Sergey Shevchik

2.4k total citations · 1 hit paper
41 papers, 1.9k citations indexed

About

Sergey Shevchik is a scholar working on Mechanical Engineering, Mechanics of Materials and Biomedical Engineering. According to data from OpenAlex, Sergey Shevchik has authored 41 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Mechanical Engineering, 11 papers in Mechanics of Materials and 9 papers in Biomedical Engineering. Recurrent topics in Sergey Shevchik's work include Welding Techniques and Residual Stresses (20 papers), Additive Manufacturing Materials and Processes (17 papers) and Thermography and Photoacoustic Techniques (7 papers). Sergey Shevchik is often cited by papers focused on Welding Techniques and Residual Stresses (20 papers), Additive Manufacturing Materials and Processes (17 papers) and Thermography and Photoacoustic Techniques (7 papers). Sergey Shevchik collaborates with scholars based in Switzerland, France and United States. Sergey Shevchik's co-authors include Kilian Wasmer, Christian Leinenbach, Christoph Kenel, Giulio Masinelli, Tri Le‐Quang, Bastian Meylan, Vigneashwara Pandiyan, Joachim Dehais, Stavroula Mougiakakou and Roland E. Logé and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and IEEE Access.

In The Last Decade

Sergey Shevchik

38 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Acoustic emission for in situ quality monitoring in additive manufacturing using spectral convolutional neural networks

2017 327 citations Sergey Shevchik, Christoph Kenel et al. Additive manufacturing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sergey Shevchik Switzerland	23	1.3k	572	396	328	267	41	1.9k
Ahmad Barari Canada	22	757 0.6×	583 1.0×	605 1.5×	180 0.5×	88 0.3×	117	1.4k
Harald Aschemann Germany	20	781 0.6×	333 0.6×	96 0.2×	312 1.0×	123 0.5×	304	2.4k
Qing Wu Australia	28	1.9k 1.4×	332 0.6×	872 2.2×	143 0.4×	766 2.9×	136	2.4k
Atanas A. Popov United Kingdom	23	790 0.6×	251 0.4×	416 1.1×	360 1.1×	251 0.9×	106	1.6k
Jing Zeng China	29	2.1k 1.7×	415 0.7×	274 0.7×	31 0.1×	722 2.7×	169	2.5k
Wan-Suk Yoo South Korea	20	711 0.6×	478 0.8×	39 0.1×	104 0.3×	203 0.8×	155	1.5k
Shyh‐Chour Huang Taiwan	22	565 0.4×	50 0.1×	78 0.2×	277 0.8×	135 0.5×	155	1.7k
Haifeng Ma China	22	674 0.5×	34 0.1×	223 0.6×	339 1.0×	87 0.3×	94	1.5k
Torben Ole Andersen Denmark	19	1.0k 0.8×	178 0.3×	44 0.1×	220 0.7×	159 0.6×	187	1.9k

Countries citing papers authored by Sergey Shevchik

Since Specialization

Citations

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

Fields of papers citing papers by Sergey Shevchik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergey Shevchik

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gervasoni, Simone, et al.. (2025). Reducing porosity and quality enhancement in keyhole laser welding under 3D configurable external magnetic field stimulation. Materials & Design. 257. 114461–114461.

Shevchik, Sergey, Rafał Wróbel, Vigneashwara Pandiyan, et al.. (2024). Unsupervised quality monitoring of metal additive manufacturing using Bayesian adaptive resonance. Heliyon. 10(12). e32656–e32656. 4 indexed citations

Pandiyan, Vigneashwara, et al.. (2024). Monitoring of Laser Powder Bed Fusion process by bridging dissimilar process maps using deep learning-based domain adaptation on acoustic emissions. Additive manufacturing. 80. 103974–103974. 24 indexed citations

Pandiyan, Vigneashwara, et al.. (2023). Correlation of signal feature importance and process parameters in water jet-guided laser cutting. IOP Conference Series Materials Science and Engineering. 1296(1). 12044–12044.

Wasmer, Kilian, et al.. (2023). Monitoring of functionally graded material during laser directed energy deposition by acoustic emission and optical emission spectroscopy using artificial intelligence. Virtual and Physical Prototyping. 18(1). 23 indexed citations

Pandiyan, Vigneashwara, Rafał Wróbel, Christian Leinenbach, & Sergey Shevchik. (2023). Optimizing in-situ monitoring for laser powder bed fusion process: Deciphering acoustic emission and sensor sensitivity with explainable machine learning. Journal of Materials Processing Technology. 321. 118144–118144. 38 indexed citations

Pandiyan, Vigneashwara, et al.. (2022). Monitoring of Direct Energy Deposition Process Using Manifold Learning and Co-Axial Melt Pool Imaging. Manufacturing Letters. 33. 776–785. 4 indexed citations

Meylan, Bastian, et al.. (2022). Smart closed-loop control of laser welding using reinforcement learning. Procedia CIRP. 111. 479–483. 8 indexed citations

Pandiyan, Vigneashwara, Roland E. Logé, Sergey Shevchik, et al.. (2022). Differentiation of materials and laser powder bed fusion processing regimes from airborne acoustic emission combined with machine learning. Virtual and Physical Prototyping. 17(2). 181–204. 80 indexed citations

10.

Shevchik, Sergey, Tri Le‐Quang, Bastian Meylan, et al.. (2020). Supervised deep learning for real-time quality monitoring of laser welding with X-ray radiographic guidance. Scientific Reports. 10(1). 3389–3389. 97 indexed citations

11.

Pandiyan, Vigneashwara, et al.. (2020). Analysis of time, frequency and time-frequency domain features from acoustic emissions during Laser Powder-Bed fusion process. Procedia CIRP. 94. 392–397. 61 indexed citations

12.

Pandiyan, Vigneashwara, Sergey Shevchik, Kilian Wasmer, Sylvie Castagne, & Tegoeh Tjahjowidodo. (2020). Modelling and monitoring of abrasive finishing processes using artificial intelligence techniques: A review. Journal of Manufacturing Processes. 57. 114–135. 84 indexed citations

13.

Meylan, Bastian, Tri Le‐Quang, Margie P. Olbinado, et al.. (2019). Re-solidification dynamics and microstructural analysis of laser welded aluminium. International Journal of Materials Research (formerly Zeitschrift fuer Metallkunde). 111(1). 17–22. 4 indexed citations

14.

Shevchik, Sergey, Giulio Masinelli, Christoph Kenel, Christian Leinenbach, & Kilian Wasmer. (2019). Deep Learning for In Situ and Real-Time Quality Monitoring in Additive Manufacturing Using Acoustic Emission. IEEE Transactions on Industrial Informatics. 15(9). 5194–5203. 157 indexed citations

15.

Le‐Quang, Tri, Sergey Shevchik, Bastian Meylan, et al.. (2018). Why is in situ quality control of laser keyhole welding a real challenge?. Procedia CIRP. 74. 649–653. 30 indexed citations

16.

Wasmer, Kilian, Tri Le‐Quang, Bastian Meylan, et al.. (2018). Laser processing quality monitoring by combining acoustic emission and machine learning: a high-speed X-ray imaging approach. Procedia CIRP. 74. 654–658. 58 indexed citations

17.

Dehais, Joachim, Marios Anthimopoulos, Sergey Shevchik, et al.. (2016). Carbohydrate Estimation by a Mobile Phone-Based System Versus Self-Estimations of Individuals With Type 1 Diabetes Mellitus: A Comparative Study. Journal of Medical Internet Research. 18(5). e101–e101. 79 indexed citations

18.

Saeidi, Fatemeh, Sergey Shevchik, & Kilian Wasmer. (2015). Automatic detection of scuffing using acoustic emission. Tribology International. 94. 112–117. 40 indexed citations

19.

Dehais, Joachim, Sergey Shevchik, Peter Diem, & Stavroula Mougiakakou. (2013). Food volume computation for self dietary assessment applications. 1–4. 25 indexed citations

20.

Velichkovsky, Boris M., Jan‐Mark Geusebroek, Sven‐Thomas Graupner, et al.. (2012). Measurement-related issues in the investigation of active vision. 281–300. 2 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.

Explore authors with similar magnitude of impact