Divided We Stand Out! Forging Cohorts fOr Numeric Outlier Detection in Large Scale Knowledge Graphs (CONOD). - Hajira Jabeen; Rajjat Dadwal; Gezim Sejdiu; Jens Lehmann 001 (EKAW, 2018)

Clustering Pipelines of Large RDF POI Data. - Rajjat Dadwal; Damien Graux; Gezim Sejdiu; Hajira Jabeen; Jens Lehmann 001 (ESWC (Satellite Events), 2019)

An Adaptive Clustering Approach for Accident Prediction. - Rajjat Dadwal; Thorben Funke; Elena Demidova (ITSC, 2021)

W-trace: robust and effective watermarking for GPS trajectories. - Rajjat Dadwal; Thorben Funke; Michael Nüsken; Elena Demidova (SIGSPATIAL/GIS, 2022)

Using Vehicle Data to Enhance Prediction of Accident-Prone Areas. - Kelvin Sopnan Wowo; Rajjat Dadwal; Timo Graen; Andrea Fiege; Michael Nolting; Wolfgang Nejdl; Elena Demidova; Thorben Funke (ITSC, 2022)

A Multimodal and Multitask Approach for Adaptive Geospatial Region Embeddings. - Rajjat Dadwal; Ran Yu 001; Elena Demidova (PAKDD (5), 2024)

Towards Effective, Robust and Utility-preserving Watermarking of GPS Trajectories. - Rajjat Dadwal; Thorben Funke; Michael Nüsken; Elena Demidova (ACM Trans. Spatial Algorithms Syst., 2025)