ImageJ: Image processing and analysis in Java
Impact in
- Ecology 49
Classified as
- Authors
- Wayne Rasband
- Journal
- Astrophysics Source Code Library
In The Last Decade
doi.org/w6693659 →Countries where authors are citing ImageJ: Image processing and analysis in Java
This map shows the geographic impact of ImageJ: Image processing and analysis in Java. 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 ImageJ: Image processing and analysis in Java with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ImageJ: Image processing and analysis in Java more than expected).
Fields of papers citing ImageJ: Image processing and analysis in Java
This network shows the impact of ImageJ: Image processing and analysis in Java. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the ImageJ: Image processing and analysis in Java.
About ImageJ: Image processing and analysis in Java
This paper, published in 2012, received 353 indexed citations . Written by Wayne Rasband covering the research area of Artificial Intelligence, Biomedical Engineering and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Ecology (49 citations), Plant Science (42 citations), Biomedical Engineering (32 citations), Ecology, Evolution, Behavior and Systematics (31 citations) and Molecular Biology (31 citations). Published in Astrophysics Source Code Library.
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/w6693659.