Scan registration for autonomous mining vehicles using 3D‐NDT
- Journal
- Journal of Field Robotics
In The Last Decade
doi.org/10.1002/rob.20204 →Countries where authors are citing Scan registration for autonomous mining vehicles using 3D‐NDT
This map shows the geographic impact of Scan registration for autonomous mining vehicles using 3D‐NDT. 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 Scan registration for autonomous mining vehicles using 3D‐NDT with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scan registration for autonomous mining vehicles using 3D‐NDT more than expected).
Fields of papers citing Scan registration for autonomous mining vehicles using 3D‐NDT
This network shows the impact of Scan registration for autonomous mining vehicles using 3D‐NDT. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Scan registration for autonomous mining vehicles using 3D‐NDT.
About Scan registration for autonomous mining vehicles using 3D‐NDT
This paper, published in 2007, received 562 indexed citations . Written by Martin Magnusson, Achim J. Lilienthal and Tom Duckett covering the research area of Geology, Aerospace Engineering and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Aerospace Engineering (481 citations), Computer Vision and Pattern Recognition (275 citations) and Geology (264 citations). Published in Journal of Field Robotics.
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/10.1002/rob.20204.