Medical Image Computing and Computer-Assisted Intervention
- Journal
- Research Explorer (The University of Manchester)
In The Last Decade
doi.org/w3051363 →Countries where authors are citing Medical Image Computing and Computer-Assisted Intervention
This map shows the geographic impact of Medical Image Computing and Computer-Assisted Intervention. 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 Medical Image Computing and Computer-Assisted Intervention with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Medical Image Computing and Computer-Assisted Intervention more than expected).
Fields of papers citing Medical Image Computing and Computer-Assisted Intervention
This network shows the impact of Medical Image Computing and Computer-Assisted Intervention. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Medical Image Computing and Computer-Assisted Intervention.
About Medical Image Computing and Computer-Assisted Intervention
This paper, published in 2009, received 1.3k indexed citations . Written by Gao Yang, David J. Hawkes, Daniel Rueckert and Chris Taylor. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (546 citations), Radiology, Nuclear Medicine and Imaging (455 citations) and Artificial Intelligence (294 citations). Published in Research Explorer (The University of Manchester).
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/w3051363.