Occlusion-Aware R-CNN: Detecting Pedestrians in a Crowd
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doi.org/10.1007/978-3-030-01219-9_39 →Countries where authors are citing Occlusion-Aware R-CNN: Detecting Pedestrians in a Crowd
This map shows the geographic impact of Occlusion-Aware R-CNN: Detecting Pedestrians in a Crowd. 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 Occlusion-Aware R-CNN: Detecting Pedestrians in a Crowd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Occlusion-Aware R-CNN: Detecting Pedestrians in a Crowd more than expected).
Fields of papers citing Occlusion-Aware R-CNN: Detecting Pedestrians in a Crowd
This network shows the impact of Occlusion-Aware R-CNN: Detecting Pedestrians in a Crowd. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Occlusion-Aware R-CNN: Detecting Pedestrians in a Crowd.
About Occlusion-Aware R-CNN: Detecting Pedestrians in a Crowd
This paper, published in 2018, received 347 indexed citations . Written by Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei and Stan Ziqing Li covering the research area of Artificial Intelligence and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (316 citations), Artificial Intelligence (75 citations), Automotive Engineering (61 citations), Safety, Risk, Reliability and Quality (39 citations) and Ocean Engineering (20 citations). Published in Lecture notes in computer science.
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/10.1007/978-3-030-01219-9_39.