Hamid Hamraz
Impact in
- Environmental Engineering top 2%
- Remote Sensing and LiDAR Applications
- Media Technology top 10%
- Remote-Sensing Image Classification
Papers in
-
- Remote Sensing and LiDAR Applications 7
-
- Remote-Sensing Image Classification 1
- Co-authors
- Marco A. Contreras (5 shared papers)Jun Zhang (4 shared papers)Nathan Jacobs (1 shared paper)Sassan S Saatchi (1 shared paper)Alexandre Piboule (1 shared paper)Grégoire Vincent (1 shared paper)Mélaine Aubry‐Kientz (1 shared paper)António Ferraz (1 shared paper)
- Journals
- ISPRS Journal of Photogrammetry and Remote Sensing (2 papers)International Journal of Applied Earth Observation and Geoinformation (1 paper)Computers & Geosciences (1 paper)Remote Sensing (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesFrench GuianaUnited Kingdom
In The Last Decade
Hamid Hamraz
9 papers receiving 427 citations
Peers
Comparison fields: 5 of 28
- Environmental Engineering 376
- Media Technology 41
- Space and Planetary Science 3
- Instrumentation 6
- Geology 11
Countries citing papers authored by Hamid Hamraz
This map shows the geographic impact of Hamid Hamraz'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 Hamid Hamraz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamid Hamraz more than expected).
Fields of papers citing papers by Hamid Hamraz
This network shows the impact of papers produced by Hamid Hamraz. 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 Hamid Hamraz. The network helps show where Hamid Hamraz may publish in the future.
Co-authors
The 9 scholars most cited alongside Hamid Hamraz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 101 | |
| 2 | 2017 | 90 | |
| 3 | 2019 | 83 | |
| 4 | 2016 | 74 | |
| 5 | 2017 | 72 | |
| 6 | 2017 | 15 | |
| 7 | 2006 | 2 | |
| 8 | 2014 | 1 | |
| 9 | 2018 | 1 |
About Hamid Hamraz
Hamid Hamraz is a scholar working on Environmental Engineering, Media Technology, Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence, having authored 9 papers that have together received 439 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (7 papers), Handwritten Text Recognition Techniques (1 paper), Remote-Sensing Image Classification (1 paper), Image Retrieval and Classification Techniques (1 paper), Data Mining and Machine Learning Applications (1 paper), Machine Learning and Data Classification (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Environmental Engineering (376 citations), Media Technology (41 citations), Space and Planetary Science (3 citations), Instrumentation (6 citations) and Geology (11 citations). Hamid Hamraz has collaborated with scholars based in United States, French Guiana and United Kingdom. Frequent co-authors include Marco A. Contreras, Jun Zhang, Nathan Jacobs, Sassan S Saatchi, Alexandre Piboule, Grégoire Vincent, Mélaine Aubry‐Kientz, António Ferraz and David A. Coomes. Their work appears in journals such as ISPRS Journal of Photogrammetry and Remote Sensing, International Journal of Applied Earth Observation and Geoinformation, Computers & Geosciences, Remote Sensing and Scientific Reports.
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.