Computer and Robot Vision
Impact in
- Media Technology 387
Classified as
- Authors
- Linda G. Shapiro
- Journal
- Addison-Wesley Longman Publishing Co., Inc. eBooks
In The Last Decade
doi.org/w4538046 →Countries where authors are citing Computer and Robot Vision
This map shows the geographic impact of Computer and Robot Vision. 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 Computer and Robot Vision with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computer and Robot Vision more than expected).
Fields of papers citing Computer and Robot Vision
This network shows the impact of Computer and Robot Vision. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Computer and Robot Vision.
About Computer and Robot Vision
This paper, published in 1991, received 2.8k indexed citations . Written by Linda G. Shapiro covering the research area of Aerospace Engineering and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (1.7k citations), Media Technology (387 citations), Aerospace Engineering (339 citations), Artificial Intelligence (305 citations) and Radiology, Nuclear Medicine and Imaging (201 citations). Published in Addison-Wesley Longman Publishing Co., Inc. eBooks.
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/w4538046.