Sascha Eichstädt

899 total citations
64 papers, 643 citations indexed

About

Sascha Eichstädt is a scholar working on Statistics, Probability and Uncertainty, Computer Networks and Communications and Biomedical Engineering. According to data from OpenAlex, Sascha Eichstädt has authored 64 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics, Probability and Uncertainty, 29 papers in Computer Networks and Communications and 15 papers in Biomedical Engineering. Recurrent topics in Sascha Eichstädt's work include Scientific Measurement and Uncertainty Evaluation (29 papers), Sensor Technology and Measurement Systems (26 papers) and Fault Detection and Control Systems (7 papers). Sascha Eichstädt is often cited by papers focused on Scientific Measurement and Uncertainty Evaluation (29 papers), Sensor Technology and Measurement Systems (26 papers) and Fault Detection and Control Systems (7 papers). Sascha Eichstädt collaborates with scholars based in Germany, United Kingdom and Russia. Sascha Eichstädt's co-authors include Clemens Elster, Volker Wilkens, T J Esward, Alfred Link, Thomas Bruns, Andreas Schütze, I. M. Smith, Jan Peter Hessling, Tizian Schneider and P M Harris and has published in prestigious journals such as The Journal of the Acoustical Society of America, Sensors and Journal of the Optical Society of America A.

In The Last Decade

Sascha Eichstädt

56 papers receiving 604 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sascha Eichstädt Germany	15	236	230	191	138	123	64	643
Klaus‐Dieter Sommer Germany	11	191 0.8×	64 0.3×	125 0.7×	240 1.7×	51 0.4×	34	568
Pawan Goyal Germany	13	101 0.4×	155 0.7×	39 0.2×	58 0.4×	109 0.9×	47	634
M G Cox United Kingdom	10	316 1.3×	92 0.4×	151 0.8×	143 1.0×	63 0.5×	34	578
Eric Laermans Belgium	15	166 0.7×	67 0.3×	29 0.2×	56 0.4×	432 3.5×	46	900
Alireza Fatehi Iran	18	67 0.3×	79 0.3×	87 0.5×	189 1.4×	119 1.0×	114	1.3k
Hakki Mert Torun United States	15	74 0.3×	43 0.2×	61 0.3×	44 0.3×	570 4.6×	37	809
David J. Knezevic United States	17	212 0.9×	19 0.1×	36 0.2×	81 0.6×	87 0.7×	33	821
Sidhant Misra United States	14	39 0.2×	92 0.4×	143 0.7×	30 0.2×	284 2.3×	46	741
Jianhong Yang China	17	41 0.2×	29 0.1×	85 0.4×	232 1.7×	138 1.1×	60	800

Countries citing papers authored by Sascha Eichstädt

Since Specialization

Citations

This map shows the geographic impact of Sascha Eichstädt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sascha Eichstädt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sascha Eichstädt more than expected).

Fields of papers citing papers by Sascha Eichstädt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sascha Eichstädt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sascha Eichstädt. The network helps show where Sascha Eichstädt may publish in the future.

Co-authorship network of co-authors of Sascha Eichstädt

This figure shows the co-authorship network connecting the top 25 collaborators of Sascha Eichstädt. A scholar is included among the top collaborators of Sascha Eichstädt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sascha Eichstädt. Sascha Eichstädt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Eichstädt, Sascha, et al.. (2025). Application of uncertainty propagation in deep neural networks: Innovations in metrology and the introduction of QuadLU activation function. Measurement Sensors. 38. 101790–101790. 1 indexed citations

Eichstädt, Sascha, et al.. (2024). Uncertainty propagation for microwave scattering parameter measurements subject to time-domain and time-gating transformations. Measurement. 235. 114891–114891.

Eichstädt, Sascha & Olav Werhahn. (2024). Metrology for sensor networks: metrological traceability and measurement uncertainties for air quality monitoring. tm - Technisches Messen. 91(9). 419–429. 1 indexed citations

Eichstädt, Sascha, et al.. (2024). Modelling of measuring systems – From white box models to cognitive approaches. Measurement Sensors. 38. 101503–101503.

Niederhausen, Jens, et al.. (2024). Digital Calibration Certificate in a trusted quality infrastructure federated data space: A proof of concept. Measurement Sensors. 38. 101484–101484. 2 indexed citations

Eichstädt, Sascha, et al.. (2023). Integrating metrological principles into the Internet of Things: a digital maturity model for sensor network metrology. tm - Technisches Messen. 91(1). 17–31. 2 indexed citations

Eichstädt, Sascha, et al.. (2023). Fundamental aspects in sensor network metrology. ACTA IMEKO. 12(1). 1–6. 7 indexed citations

Schneider, Tizian, et al.. (2022). Uncertainty-aware data pipeline of calibrated MEMS sensors used for machine learning. Measurement Sensors. 22. 100376–100376. 6 indexed citations

Schneider, Tizian, et al.. (2022). Uncertainty-aware automated machine learning toolbox. tm - Technisches Messen. 90(3). 141–153. 8 indexed citations

10.

Eichstädt, Sascha, et al.. (2022). THE QUALITY INFRASTRUCTURE IN THE DIGITAL AGE: BEYOND MACHINE-READABLE DOCUMENTS. 1–4. 3 indexed citations

11.

Eichstädt, Sascha, et al.. (2021). Metrology for the digital age. Measurement Sensors. 18. 100232–100232. 11 indexed citations

12.

Neumann, Julia, et al.. (2021). Semantic Description of Quality of Data in Sensor Networks. Sensors. 21(19). 6462–6462. 14 indexed citations

13.

Eichstädt, Sascha, et al.. (2021). Toward Smart Traceability for Digital Sensors and the Industrial Internet of Things. Sensors. 21(6). 2019–2019. 26 indexed citations

14.

Eichstädt, Sascha, et al.. (2021). Interoperable processes and infrastructure for the digital transformation of the quality infrastructure. 347–351. 7 indexed citations

15.

Hähner, Jörg, et al.. (2020). An architectural design for measurement uncertainty evaluation in cyber-physical systems. OPUS (Augsburg University). 4 indexed citations

16.

Eichstädt, Sascha. (2020). From dynamic measurement uncertainty to the Internet of Things and Industry 4.0. 632–635. 3 indexed citations

17.

Eichstädt, Sascha, et al.. (2019). Metrologie für heterogene Sensornetzwerke und Industrie 4.0. tm - Technisches Messen. 86(11). 623–629. 8 indexed citations

18.

Forbes, Alistair, et al.. (2018). Advanced Mathematical and Computational Tools in Metrology and Testing XI. 14 indexed citations

19.

Eichstädt, Sascha, et al.. (2018). Novel accuracy test for multispectral imaging systems based on ΔE measurements. Journal of the European Optical Society Rapid Publications. 14(1). 6 indexed citations

20.

Eichstädt, Sascha, et al.. (2017). Monte-Carlo-based uncertainty propagation with hierarchical models—a case study in dynamic torque. Metrologia. 55(2). S70–S85. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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