IJSP Number 7, 2025

International Journal of Supervision in Psychotherapy, Number 7, 2025 Page | 42 and Sundin's [12, 13] influence is also noteworthy. The more often their work is cited, the more likely group supervision models - as a substitute or complement - are becoming popular. Emphasizing the part of digital tools, feedback systems, and AI-driven support in modernizing supervision procedures, Murphy et al. [10] and Plakun [15] have also greatly added to the debate on technological advancements and evidence-based monitoring. Research on telehealth monitoring, video-based training, and technology-enhanced feedback systems is being cited more and more as supervision in response to digital revolution in mental health education changes. Trends in citation over several eras show how the emphasis of supervision research has changed. Competency-based models and developmental frameworks predominated early research (pre-2010), with high citation counts for studies establishing organized training approaches [29. F rom 2010 to 2017, relational elements of supervision - including the working alliance, nondisclosure, and power dynamics - gained traction with rising citations for researchers researching these interpersonal features [11 , 27. . More lately, between 2018 and 2024, technological developments, evidence-based monitoring, and cultural humility have climbed in citation impact, signifying an increasing interest in including technology and cultural responsiveness into supervising procedures [10, 15. I n line with more general trends in psychological and educational sciences, the growing citation of systematic reviews and meta-analyses points even more toward a change toward data-driven decision-making in supervision research. This bibliometric analysis offers important new perspectives on previous trends, present topics, and future directions in the discipline by mapping the intellectual structure of psychotherapy supervision research. From conventional competency-based models to more sophisticated, relational, and evidence-based methods, the citation and effect analysis highlight a distinct progression. Integrated, culturally sensitive, technologically advanced supervision models are becoming more and more important as research develops to satisfy the needs of contemporary clinical training. Future research should look at how newly developed technologies - such as virtual reality training simulations, artificial intelligence-assisted monitoring, and machine learning for performance evaluation - may improve the efficacy of monitoring still more. Research should also keep looking at how intersectionality, power, and institutionalized obstacles affect the supervising process so that training settings are fair, inclusive, and mirror of many points of view. The results of this citation and impact study ultimately act as a road map for developing psychotherapy supervision research, so ensuring that supervising practices remain scientifically informed, ethically grounded, and flexible enough to meet evolving needs of clinical trainees and mental health professionals. 4. DISCUSSION Four main theme clusters found by bibliometric analysis of psychotherapy supervision research reflect important trends and field advances. Emphasizing the relevance of competency-based supervision models, organized training, and professional development, the first cluster, foundations of supervision: competency, training, and development, stresses This result fits long-standing studies supporting evidence-based,