Kay Smarsly

1.3k total citations
78 papers, 716 citations indexed

About

Kay Smarsly is a scholar working on Civil and Structural Engineering, Building and Construction and Control and Systems Engineering. According to data from OpenAlex, Kay Smarsly has authored 78 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Civil and Structural Engineering, 20 papers in Building and Construction and 18 papers in Control and Systems Engineering. Recurrent topics in Kay Smarsly's work include Structural Health Monitoring Techniques (37 papers), BIM and Construction Integration (15 papers) and Infrastructure Maintenance and Monitoring (14 papers). Kay Smarsly is often cited by papers focused on Structural Health Monitoring Techniques (37 papers), BIM and Construction Integration (15 papers) and Infrastructure Maintenance and Monitoring (14 papers). Kay Smarsly collaborates with scholars based in Germany, United States and Greece. Kay Smarsly's co-authors include Kincho H. Law, Kosmas Dragos, Dietrich Hartmann, Markus König, Christian Walther, Hristina Georgieva, George D. Manolis, Filipe Magalhães, Carlos Moutinho and Triantafyllos K. Makarios and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Sound and Vibration and Automation in Construction.

In The Last Decade

Kay Smarsly

67 papers receiving 666 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kay Smarsly Germany 15 374 152 130 98 86 78 716
Arman Malekloo Türkiye 6 262 0.7× 167 1.1× 59 0.5× 120 1.2× 92 1.1× 6 665
Meisam Gordan Malaysia 13 396 1.1× 70 0.5× 59 0.5× 59 0.6× 74 0.9× 36 651
Difei Wu China 16 610 1.6× 102 0.7× 45 0.3× 127 1.3× 18 0.2× 48 840
Yishun Li China 13 351 0.9× 95 0.6× 74 0.6× 68 0.7× 17 0.2× 37 650
Manh Duong Phung Vietnam 13 100 0.3× 54 0.4× 160 1.2× 109 1.1× 197 2.3× 40 1.0k
Berardo Naticchia Italy 15 141 0.4× 424 2.8× 43 0.3× 76 0.8× 30 0.3× 56 831
Mohsen Mousavi Australia 18 581 1.6× 68 0.4× 112 0.9× 88 0.9× 20 0.2× 49 947
Rui Hou United States 11 238 0.6× 61 0.4× 32 0.2× 31 0.3× 57 0.7× 27 724
Shi Qiu China 12 546 1.5× 46 0.3× 29 0.2× 91 0.9× 21 0.2× 40 759
Qian Fan China 10 154 0.4× 45 0.3× 212 1.6× 84 0.9× 31 0.4× 24 939

Countries citing papers authored by Kay Smarsly

Since Specialization
Citations

This map shows the geographic impact of Kay Smarsly'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 Kay Smarsly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kay Smarsly more than expected).

Fields of papers citing papers by Kay Smarsly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kay Smarsly. 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 Kay Smarsly. The network helps show where Kay Smarsly may publish in the future.

Co-authorship network of co-authors of Kay Smarsly

This figure shows the co-authorship network connecting the top 25 collaborators of Kay Smarsly. A scholar is included among the top collaborators of Kay Smarsly 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 Kay Smarsly. Kay Smarsly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Ploennigs, Joern, Kay Smarsly, Markus Berger, Kosmas Dragos, & Martin Kliesch. (2025). Quantum and quantum-inspired computing in civil engineering. Advanced Engineering Informatics. 69. 103960–103960.
3.
Smarsly, Kay, et al.. (2025). LIO-BIM – Coupling lidar inertial odometry with building information modeling for robot localization and mapping. Advanced Engineering Informatics. 66. 103477–103477.
4.
Manolis, George D., et al.. (2024). Damage detection in lightweight bridges with traveling masses using machine learning. Engineering Structures. 322. 119216–119216. 4 indexed citations
5.
Dragos, Kosmas, et al.. (2024). A deep-learning-based approach towards identifying combined faults in structural health monitoring. e-Journal of Nondestructive Testing. 29(7). 1 indexed citations
6.
Alsaad, Hayder, et al.. (2024). Personalized low-cost thermal comfort monitoring using IoT technologies. SHILAP Revista de lepidopterología. 1(4). 100048–100048. 3 indexed citations
7.
Dragos, Kosmas, et al.. (2024). AIoT-enabled decentralized sensor fault diagnosis for structural health monitoring. e-Journal of Nondestructive Testing. 29(7). 1 indexed citations
8.
Hahn, Oliver, et al.. (2024). openLAB – Eine Forschungsbrücke zur Entwicklung eines digitalen Brückenzwillings. Beton- und Stahlbetonbau. 119(3). 169–180. 6 indexed citations
9.
Benz, A., Kay Smarsly, & Conrad Voelker. (2024). A transient simulation-based approach for in-situ estimation of U-values using artificial neural networks. 10. 1 indexed citations
10.
Manolis, George D., et al.. (2024). Towards Detecting Damage in Lightweight Bridges with Traveling Masses Using Machine Learning. Computing in construction. 5. 1 indexed citations
11.
Dragos, Kosmas, et al.. (2023). Adaptive Fault Diagnosis for Simultaneous Sensor Faults in Structural Health Monitoring Systems. Infrastructures. 8(3). 39–39. 16 indexed citations
12.
Smarsly, Kay, et al.. (2023). Mobile Structural Health Monitoring Based on Legged Robots. Infrastructures. 8(9). 136–136. 8 indexed citations
13.
Smarsly, Kay, et al.. (2023). Printing Information Modeling (PIM) for Additive Manufacturing of Concrete Structures. Applied Sciences. 13(23). 12664–12664. 2 indexed citations
14.
Dragos, Kosmas, et al.. (2023). Diagnosis of simultaneous sensor faults in structural health monitoring systems. Computing in construction. 5 indexed citations
15.
Smarsly, Kay, et al.. (2021). BIM-Based Description of Intelligent Transportation Systems for Roads. Infrastructures. 6(4). 51–51. 13 indexed citations
16.
Gürlebeck, Klaus, et al.. (2019). Conceptual modelling: Towards detecting modelling errors in engineering applications. Mathematical Methods in the Applied Sciences. 43(3). 1243–1252. 6 indexed citations
17.
Koenig, Martial, et al.. (2015). Aktuelle Entwicklungen und Herausforderungen der Bauinformatik. Bauingenieur. 90.
18.
Smarsly, Kay, et al.. (2013). Application of Incremental Gaussian Mixture Models for Characterization of Wind Field Data. Structural Health Monitoring. 1 indexed citations
19.
Smarsly, Kay, Kincho H. Law, & Markus König. (2011). Autonomous Structural Condition Monitoring Based on Dynamic Code Migration and Cooperative Information Processing in Wireless Sensor Networks. Structural Health Monitoring. 6 indexed citations
20.
Hartmann, Dietrich, Kay Smarsly, & Kincho H. Law. (2011). Coupling Sensor-based Structural Health Monitoring with Finite Element Model Updating for Probabilistic Lifetime Estimation of Wind Energy Converter Structures. Structural Health Monitoring. 10 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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