Learning Automata: An Introduction
- Authors
- Kumpati S. Narendra
- Journal
- CERN Bulletin
In The Last Decade
doi.org/w77204692 →Countries where authors are citing Learning Automata: An Introduction
This map shows the geographic impact of Learning Automata: An Introduction. 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 Learning Automata: An Introduction with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Learning Automata: An Introduction more than expected).
Fields of papers citing Learning Automata: An Introduction
This network shows the impact of Learning Automata: An Introduction. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Learning Automata: An Introduction.
About Learning Automata: An Introduction
This paper, published in 1989, received 1.1k indexed citations . Written by Kumpati S. Narendra covering the research area of Computer Networks and Communications, Artificial Intelligence and Computational Theory and Mathematics. It is primarily cited by scholars working on Computer Networks and Communications (649 citations), Artificial Intelligence (429 citations) and Electrical and Electronic Engineering (182 citations). Published in CERN Bulletin.
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/w77204692.