Salah Sukkarieh

150 papers and 5.3k indexed citations i.

About

Salah Sukkarieh is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Salah Sukkarieh has authored 150 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Aerospace Engineering, 58 papers in Computer Vision and Pattern Recognition and 47 papers in Artificial Intelligence. Recurrent topics in Salah Sukkarieh’s work include Robotics and Sensor-Based Localization (50 papers), Robotic Path Planning Algorithms (40 papers) and Target Tracking and Data Fusion in Sensor Networks (33 papers). Salah Sukkarieh is often cited by papers focused on Robotics and Sensor-Based Localization (50 papers), Robotic Path Planning Algorithms (40 papers) and Target Tracking and Data Fusion in Sensor Networks (33 papers). Salah Sukkarieh collaborates with scholars based in Australia, China and Spain. Salah Sukkarieh's co-authors include Brett M. Whelan, Anna Chlingaryan, Kwangjin Yang, Hugh Durrant‐Whyte, Mitch Bryson, E. Nebot, He Kong, Jonghyuk Kim, Yongliang Qiao and Calvin Hung and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Sensors.

In The Last Decade

Co-authorship network of co-authors of Salah Sukkarieh i

Fields of papers citing papers by Salah Sukkarieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Salah Sukkarieh

Since Specialization
Citations

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