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Amit Mishra, Vibhuti Tripathi: From Mobile Trading to Intelligent Investing:
                                            A Bibliometric  and Thematic Review of AI-Driven Financial Investments


                    According to his academic profiles on Scopus Database, he has published more than
                    340 research publications and received over 4,400 citations, with an h-index of 32.
                    Followed by Serhat Yuksel,  Hasan Dinçer (9 Documents), Serkan Eti (8 Documents),
                    Gang Kou (4 Documents), Dragan Pamucar (4 Documents), are the top five leading
                    contributors in the Retail investments on mobile trading applications for investment
                    decisions. With respect to citation impact, Arvind ashta and Heinz Herrmann were
                    topped the list as most influential author each received 288 citations each followed by
                    Ana Maria Esteves (162 Citations), Frank Vanclay (162 Citations), and Manchuna
                    Shanmuganathan (157 Citations).

                    3.5  Most Cited Articles
                    The most cited articles within the domain are mainly focus on the investment behavior of
                    retail investors and growing adoption of rapid advancement of technology in financial
                    decision making. Among 243 articles retrieved, Ashta and Herrmann (2021) has received
                    the highest citations count of 288.

                    Table 3: Most Cited Articles
                    S.No   Author                                Title                     Citations
                      1    Ashta and         “Artificial  intelligence  and  fintech:  An  overview  of   288
                           Herrmann (2021)   opportunities and risks for banking, investments, and
                                             microfinance”
                      2    Shanmuganathan    “Behavioural finance in an era of artificial intelligence:   157
                           (2020)            Longitudinal case study of robo-advisors in investment
                                             decisions”
                      3    (Tao et al., 2021)   “Robo  advisors,  algorithmic  trading  and  investment   134
                                             management: Wonders of fourth industrial revolution
                                             in financial markets”
                      4    Wang et al. (2025)   “Does  Artificial  Intelligence  (AI)  enhance  green   109
                                             economy efficiency? The role of green finance, trade
                                             openness, and R&D investment”
                      5    Brunen and        “Do sustainable consumers prefer socially responsible   72
                           Laubach (2022)    investments?  A  study  among  the  users  of  robo
                                             advisors”
                      6    Hyun and Kim      “Ai  robo-advisor  anthropomorphism:  The  impact  of   67
                           (2023)            anthropomorphic  appeals  and  regulatory  focus  on
                                             investment behaviors”
                      7    Uhl and Rohner    “Robo-advisors versus traditional investment advisors:   63
                           (2018)            An unequal game”
                      8    Mohammed et al.   “The  role  of  artificial  intelligence  and  fintech  in   62
                           (2024)            promoting  eco-friendly  investments  and  non-
                                             greenwashing practices in the US market”
                      9    Bhatia et al. (2022)   “Digital innovation in wealth management landscape:   61
                                             the  moderating  role  of  robo  advisors  in  behavioural
                                             biases and investment decision-making”
                     10    Hong et al. (2023)   “Robo-advisors   and   investment   intention:   A   61
                                             perspective of value-based adoption”




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