GITT+ (bayesvl/BMF) applications

This page provides brief bibliographic data of publications using GITT+ analytics (incld. bayesvl and BMF analytics). Thus far, the GITT+ analytics has enabled over 200 authors coming from 30 countries to publish 130+ peer-reviewed research studies, and counting.

A special note on GITT+: The publications listed below either used bayesvl / BMF analytics for quantitative modeling [QT] or their logic, together with their “derivatives”, MT / GITT / Value Theory (VT) / NQ, for qualitative reasoning [QL]. Together, the bayesvl / BMF / MT / GITT / VT / NQ constitute our methodological approach to interdisciplinary research, and they are called GITT+ for short. Only publications that substantially employ this GITT+ analytical approach (especially in methodological aspects) are counted.

(Last updated: Dec 23, 2025)

Annual summary (pdf): 2026: 2 (in progress) | 2025: 46 | 2024: 31 | 2023: 18 | 2022: 9 | 2021: 16 | 2020: 6 | 2019: 4

[QT] 2026. J of Env Management. Identifying potential service flow and actual service flow. https://doi.org/10.1016/j.jenvman.2025.127931

[QT] 2026. Cleaner and Responsible Consumption. From baseline expectations to high-barrier signals. https://doi.org/10.1016/j.clrc.2025.100369