Intelligent Service Robotics

519 papers and 5.9k indexed citations i.

About

The 519 papers published in Intelligent Service Robotics in the last decades have received a total of 5.9k indexed citations. Papers published in Intelligent Service Robotics usually cover Computer Vision and Pattern Recognition (234 papers), Control and Systems Engineering (192 papers) and Aerospace Engineering (156 papers) specifically the topics of Robotic Path Planning Algorithms (155 papers), Robotics and Sensor-Based Localization (132 papers) and Robot Manipulation and Learning (91 papers). The most active scholars publishing in Intelligent Service Robotics are Sylvain Calinon, Dongkyoung Chwa, Maja J. Matarić, Adriana Tapus, Cristian Ţăpuş, Muhammad Asghar Khan, Mohammed H. Alsharif, Yanlong Li, Syed Agha Hassnain Mohsan and Nawaf Qasem Hamood Othman.

In The Last Decade

Fields of papers published in Intelligent Service Robotics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Intelligent Service Robotics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Intelligent Service Robotics.

Countries where authors publish in Intelligent Service Robotics

Since Specialization
Citations

This map shows the geographic impact of research published in Intelligent Service Robotics. 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 papers published in Intelligent Service Robotics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Intelligent Service Robotics 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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