Pedestrian detection at 100 frames per second
Impact in
Classified as
- Journal
- Lirias (KU Leuven)
In The Last Decade
doi.org/10.1109/cvpr.2012.6248017 →Countries where authors are citing Pedestrian detection at 100 frames per second
This map shows the geographic impact of Pedestrian detection at 100 frames per second. 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 Pedestrian detection at 100 frames per second with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedestrian detection at 100 frames per second more than expected).
Fields of papers citing Pedestrian detection at 100 frames per second
This network shows the impact of Pedestrian detection at 100 frames per second. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Pedestrian detection at 100 frames per second.
About Pedestrian detection at 100 frames per second
This paper, published in 2012, received 359 indexed citations . Written by R.E. Benenson, Markus Mathias and Radu Timofte covering the research area of Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (340 citations), Artificial Intelligence (65 citations), Automotive Engineering (55 citations), Aerospace Engineering (49 citations) and Electrical and Electronic Engineering (30 citations). Published in Lirias (KU Leuven).
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/10.1109/cvpr.2012.6248017.