong Breakdown of academic impact, for papers by Arman Melkumyan Breakdown of academic impact, for papers by Tatyana V. Bandos Breakdown of academic impact, for papers by Mingming Xu Breakdown of academic impact, for papers by Li Ni Breakdown of academic impact, for papers by Jianwei Ding Breakdown of academic impact, for papers by Zhongwei Li Breakdown of academic impact, for papers by Li Wei Breakdown of academic impact, for papers by Wei Yao Breakdown of academic impact, for papers by Si-Bao Chen
Rankless by CCL
2026