Image and Vision Computing
About
In The Last Decade
Image and Vision Computing
3.6k papers receiving 89.5k citations
Fields of papers published in Image and Vision Computing
This network shows the impact of papers published in Image and Vision Computing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Image and Vision Computing.
Countries where authors publish in Image and Vision Computing
This map shows the geographic impact of research published in Image and Vision Computing. 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 papers published in Image and Vision Computing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Image and Vision Computing more than expected).
- Image registration methods: a survey (2003)
- Robust wide-baseline stereo from maximally stable extremal regions (2004)
- Object modelling by registration of multiple range images (1992)
- Introductory digital image processing: a remote sensing perspective (1986)
- Determination of displacements using an improved digital correlation method (1983)
- Facial expression recognition based on Local Binary Patterns: A comprehensive study (2008)
- A survey on vision-based human action recognition (2009)
- Multi-PIE (2009)
- Image encryption using chaotic logistic map (2006)
- Design of effective neural network ensembles for image classification purposes (2001)
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.