Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average within
it), or reaches the top citation threshold in at least one of its specific research topics.
2023YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors
Countries citing papers authored by Alexey Bochkovskiy
Since Specialization
Citations
This map shows the geographic impact of Alexey Bochkovskiy's research. 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 Alexey Bochkovskiy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexey Bochkovskiy more than expected).
Fields of papers citing papers by Alexey Bochkovskiy
This network shows the impact of papers produced by Alexey Bochkovskiy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alexey Bochkovskiy. The network helps show where Alexey Bochkovskiy may publish in the future.
Co-authorship network
The 2 scholars most cited alongside Alexey Bochkovskiy, linked wherever they have
co-authored with each other. Click a name or a connecting line to browse the papers they
share.
Border = papers with Alexey BochkovskiyLine = papers co-authored togetherAlexey Bochkovskiy links everyone, so they are left out of the graph.
All Works
2 of 2 papers shown
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Work
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YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectorsbreakdown →
Alexey Bochkovskiy is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Aerospace Engineering, Infectious Diseases and Organic Chemistry, having authored 2 papers that have together received 7.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (2 papers), Advanced Neural Network Applications (2 papers), COVID-19 diagnosis using AI (1 paper) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (4.3k citations), Industrial and Manufacturing Engineering (1.2k citations), Media Technology (850 citations), Aerospace Engineering (1.3k citations) and Safety, Risk, Reliability and Quality (395 citations). Alexey Bochkovskiy has collaborated with scholars based in Taiwan and Germany. Frequent co-authors include Hong-Yuan Mark Liao and Chien-Yao Wang.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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