Lova Chechik

578 total citations
26 papers, 410 citations indexed

About

Lova Chechik is a scholar working on Mechanical Engineering, Automotive Engineering and Computational Mechanics. According to data from OpenAlex, Lova Chechik has authored 26 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Mechanical Engineering, 7 papers in Automotive Engineering and 4 papers in Computational Mechanics. Recurrent topics in Lova Chechik's work include Additive Manufacturing Materials and Processes (25 papers), Welding Techniques and Residual Stresses (12 papers) and High Entropy Alloys Studies (8 papers). Lova Chechik is often cited by papers focused on Additive Manufacturing Materials and Processes (25 papers), Welding Techniques and Residual Stresses (12 papers) and High Entropy Alloys Studies (8 papers). Lova Chechik collaborates with scholars based in United Kingdom, Germany and United States. Lova Chechik's co-authors include Iain Todd, A.R. Lyle, George Panoutsos, Samuel Tammas‐Williams, Everth Hernández-Nava, Markus Bambach�, Rajiv S. Mishra, Jingjing Li, Marion Merklein and Adam T. Clare and has published in prestigious journals such as SHILAP Revista de lepidopterología, Acta Materialia and Scientific Reports.

In The Last Decade

Lova Chechik

24 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lova Chechik United Kingdom 9 388 223 47 44 38 26 410
Tuomas Riipinen Finland 9 367 0.9× 220 1.0× 53 1.1× 39 0.9× 17 0.4× 22 405
Shubhavardhan Ramadurga Narasimharaju United Kingdom 4 340 0.9× 193 0.9× 45 1.0× 46 1.0× 18 0.5× 5 361
Hou Yi Chia Singapore 7 339 0.9× 173 0.8× 36 0.8× 32 0.7× 25 0.7× 7 371
José David Pérez-Ruiz Spain 7 311 0.8× 169 0.8× 65 1.4× 38 0.9× 32 0.8× 10 321
Milad Hamidi Nasab Switzerland 12 573 1.5× 374 1.7× 56 1.2× 53 1.2× 41 1.1× 21 592
Toshi-Taka IKESHOJI Japan 10 421 1.1× 277 1.2× 37 0.8× 62 1.4× 29 0.8× 46 459
Omar Salman Germany 6 487 1.3× 258 1.2× 24 0.5× 72 1.6× 16 0.4× 7 521
Rafał Wróbel Switzerland 9 306 0.8× 148 0.7× 37 0.8× 36 0.8× 22 0.6× 15 323
Megumi Matsumoto Japan 4 298 0.8× 228 1.0× 65 1.4× 53 1.2× 32 0.8× 5 360
Zhaorui Yan Netherlands 7 371 1.0× 125 0.6× 38 0.8× 81 1.8× 31 0.8× 12 409

Countries citing papers authored by Lova Chechik

Since Specialization
Citations

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

Fields of papers citing papers by Lova Chechik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lova Chechik

This figure shows the co-authorship network connecting the top 25 collaborators of Lova Chechik. A scholar is included among the top collaborators of Lova Chechik 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 Lova Chechik. Lova Chechik 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.
Chechik, Lova, et al.. (2025). Improved laser beam shapes for DED-LB/M: low-fidelity Monte-Carlo design and high-fidelity verification. Additive manufacturing. 113. 105016–105016.
2.
Maier, Andreas R., Katja Tangermann‐Gerk, Lova Chechik, et al.. (2025). Spatial control of microstructure and material hardness in functionally graded stainless steels by DED-LB/M and in-situ alloying. Journal of Materials Processing Technology. 340. 118867–118867. 2 indexed citations
3.
Chechik, Lova, Christoph Spurk, Marc Hummel, et al.. (2024). Revealing the influence of ring-shaped beam profiles in high-speed laser beam microwelding by synchrotron x-ray imaging. Journal of Laser Applications. 36(4). 3 indexed citations
4.
Kleinhans, Ulrich, et al.. (2024). Advanced process control in laser-based powder bed fusion–Smart Fusion feedback-loop control as a path to uniform properties for complex structures?. Journal of Materials Research and Technology. 34. 604–618. 3 indexed citations
5.
Chechik, Lova, et al.. (2024). Material dependent influence of ring/spot beam profiles in laser powder bed fusion. SHILAP Revista de lepidopterología. 9. 100211–100211. 6 indexed citations
6.
Christofidou, Katerina A., et al.. (2024). Microstructural control of LPBF Inconel 718 through post processing of intentionally placed AM discontinuity distributions. Materialia. 36. 102163–102163. 6 indexed citations
7.
Hentschel, Oliver, et al.. (2024). Interlayer-free laser coating of AISI H11 tool steel for H11/Cu composite material. Journal of Laser Applications. 36(4).
8.
Chechik, Lova, et al.. (2023). A Brief History of the Progress of Laser Powder Bed Fusion of Metals in Europe. Journal of Manufacturing Science and Engineering. 145(10). 3 indexed citations
9.
Chechik, Lova, et al.. (2023). Controlling grain structure in metallic additive manufacturing using a versatile, inexpensive process control system. Scientific Reports. 13(1). 10003–10003. 4 indexed citations
10.
Chechik, Lova, et al.. (2023). Tools for the Assessment of the Laser Printability of Nickel Superalloys. Metallurgical and Materials Transactions A. 54(6). 2421–2437. 8 indexed citations
11.
Chechik, Lova & Iain Todd. (2023). Inconel 718 two ways: Powder bed fusion vs. directed energy deposition. SHILAP Revista de lepidopterología. 6. 100145–100145. 19 indexed citations
12.
Chechik, Lova & Iain Todd. (2023). Inconel 718 Two Ways: Powder Bed Fusion vs. Directed Energy Deposition. SSRN Electronic Journal. 1 indexed citations
13.
Chechik, Lova, et al.. (2023). Importance of surface roughness on the magnetic properties of additively manufactured FeSi thin walls. Acta Materialia. 263. 119501–119501. 7 indexed citations
14.
Sinclair, Chad W., et al.. (2023). Mechanical properties of stochastically cracked soft magnetic material. SHILAP Revista de lepidopterología. 7. 100179–100179. 2 indexed citations
15.
Chechik, Lova, et al.. (2023). Geometrical control of eddy currents in additively manufactured Fe-Si. Materials & Design. 230. 112002–112002. 14 indexed citations
16.
Chechik, Lova, et al.. (2022). Calibrated closed-loop control to reduce the effect of geometry on mechanical behaviour in directed energy deposition. Journal of Materials Processing Technology. 311. 117823–117823. 7 indexed citations
17.
Conduit, G. J., B.D. Conduit, Katerina A. Christofidou, et al.. (2022). Design of a Ni-based superalloy for laser repair applications using probabilistic neural network identification. SHILAP Revista de lepidopterología. 3. 3 indexed citations
18.
Chechik, Lova, et al.. (2022). Calibrated Closed-Loop Control to Reduce the Effect of Geometry on Mechanical Behaviour in Directed Energy Deposition. SSRN Electronic Journal. 1 indexed citations
19.
Chechik, Lova, et al.. (2020). Beat the machine (learning): metal additive manufacturing and closed loop control. Physics Education. 55(5). 55012–55012. 5 indexed citations
20.
Tammas‐Williams, Samuel, Lova Chechik, A.R. Lyle, et al.. (2019). Methods for Rapid Pore Classification in Metal Additive Manufacturing. JOM. 72(1). 101–109. 157 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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