Aliakbar Akbari

20 papers and 213 indexed citations i.

About

Aliakbar Akbari is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Aliakbar Akbari has authored 20 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Control and Systems Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Aliakbar Akbari’s work include Robotic Path Planning Algorithms (13 papers), AI-based Problem Solving and Planning (7 papers) and Robot Manipulation and Learning (7 papers). Aliakbar Akbari is often cited by papers focused on Robotic Path Planning Algorithms (13 papers), AI-based Problem Solving and Planning (7 papers) and Robot Manipulation and Learning (7 papers). Aliakbar Akbari collaborates with scholars based in Spain, Iran and United Kingdom. Aliakbar Akbari's co-authors include Jan Rosell, Fabien Lagriffoul, Alexander Pérez, Lydia E. Kavraki, Caelan Reed Garrett, Neil T. Dantam, Sara Bernardini, Masoud Goharimanesh, Puneet Chhabra and Daniel Beßler and has published in prestigious journals such as Sensors, Applied Sciences and Robotics and Autonomous Systems.

In The Last Decade

Co-authorship network of co-authors of Aliakbar Akbari i

Fields of papers citing papers by Aliakbar Akbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aliakbar Akbari

Since Specialization
Citations

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