Journal of Experimental & Theoretical Artificial Intelligence

Journal Abbreviation: J EXP THEOR ARTIF IN
Journal ISSN: 0952-813X

About Journal of Experimental & Theoretical Artificial Intelligence

    Journal of Experimental & Theoretical Artificial Intelligence (JETAI) is advancing scientific research in artificial intelligence (AI) by providing a public forum for the presentation, evaluation and criticism of research results, the discussion of methodological issues, and the communication of positions, preliminary findings and research directions. JETAI features work in all subfields of AI research that adopts a scientific rather than engineering methodology, focusing on work in cognitive science, problem-solving, perception, learning, knowledge representation, memory and neural system modelling. All papers are peer-reviewed.
Year Bioxbio Journal Impact* IF Total Articles Total Cites
2019/2020 - 2.039 43 806
2018 - 2.111 54 674
2017 - 1.011 74 538
2016 - 1.384 52 435
2015 - 1.703 37 350
2014 - 1.000 30 271
2013 - 0.527 34 218
2012 - 0.317 29 182
2011 - 0.333 26 175
2010 - 0.655 15 207