Neural network design
- Authors
- Martin HaganHoward B. Demuth
- Journal
- Institutional Repository of the National University Open and Distance UNAD (Universidad Nacional Abierta y a Distancia)
In The Last Decade
doi.org/w47873711 →Countries where authors are citing Neural network design
This map shows the geographic impact of Neural network design. 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 network design with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neural network design more than expected).
Fields of papers citing Neural network design
This network shows the impact of Neural network design. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Neural network design.
About Neural network design
This paper, published in 1995, received 4.0k indexed citations . Written by Martin Hagan and Howard B. Demuth covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (1.0k citations), Electrical and Electronic Engineering (677 citations) and Control and Systems Engineering (672 citations). Published in Institutional Repository of the National University Open and Distance UNAD (Universidad Nacional Abierta y a Distancia).
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/w47873711.