Neural and adaptive systems : fundamentals through simulations
- Journal
- CERN Document Server (European Organization for Nuclear Research)
In The Last Decade
doi.org/w9623797 →Countries where authors are citing Neural and adaptive systems : fundamentals through simulations
This map shows the geographic impact of Neural and adaptive systems : fundamentals through simulations. 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 and adaptive systems : fundamentals through simulations with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neural and adaptive systems : fundamentals through simulations more than expected).
Fields of papers citing Neural and adaptive systems : fundamentals through simulations
This network shows the impact of Neural and adaptive systems : fundamentals through simulations. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Neural and adaptive systems : fundamentals through simulations.
About Neural and adaptive systems : fundamentals through simulations
This paper, published in 2000, received 624 indexed citations . Written by José C. Prı́ncipe, Neil R. Euliano and William Lefebvre. It is primarily cited by scholars working on Artificial Intelligence (185 citations), Electrical and Electronic Engineering (98 citations) and Environmental Engineering (82 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/w9623797.