Neural Networks (IJCNN), The 2011 International Joint Conference on
In The Last Decade
doi.org/w4835045 →Countries where authors are citing Neural Networks (IJCNN), The 2011 International Joint Conference on
This map shows the geographic impact of Neural Networks (IJCNN), The 2011 International Joint Conference on. 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 Neural Networks (IJCNN), The 2011 International Joint Conference on with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neural Networks (IJCNN), The 2011 International Joint Conference on more than expected).
Fields of papers citing Neural Networks (IJCNN), The 2011 International Joint Conference on
This network shows the impact of Neural Networks (IJCNN), The 2011 International Joint Conference on. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Neural Networks (IJCNN), The 2011 International Joint Conference on.
About Neural Networks (IJCNN), The 2011 International Joint Conference on
This paper, published in 2011, received 377 indexed citations . Written by Reeju Pokharel, Sohan Seth and J.C. Principe. It is primarily cited by scholars working on Artificial Intelligence (165 citations), Computer Vision and Pattern Recognition (90 citations) and Electrical and Electronic Engineering (65 citations).
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/w4835045.