Kamel Mekhnacha

About

Kamel Mekhnacha is a scholar working on Artificial Intelligence, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kamel Mekhnacha has authored 10 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Aerospace Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kamel Mekhnacha’s work include Target Tracking and Data Fusion in Sensor Networks (4 papers), AI-based Problem Solving and Planning (3 papers) and Robotics and Sensor-Based Localization (3 papers). Kamel Mekhnacha is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (4 papers), AI-based Problem Solving and Planning (3 papers) and Robotics and Sensor-Based Localization (3 papers). Kamel Mekhnacha collaborates with scholars based in France, United States and Germany. Kamel Mekhnacha's co-authors include Christian Laugier, Christopher Tay, Yong Mao, John-David Yoder, Mathias Perrollaz, I.E. Paromtchik, Amaury Nègre, Pierre Bessìère, Emmanuel Mazer and Manuel Yguel and has published in prestigious journals such as Advanced Robotics, IEEE Intelligent Transportation Systems Magazine and International Journal of Vehicle Autonomous Systems.

In The Last Decade

Co-authorship network of co-authors of Kamel Mekhnacha i

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Fields of papers citing papers by Kamel Mekhnacha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kamel Mekhnacha. 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 Kamel Mekhnacha. The network helps show where Kamel Mekhnacha may publish in the future.

Countries citing papers authored by Kamel Mekhnacha

Since Specialization

Citations

This map shows the geographic impact of Kamel Mekhnacha'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 Kamel Mekhnacha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamel Mekhnacha 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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