Prof. Dr. Jens-André Paffenholz

Technische Universität Clausthal

H-index: 13

Europe-Germany

About Prof. Dr. Jens-André Paffenholz

Prof. Dr. Jens-André Paffenholz, With an exceptional h-index of 13 and a recent h-index of 10 (since 2020), a distinguished researcher at Technische Universität Clausthal, specializes in the field of Laser Scanning, Registration, Sensor Fusion, Monitoring, Geodesy.

His recent articles reflect a diverse array of research interests and contributions to the field:

Guiding Deep Learning with Expert Knowledge for Dense Stereo Matching

Bayesian Robust Multivariate Time Series Analysis in Nonlinear Regression Models with Vector Autoregressive and t-Distributed Errors

On the quality checking of persistent scatterer interferometry data by spatial-temporal modelling

Data fusion of MEMS accelerometer and hydrostatic leveling for structural health monitoring. The test rig investigations

Soil Moisture Mapping Based on Temperature-Soil Moisture Dryness Index-a case study for the tailing dam in Brumadinho, Brazil

Comparative Analysis of Algorithms to Cleanse Soil Micro-Relief Point Clouds

Derivation of soil roughness using multi-temporal laser scanning point clouds

ROS im Multisensorsystem–Am Beispiel von geodätischen Anwendungen

Prof. Dr. Jens-André Paffenholz Information

University	Technische Universität Clausthal
Position	Full Professor for Geomatics at
Citations(all)	599
Citations(since 2020)	381
Cited By	375
hIndex(all)	13
hIndex(since 2020)	10
i10Index(all)	22
i10Index(since 2020)	15
Email	Access Email
University Profile Page	Technische Universität Clausthal
Google Scholar	View Google Scholar Profile

Prof. Dr. Jens-André Paffenholz Skills & Research Interests

Laser Scanning

Registration

Sensor Fusion

Monitoring

Geodesy

Top articles of Prof. Dr. Jens-André Paffenholz

Title	Journal	Author(s)	Publication Date
Guiding Deep Learning with Expert Knowledge for Dense Stereo Matching	PFG–Journal of Photogrammetry, Remote Sensing and Geoinformation Science	Waseem Iqbal Jens-André Paffenholz Max Mehltretter	2023/10
Bayesian Robust Multivariate Time Series Analysis in Nonlinear Regression Models with Vector Autoregressive and t-Distributed Errors		Alexander Dorndorf Boris Kargoll Jens-André Paffenholz Hamza Alkhatib	2023/9/6
On the quality checking of persistent scatterer interferometry data by spatial-temporal modelling	Journal of Applied Geodesy	Mohammad Omidalizarandi Bahareh Mohammadivojdan Hamza Alkhatib Jens-André Paffenholz Ingo Neumann	2023/4/25
Data fusion of MEMS accelerometer and hydrostatic leveling for structural health monitoring. The test rig investigations	5th Joint International Symposium on Deformation Monitoring (JISDM 2022)	Leonhard Pleuger Mario Haupt Jens-André Paffenholz	2023/1/27
Soil Moisture Mapping Based on Temperature-Soil Moisture Dryness Index-a case study for the tailing dam in Brumadinho, Brazil	5th Joint International Symposium on Deformation Monitoring (JISDM 2022)	Yu Lan Jens-André Paffenholz	2023/1/27
Comparative Analysis of Algorithms to Cleanse Soil Micro-Relief Point Clouds	Geomatics	Simone Ott Benjamin Burkhard Corinna Harmening Jens-André Paffenholz Bastian Steinhoff-Knopp	2023/11/26
Derivation of soil roughness using multi-temporal laser scanning point clouds	Ingenieurvermessung 23. Beiträge zum 20. Internationalen Ingenieurvermessungskurs Zürich, 2023. Hrsg.: A. Wieser	Corinna Harmening Simone Ott Bastian Steinhoff-Knopp Jens-André Paffenholz	2023
ROS im Multisensorsystem–Am Beispiel von geodätischen Anwendungen		Finn Linzer Niklas-Maximilian Schild Jens-André Pfaffenholz	2022/9/26
Erfahrungen aus einem koordinierten Vergleich aktueller Scanner	DVW e. V.(Hrsg.): Terrestrisches Laserscanning	Andreas Wieser Laura Balangé Peter Bauer Tobias Gehrmann Jan Hartmann ...	2022
Ringversuch zur Bestimmung eines intensitätsbasierten stochastischen Modells für die Z+ F IMAGER 5016 Serie		Florian Schill Daniel Wujanz Jens Hartmann Christoph Holst Jens-André Paffenholz	2022
Vorstudie zu wertbeeinflussenden Parametern hinsichtlich der Klimaeffizienz von Wohngebäuden	avn – allgemeine vermessungs-nachrichten	Matthias Soot Ulrike Dingerdissen Anette Eltner Holger Flatt Harry Fast ...	2022
Bodenerosion als Risiko für die Landwirtschaft: Neue Methoden quantifizieren den Bodenverlust durch Wasser auf Äckern	Unimagazin 1/2 (2022)	Benjamin Burkhard Bastian Steinhoff-Knopp Simone Ott Jens-André Paffenholz	2022
Adjustment models for multivariate geodetic time series with vector-autoregressive errors	Journal of Applied Geodesy	Boris Kargoll Alexander Dorndorf Mohammad Omidalizarandi Jens-André Paffenholz Hamza Alkhatib	2021/7/27
3D Point Cloud Based Spatio-Temporal Monitoring of Natural Objects		Jens-André Paffenholz Bastian Steinhoff-Knopp Corinna Harmening	2021
A bayesian nonlinear regression model based on t-distributed errors		Alexander Dorndorf Boris Kargoll Jens-André Paffenholz Hamza Alkhatib	2021
Feasibility of consumer grade GNSS receivers for the integration in multi-sensor-systems	Sensors	Tobias Kersten Jens-André Paffenholz	2020/4/26
High-precision 3D object capturing with static and kinematic terrestrial laser scanning in industrial applications—approaches of quality assessment	Remote Sensing	Ulrich Stenz Jens Hartmann Jens-André Paffenholz Ingo Neumann	2020/1/15
Implementing a structural health monitoring system using digital models of the bam large drop test facility in horstwalde	Proceedings of the International Conference on Structural Dynamic, EURODYN	Ralf Herrmann Falk Hille Samir Said Jens Sterthaus Karsten Müller ...	2020
Landsat-8 data for Soil Moisture Mapping to Investigate the Tailing Dam Failure in Brumadinho, Brazil		Yu Lan Nazemeh Ashrafianfar Jens-André Paffenholz	2020
A fully automated three-stage procedure for spatio-temporal leaf segmentation with regard to the B-spline-based phenotyping of cucumber plants	Remote Sensing	Corinna Harmening Jens-André Paffenholz	2020/12/28