Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
- Journal
- CERN Document Server (European Organization for Nuclear Research)
In The Last Decade
doi.org/10.1007/b106267 →Countries where authors are citing Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
This map shows the geographic impact of Fuzzy Models and Algorithms for Pattern Recognition and Image Processing. 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 Fuzzy Models and Algorithms for Pattern Recognition and Image Processing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuzzy Models and Algorithms for Pattern Recognition and Image Processing more than expected).
Fields of papers citing Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
This network shows the impact of Fuzzy Models and Algorithms for Pattern Recognition and Image Processing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Fuzzy Models and Algorithms for Pattern Recognition and Image Processing.
About Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
This paper, published in 1999, received 904 indexed citations . Written by James C. Bezdek, James F. Keller, Raghu Krisnapuram and Nikhil R. Pal. It is primarily cited by scholars working on Artificial Intelligence (487 citations), Computer Vision and Pattern Recognition (367 citations) and Signal Processing (155 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/10.1007/b106267.