Sam Buls

880 total citations · 1 hit paper
8 papers, 704 citations indexed

About

Sam Buls is a scholar working on Mechanical Engineering, Automotive Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Sam Buls has authored 8 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanical Engineering, 4 papers in Automotive Engineering and 2 papers in Industrial and Manufacturing Engineering. Recurrent topics in Sam Buls's work include Additive Manufacturing Materials and Processes (6 papers), Additive Manufacturing and 3D Printing Technologies (4 papers) and Welding Techniques and Residual Stresses (3 papers). Sam Buls is often cited by papers focused on Additive Manufacturing Materials and Processes (6 papers), Additive Manufacturing and 3D Printing Technologies (4 papers) and Welding Techniques and Residual Stresses (3 papers). Sam Buls collaborates with scholars based in Belgium. Sam Buls's co-authors include Karolien Kempen, Stijn Clijsters, Tom Craeghs, J.-P. Kruth, Bey Vrancken, Jean‐Pierre Kruth, Lore Thijs, Jan Van Humbeeck, J. Van Humbeeck and Jan Schrooten and has published in prestigious journals such as The International Journal of Advanced Manufacturing Technology, Journal of Manufacturing Science and Engineering and Lirias (KU Leuven).

In The Last Decade

Sam Buls

8 papers receiving 676 citations

Hit Papers

In situ quality control of the selective laser melting pr... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sam Buls Belgium 5 669 434 142 82 42 8 704
Michael Gouge United States 11 735 1.1× 535 1.2× 150 1.1× 91 1.1× 39 0.9× 12 798
Luis E. Criales United States 9 646 1.0× 466 1.1× 112 0.8× 88 1.1× 72 1.7× 10 679
Ziyad Smoqi United States 12 586 0.9× 334 0.8× 144 1.0× 40 0.5× 49 1.2× 15 646
Subin Shrestha United States 12 985 1.5× 697 1.6× 120 0.8× 138 1.7× 76 1.8× 20 1.0k
Daniel E. Sievers United States 12 515 0.8× 347 0.8× 62 0.4× 51 0.6× 68 1.6× 18 559
Michael Karg Germany 10 460 0.7× 385 0.9× 84 0.6× 73 0.9× 42 1.0× 18 522
Rishi Ganeriwala United States 14 724 1.1× 446 1.0× 111 0.8× 84 1.0× 127 3.0× 18 774
Gunther Mohr Germany 15 739 1.1× 477 1.1× 107 0.8× 64 0.8× 77 1.8× 28 807
Andrei Diatlov Germany 5 413 0.6× 267 0.6× 61 0.4× 82 1.0× 38 0.9× 7 468
Ivan Zhirnov Russia 12 422 0.6× 245 0.6× 83 0.6× 108 1.3× 35 0.8× 27 457

Countries citing papers authored by Sam Buls

Since Specialization
Citations

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

Fields of papers citing papers by Sam Buls

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Buls

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

All Works

8 of 8 papers shown
1.
Vrancken, Bey, Sam Buls, Jean‐Pierre Kruth, & Jan Van Humbeeck. (2015). Influence of preheating and oxygen content on Selective Laser Melting of Ti6Al4V. Lirias (KU Leuven). 16 indexed citations
2.
Speirs, Mathew, Jean‐Pierre Kruth, Jan Van Humbeeck, et al.. (2014). The effect of SLM parameters on geometrical characteristic of open porous NiTi scaffolds. Lirias (KU Leuven). 1 indexed citations
3.
Buls, Sam, Stijn Clijsters, & Jean‐Pierre Kruth. (2014). Homogenizing the Melt Pool Intensity Distribution in the SLM Process through System Identification and Feedback Control. Texas Digital Library (University of Texas). 6–11. 2 indexed citations
4.
Clijsters, Stijn, Tom Craeghs, Sam Buls, Karolien Kempen, & J.-P. Kruth. (2014). In situ quality control of the selective laser melting process using a high-speed, real-time melt pool monitoring system. The International Journal of Advanced Manufacturing Technology. 75(5-8). 1089–1101. 360 indexed citations breakdown →
5.
Kempen, Karolien, Bey Vrancken, Sam Buls, et al.. (2014). Selective Laser Melting of Crack-Free High Density M2 High Speed Steel Parts by Baseplate Preheating. Journal of Manufacturing Science and Engineering. 136(6). 249 indexed citations
6.
Buls, Sam, Tom Craeghs, Stijn Clijsters, & Karolien Kempen. (2013). The Influence of a Dynamically Optimized Galvano Based Laser Scanner on the Total Scan Time of SLM Parts. Texas Digital Library (University of Texas). 4 indexed citations
7.
Kempen, Karolien, Lore Thijs, Bey Vrancken, et al.. (2013). Producing Crack-Free, High Density M2 HSS Parts by Selective Laser Melting: Pre-Heating the Baseplate. Texas Digital Library (University of Texas). 43 indexed citations
8.
Kempen, Karolien, Bey Vrancken, Lore Thijs, et al.. (2013). Lowering thermal gradients in Selective Laser melting by pre-heating the baseplate. Lirias (KU Leuven). 29 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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