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A Bibliometric Survey on Tsetlin

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Rayudu Srinivas, P E S N Krishna Prasad
» doi: 10.31838/ecb/2023.12.si6.275


In this paper, Bibliometric survey has been carried out on Tsetlin. Tsetlin- an automaton that has learning capability developed M L Tsetlin in 1960s. Recently, Tsetline machines are developed and used in game theory, and may be used in many more upcoming technologies. Recent studies proved that the classification results obtained using Tseltin machines are competitive compared with Decision tree, Random Forest, Neural Networks, Support Vector Machine, Naïve Bayes Classifier and Logistic regression. When the search is made using key ‘Tsetlin’ in Scopus database, it shows 372 documents as a result. Scopus database is the most trusted database, so most of the researchers are publishing papers in journals cited by Scopus database. Hence, Scopus database is considered to conduct bibliometric analysis in this paper. The statistical analysis is carried out source wise, year wise, area wise, Country wise, University wise and author wise. Network analysis is also carried out using VOSviewer1.6.16 software. The Source for all tables and figures is www.scopus.com. The data is assessed on 24thJuly, 2021.

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