Learning OpenCV 3 computer vision in C++ with the OpenCV library
- Authors
- Adrian KaehlerGary Bradski
- Journal
- CERN Document Server (European Organization for Nuclear Research)
In The Last Decade
doi.org/w71414867 →Countries where authors are citing Learning OpenCV 3 computer vision in C++ with the OpenCV library
This map shows the geographic impact of Learning OpenCV 3 computer vision in C++ with the OpenCV library. 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 Learning OpenCV 3 computer vision in C++ with the OpenCV library with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Learning OpenCV 3 computer vision in C++ with the OpenCV library more than expected).
Fields of papers citing Learning OpenCV 3 computer vision in C++ with the OpenCV library
This network shows the impact of Learning OpenCV 3 computer vision in C++ with the OpenCV library. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Learning OpenCV 3 computer vision in C++ with the OpenCV library.
About Learning OpenCV 3 computer vision in C++ with the OpenCV library
This paper, published in 2016, received 404 indexed citations . Written by Adrian Kaehler and Gary Bradski. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (199 citations), Aerospace Engineering (93 citations) and Electrical and Electronic Engineering (42 citations). Published in CERN Document Server (European Organization for Nuclear Research).
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/w71414867.