CGC: a Scalable Python Package for Co- and Tri-Clustering of Geodata Cubes. - Francesco Nattino; Ou Ku; Meiert W. Grootes; Emma Izquierdo-Verdiguier; Serkan Girgin; Raúl Zurita-Milla (J. Open Source Softw., 2022)

IDeaMapSudan: Geo-Spatial Modelling of Urban Poverty. - Monika Kuffer; Inas M. M. Ali; Asgad Gummah; Andre Da Silva Mano; Wafa Sakhi; Ibrahim Kushieb; Serkan Girgin; Nuha Eltiny; Julia Kumi; Mosub Abdallah; Maysoon Bad; Fatima Ahmed; et al. (JURSE, 2023)

Automated Python workflow for generating Sentinel-1 PSI and SBAS interferometric stacks using SNAP on Geospatial Computing Platform. - Amira Zaki; Ling Chang; Irene Manzella; Mark van der Meijde; Serkan Girgin; Hakan Tanyas; Islam Fadel (Environ. Model. Softw., 2024)

Creating and leveraging SAR benchmark datasets to facilitate machine learning application. - Xu Zhang; Ling Chang; Serkan Girgin; Alfred Stein (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Towards an open soil-plant digital twin based on STEMMUS-SCOPE model following open science. - Yijian Zeng; Fakhereh Alidoost; Bart Schilperoort; Yang Liu; Stefan Verhoeven; Meiert W. Grootes; Yunfei Wang; Zengjing Song; Danyang Yu; Enting Tang; Qianqian Han; Lianyu Yu; et al. (Comput. Geosci., 2025)