LOAM: Lidar Odometry and Mapping in Real-time
- Authors
- Ji ZhangSanjiv Singh
In The Last Decade
doi.org/10.15607/rss.2014.x.007 →Countries where authors are citing LOAM: Lidar Odometry and Mapping in Real-time
This map shows the geographic impact of LOAM: Lidar Odometry and Mapping in Real-time. 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 LOAM: Lidar Odometry and Mapping in Real-time with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites LOAM: Lidar Odometry and Mapping in Real-time more than expected).
Fields of papers citing LOAM: Lidar Odometry and Mapping in Real-time
This network shows the impact of LOAM: Lidar Odometry and Mapping in Real-time. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the LOAM: Lidar Odometry and Mapping in Real-time.
About LOAM: Lidar Odometry and Mapping in Real-time
This paper, published in 2014, received 2.0k indexed citations . Written by Ji Zhang and Sanjiv Singh covering the research area of Instrumentation, Aerospace Engineering and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Aerospace Engineering (1.8k citations), Computer Vision and Pattern Recognition (1.0k citations) and Geology (790 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/10.15607/rss.2014.x.007.