Proceedings of the 3rd International Conference on Neural Information Processing Systems
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doi.org/w86758596 →Countries where authors are citing Proceedings of the 3rd International Conference on Neural Information Processing Systems
This map shows the geographic impact of Proceedings of the 3rd International Conference on Neural Information Processing Systems. 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 Proceedings of the 3rd International Conference on Neural Information Processing Systems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Proceedings of the 3rd International Conference on Neural Information Processing Systems more than expected).
Fields of papers citing Proceedings of the 3rd International Conference on Neural Information Processing Systems
This network shows the impact of Proceedings of the 3rd International Conference on Neural Information Processing Systems. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Proceedings of the 3rd International Conference on Neural Information Processing Systems.
About Proceedings of the 3rd International Conference on Neural Information Processing Systems
This paper, published in 1990, received 998 indexed citations . Written by Richard P. Lippmann, John Moody and David S. Touretzky. It is primarily cited by scholars working on Artificial Intelligence (483 citations), Computer Vision and Pattern Recognition (269 citations), Molecular Biology (82 citations), Information Systems (81 citations) and Signal Processing (68 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/w86758596.