Interpreting neural-network connection weights
Impact in
- Authors
- G. David Garson
In The Last Decade
doi.org/10.5555/129449.129452 →Countries where authors are citing Interpreting neural-network connection weights
This map shows the geographic impact of Interpreting neural-network connection weights. 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 Interpreting neural-network connection weights with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Interpreting neural-network connection weights more than expected).
Fields of papers citing Interpreting neural-network connection weights
This network shows the impact of Interpreting neural-network connection weights. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Interpreting neural-network connection weights.
About Interpreting neural-network connection weights
This paper, published in 1991, received 1.3k indexed citations . Written by G. David Garson. It is primarily cited by scholars working on Civil and Structural Engineering (296 citations), Environmental Engineering (189 citations), Artificial Intelligence (177 citations), Mechanical Engineering (154 citations) and Water Science and Technology (152 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/10.5555/129449.129452.