Daniel Haziza

4 papers and 173 indexed citations i.

About

Daniel Haziza is a scholar working on Artificial Intelligence, Ecology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Haziza has authored 4 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Ecology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Haziza’s work include Remote Sensing and LiDAR Applications (1 paper), Video Analysis and Summarization (1 paper) and Metaheuristic Optimization Algorithms Research (1 paper). Daniel Haziza is often cited by papers focused on Remote Sensing and LiDAR Applications (1 paper), Video Analysis and Summarization (1 paper) and Metaheuristic Optimization Algorithms Research (1 paper). Daniel Haziza collaborates with scholars based in France, United States and Israel. Daniel Haziza's co-authors include Francois Belletti, Gabriel Gomes, Alexandre M. Bayen, Camille Couprie, John T. Brandt, Guillaume Couairon, Théo Moutakanni, Brian White, Benjamin Nosarzewski and Piotr Bojanowski and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Intelligent Transportation Systems and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Co-authorship network of co-authors of Daniel Haziza i

Fields of papers citing papers by Daniel Haziza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Daniel Haziza

Since Specialization
Citations

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).

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.

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