This study presents a bibliometric and gap analysis of parameter tuning (PT) in metaheuristics. PT is a critical sub-domain of metaheuristics, as parameters control various aspects of algorithms. The study analyzes PT approaches from 2002 to 2022 using the Scopus database. It includes a bibliometric analysis (BA) to provide a quantitative overview of the literature and a gap analysis (GA) to identify research voids. This is the first study to present BA and GA on PT methods. The BA offers a macroscopic view of PT literature, helping researchers identify gaps and guide future research. The study considers literature on general PT approaches but excludes studies focused on specific applications like energy conservation or logistics. The literature review shows a large number of PT strategies, highlighting the challenge of structuring this information. The study uses Algorithm 1 to retrieve data, with the data collected on November 9, 2022. The Scopus database is frequently updated, so results may vary with different search dates. The results include BA insights from 864 documents across authors, journals, institutes, etc., and a GA highlighting gaps in PT research. The study aims to provide a structured view of PT's applicability, relevance, and future scope. Keywords include bibliometric analysis, gap analysis, metaheuristics, parameter tuning, parameter setting, literature review, and Scopus. Abbreviations include BA, GA, PT, DOE, DACE, EA, ILS, and RSM.This study presents a bibliometric and gap analysis of parameter tuning (PT) in metaheuristics. PT is a critical sub-domain of metaheuristics, as parameters control various aspects of algorithms. The study analyzes PT approaches from 2002 to 2022 using the Scopus database. It includes a bibliometric analysis (BA) to provide a quantitative overview of the literature and a gap analysis (GA) to identify research voids. This is the first study to present BA and GA on PT methods. The BA offers a macroscopic view of PT literature, helping researchers identify gaps and guide future research. The study considers literature on general PT approaches but excludes studies focused on specific applications like energy conservation or logistics. The literature review shows a large number of PT strategies, highlighting the challenge of structuring this information. The study uses Algorithm 1 to retrieve data, with the data collected on November 9, 2022. The Scopus database is frequently updated, so results may vary with different search dates. The results include BA insights from 864 documents across authors, journals, institutes, etc., and a GA highlighting gaps in PT research. The study aims to provide a structured view of PT's applicability, relevance, and future scope. Keywords include bibliometric analysis, gap analysis, metaheuristics, parameter tuning, parameter setting, literature review, and Scopus. Abbreviations include BA, GA, PT, DOE, DACE, EA, ILS, and RSM.