Robust real-time object detection.
- Authors
- Paul Viola
In The Last Decade
doi.org/w7178564 →Countries where authors are citing Robust real-time object detection.
This map shows the geographic impact of Robust real-time object detection.. 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 Robust real-time object detection. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robust real-time object detection. more than expected).
Fields of papers citing Robust real-time object detection.
This network shows the impact of Robust real-time object detection.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Robust real-time object detection..
About Robust real-time object detection.
This paper, published in 2001, received 1.6k indexed citations . Written by Paul Viola covering the research area of Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (1.3k citations), Artificial Intelligence (239 citations) and Signal Processing (228 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/w7178564.