A Mathmematical Introduction to Robotic Manipulation

2.1k indexed citations
published 1994

Countries where authors are citing A Mathmematical Introduction to Robotic Manipulation

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This map shows the geographic impact of A Mathmematical Introduction to Robotic Manipulation. 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 A Mathmematical Introduction to Robotic Manipulation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Mathmematical Introduction to Robotic Manipulation more than expected).

Fields of papers citing A Mathmematical Introduction to Robotic Manipulation

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of A Mathmematical Introduction to Robotic Manipulation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A Mathmematical Introduction to Robotic Manipulation.

About A Mathmematical Introduction to Robotic Manipulation

This paper, published in 1994, received 2.1k indexed citations . Written by Richard M. Murray, Zexiang Li and S. Shankar Sastry covering the research area of Control and Systems Engineering. It is primarily cited by scholars working on Control and Systems Engineering (1.5k citations), Biomedical Engineering (720 citations) and Computer Vision and Pattern Recognition (505 citations).

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.

This paper is also available at doi.org/w91245935.

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