Data Sources and Bibliometric Collection
The 5th edition of the Research.com Best Social Sciences and Humanities Scientists in Mexico Ranking is founded on meticulously curated data primarily sourced from OpenAlex and CrossRef, complemented by multiple other reputable bibliometric databases. These platforms represent some of the largest and most comprehensive repositories of scholarly publication metadata available to the global research community. Bibliometric data utilized for calculating the citation-based metrics—including citations, publication counts, and impact measures—were collected as of January 12, 2026. A scientist’s position within the ranking is determined by their Discipline H-index, or D-index, which selectively accounts for papers and citation metrics strictly within the specific discipline under examination, thereby ensuring a precise reflection of disciplinary expertise and impact.
Scope and Inclusion Criteria
This ranking evaluates an extensive pool of 279,971 scientist profiles compiled from diverse bibliometric sources encompassing all academic disciplines worldwide, including over 3,000 scientists specializing in the Social Sciences and Humanities in Mexico. For inclusion in this focused ranking, candidates must meet a minimum D-index threshold of 30, ensuring consideration only of researchers with significant disciplinary impact. Additionally, to assure alignment with the Social Sciences and Humanities domain, the majority of an eligible scientist’s tier publications must fall within this disciplinary area. Awards and notable achievements recognized specifically within the Social Sciences and Humanities further inform the selection process.
The D-index threshold varies incrementally by 10 points relative to the estimated total number of scholars in each discipline, a calibrated approach that guarantees the inclusion of the top 1% of leading experts within each field. To maintain consistency and disciplinary relevance, a candidate’s general H-index and D-index must differ by no more than 30%, thus verifying that their scholarly influence is primarily rooted in the examined subject area.
Verification and Methodological Rigor
Recognizing the limitations of raw bibliometric data as an absolute tool for evaluating academic output, the Research.com team undertook extensive manual verification of all scientist profiles included in the ranking. Each profile was cross-checked against publications indexed in a broad spectrum of authoritative and trustworthy sources to validate accuracy and authenticity.
Although the ranking algorithm is exclusively based on the D-index derived from OpenAlex and CrossRef data, the number of papers published in prestigious journals and conference proceedings serves as an important secondary indicator of a researcher’s contribution to their field. This multi-layered verification and cross-correlation process exemplifies the dedication to precision and reliability that underpins the ranking.
The final positioning of scientists is firmly anchored in citation data from the most prominent and respected bibliometric databases available, namely OpenAlex and CrossRef. Readers are encouraged to consult our methodology page to gain deeper insight into the comprehensive evaluation process.
Research.com’s Mission and Vision
The creation of this ranking aligns with Research.com’s overarching mission to foster a culture of transparency and informed decision-making in academia, industry, and policy. By identifying and showcasing Mexico’s leading Social Sciences and Humanities experts, the ranking serves as a vital tool to motivate researchers, corporations, and policymakers around the world to track emerging trends and thought leadership.
More broadly, Research.com aspires to provide the global scientific community with an accessible, authoritative means of recognizing top talent across disciplines, countries, and institutions. This contributes to enhanced collaboration, resource allocation, and strategic development within the research ecosystem, thereby advancing collective scientific progress.
