| Mathematical modelling to support traceable dynamic calibration of pressure sensors C Matthews, F Pennecchi, S Eichstädt, A Malengo, T Esward, I Smith, ... Metrologia 51 (3), 326, 2014 | 75 | 2014 |
| Deconvolution filters for the analysis of dynamic measurement processes: a tutorial S Eichstädt, C Elster, TJ Esward, JP Hessling Metrologia 47 (5), 522, 2010 | 70 | 2010 |
| Efficient implementation of a Monte Carlo method for uncertainty evaluation in dynamic measurements S Eichstädt, A Link, P Harris, C Elster Metrologia 49 (3), 401, 2012 | 58 | 2012 |
| GUM2DFT—a software tool for uncertainty evaluation of transient signals in the frequency domain S Eichstädt, V Wilkens Measurement Science and Technology 27 (5), 055001, 2016 | 57 | 2016 |
| Comparison of the Richardson-Lucy method and a classical approach for spectrometer bandpass correction S Eichstädt, F Schmähling, G Wübbeler, K Anhalt, L Bünger, U Krüger, ... Metrologia 50, 107, 2013 | 52 | 2013 |
| On challenges in the uncertainty evaluation for time-dependent measurements S Eichstädt, V Wilkens, A Dienstfrey, P Hale, B Hughes, C Jarvis Metrologia 53 (4), S125, 2016 | 48 | 2016 |
| Optoelectronic time-domain characterization of a 100 GHz sampling oscilloscope H Füser, S Eichstädt, K Baaske, C Elster, K Kuhlmann, R Judaschke, ... Measurement Science and Technology 23 (2), 025201, 2011 | 47 | 2011 |
| Evaluation of dynamic measurement uncertainty–an open-source software package to bridge theory and practice S Eichstädt, C Elster, IM Smith, TJ Esward Journal of Sensors and Sensor Systems 6 (1), 97-105, 2017 | 36 | 2017 |
| Toward smart traceability for digital sensors and the industrial internet of things S Eichstädt, M Gruber, AP Vedurmudi, B Seeger, T Bruns, G Kok Sensors 21 (6), 2019, 2021 | 33 | 2021 |
| Evaluation of uncertainty for regularized deconvolution: A case study in hydrophone measurements S Eichstädt, V Wilkens The Journal of the Acoustical Society of America 141 (6), 4155-4167, 2017 | 33 | 2017 |
| Dynamic uncertainty for compensated second-order systems S Eichstädt, A Link, C Elster Sensors 10 (8), 7621-7631, 2010 | 33 | 2010 |
| Analysis of dynamic measurements: evaluation of dynamic measurement uncertainty S Eichstädt Wirtschaftsverl. NW, Verlag für Neue Wiss., 2012 | 30 | 2012 |
| Uncertainty evaluation of dynamic measurements in line with GUM C Elster, S Eichstädt, A Link XIX IMEKO World Congress on Fundamental and Applied Metrology, 2311-2314, 2009 | 29 | 2009 |
| On-line dynamic error compensation of accelerometers by uncertainty-optimal filtering S Eichstädt, A Link, T Bruns, C Elster Measurement 43 (5), 708-713, 2010 | 27 | 2010 |
| Metrology for the factory of the future: towards a case study in condition monitoring T Dorst, B Ludwig, S Eichstädt, T Schneider, A Schütze 2019 IEEE International Instrumentation and Measurement Technology …, 2019 | 25 | 2019 |
| Investigations for the model-based dynamic calibration of force transducers by using shock excitation M Kobusch, S Eichstädt, L Klaus, T Bruns Acta Imeko 4 (2), 45-51, 2015 | 20 | 2015 |
| Metrology for the digital age S Eichstädt, A Keidel, J Tesch Measurement: Sensors 18, 100232, 2021 | 19 | 2021 |
| Semantic description of quality of data in sensor networks AP Vedurmudi, J Neumann, M Gruber, S Eichstädt Sensors 21 (19), 6462, 2021 | 19 | 2021 |
| On the evaluation of uncertainties for state estimation with the Kalman filter S Eichstädt, N Makarava, C Elster Measurement Science and Technology 27 (12), 125009, 2016 | 19 | 2016 |
| Dynamic calibration of force, torque and pressure sensors C Bartoli, MF Beug, T Bruns, S Eichstädt, T Esward, L Klaus, A Knott, ... Proc. of Joint IMEKO International TC3, TC5 and TC22 Conference, 610-3, 2014 | 18 | 2014 |
