Daniel Haziza
Impact in
- Transportation top 10%
- Transportation Planning and Optimization
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications
- Urban Heat Island Mitigation
Papers in
-
- Autonomous Vehicle Technology and Safety 1
- Co-authors
- Alexandre M. Bayen (1 shared paper)Francois Belletti (1 shared paper)Gabriel Gomes (1 shared paper)Sayantan Majumdar (1 shared paper)Brian White (1 shared paper)Guillaume Couairon (1 shared paper)Camille Couprie (1 shared paper)Huy V. Vo (1 shared paper)
- Journals
- Remote Sensing of Environment (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Daniel Haziza
3 papers receiving 271 citations
Daniel Haziza's Hit Papers
Peers
Comparison fields: 5 of 65
- Transportation 46
- Environmental Engineering 98
- Building and Construction 64
- Automotive Engineering 49
- Control and Systems Engineering 80
Countries citing papers authored by Daniel Haziza
This map shows the geographic impact of Daniel Haziza'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 Daniel Haziza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Haziza more than expected).
Fields of papers citing papers by Daniel Haziza
This network shows the impact of papers produced by Daniel Haziza. 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 Daniel Haziza. The network helps show where Daniel Haziza may publish in the future.
Co-authors
The 19 scholars most cited alongside Daniel Haziza, 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 | Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar Hit paper breakdown → | 2023 | 159 |
| 2 | 2017 | 113 | |
| 3 | 2020 | 5 |
About Daniel Haziza
Daniel Haziza is a scholar working on Nature and Landscape Conservation, Automotive Engineering, Control and Systems Engineering, Ecology and Artificial Intelligence, having authored 3 papers that have together received 277 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (1 paper), Advanced Multi-Objective Optimization Algorithms (1 paper), Remote Sensing in Agriculture (1 paper), Traffic control and management (1 paper), Smart Grid Security and Resilience (1 paper), Autonomous Vehicle Technology and Safety (1 paper), Remote Sensing and LiDAR Applications (1 paper) and Metaheuristic Optimization Algorithms Research (1 paper). The work is most often cited by research in Transportation (46 citations), Environmental Engineering (98 citations), Building and Construction (64 citations), Automotive Engineering (49 citations) and Control and Systems Engineering (80 citations). Daniel Haziza has collaborated with scholars based in United States and France. Frequent co-authors include Alexandre M. Bayen, Francois Belletti, Gabriel Gomes, Sayantan Majumdar, Brian White, Guillaume Couairon, Camille Couprie, Huy V. Vo, Tracy Johns and Piotr Bojanowski. Their work appears in journals such as Remote Sensing of Environment and IEEE Transactions on Intelligent Transportation Systems.
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.