Daniel E. Sievers

686 total citations
18 papers, 559 citations indexed

About

Daniel E. Sievers is a scholar working on Mechanical Engineering, Automotive Engineering and Mechanics of Materials. According to data from OpenAlex, Daniel E. Sievers has authored 18 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Mechanical Engineering, 12 papers in Automotive Engineering and 5 papers in Mechanics of Materials. Recurrent topics in Daniel E. Sievers's work include Additive Manufacturing Materials and Processes (12 papers), Additive Manufacturing and 3D Printing Technologies (12 papers) and Welding Techniques and Residual Stresses (4 papers). Daniel E. Sievers is often cited by papers focused on Additive Manufacturing Materials and Processes (12 papers), Additive Manufacturing and 3D Printing Technologies (12 papers) and Welding Techniques and Residual Stresses (4 papers). Daniel E. Sievers collaborates with scholars based in United States, Singapore and Japan. Daniel E. Sievers's co-authors include Hamid Garmestani, Steven Y. Liang, Jinqiang Ning, Elham Mirkoohi, Yuanzhe Dong, Kuo‐Ning Chiang, Surya R. Kalidindi, Wenjia Wang, Xuan Ning and Courtney Kucera and has published in prestigious journals such as Acta Materialia, Materials Science and Engineering A and Materials.

In The Last Decade

Daniel E. Sievers

17 papers receiving 550 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel E. Sievers United States 12 515 347 68 62 51 18 559
Richard P. Martukanitz United States 11 554 1.1× 373 1.1× 77 1.1× 67 1.1× 77 1.5× 24 624
Weihui Wu China 7 312 0.6× 244 0.7× 48 0.7× 50 0.8× 28 0.5× 15 381
Jukka Pakkanen Italy 5 547 1.1× 428 1.2× 55 0.8× 62 1.0× 27 0.5× 8 602
Waheed Ul Haq Syed United Kingdom 10 558 1.1× 268 0.8× 60 0.9× 33 0.5× 54 1.1× 20 590
Steve R. Daniewicz United States 5 443 0.9× 340 1.0× 75 1.1× 77 1.2× 18 0.4× 7 514
Masoud Alimardani Canada 10 635 1.2× 266 0.8× 78 1.1× 54 0.9× 79 1.5× 19 670
Michael Cloots Switzerland 10 801 1.6× 465 1.3× 72 1.1× 97 1.6× 72 1.4× 14 849
Adrita Dass United States 4 394 0.8× 243 0.7× 56 0.8× 47 0.8× 17 0.3× 6 439
Fermín Garciandía Spain 8 930 1.8× 678 2.0× 99 1.5× 110 1.8× 45 0.9× 15 984

Countries citing papers authored by Daniel E. Sievers

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Sievers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Sievers. 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 Daniel E. Sievers. The network helps show where Daniel E. Sievers may publish in the future.

Co-authorship network of co-authors of Daniel E. Sievers

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

All Works

18 of 18 papers shown
1.
2.
Ning, Jinqiang, Wenjia Wang, Xuan Ning, et al.. (2020). Analytical Thermal Modeling of Powder Bed Metal Additive Manufacturing Considering Powder Size Variation and Packing. Materials. 13(8). 1988–1988. 17 indexed citations
3.
Chen, Shuting, Lei Zhang, Voon‐Kean Wong, et al.. (2020). Monitoring of cracks near fastener holes using direct-write ultrasonic transducers. Engineering Research Express. 2(1). 15019–15019. 9 indexed citations
4.
Ning, Jinqiang, Daniel E. Sievers, Hamid Garmestani, & Steven Y. Liang. (2020). Analytical modeling of part porosity in metal additive manufacturing. International Journal of Mechanical Sciences. 172. 105428–105428. 79 indexed citations
5.
Mirkoohi, Elham, Daniel E. Sievers, Hamid Garmestani, & Steven Y. Liang. (2020). Thermo-mechanical modeling of thermal stress in metal additive manufacturing considering elastoplastic hardening. CIRP journal of manufacturing science and technology. 28. 52–67. 40 indexed citations
6.
Chen, Shuting, Lei Zhang, Voon‐Kean Wong, et al.. (2020). Direct-write Ultrasonic Sensors for the Application of Aircraft Diagnostics and Health Management. 1–13. 1 indexed citations
7.
Ning, Jinqiang, Daniel E. Sievers, Hamid Garmestani, & Steven Y. Liang. (2019). Analytical modeling of transient temperature in powder feed metal additive manufacturing during heating and cooling stages. Applied Physics A. 125(8). 44 indexed citations
8.
Ning, Jinqiang, Daniel E. Sievers, Hamid Garmestani, & Steven Y. Liang. (2019). Analytical Modeling of In-Process Temperature in Powder Bed Additive Manufacturing Considering Laser Power Absorption, Latent Heat, Scanning Strategy, and Powder Packing. Materials. 12(5). 808–808. 100 indexed citations
9.
Ning, Jinqiang, Daniel E. Sievers, Hamid Garmestani, & Steven Y. Liang. (2019). Analytical Thermal Modeling of Metal Additive Manufacturing by Heat Sink Solution. Materials. 12(16). 2568–2568. 35 indexed citations
10.
Ning, Jinqiang, Daniel E. Sievers, Hamid Garmestani, & Steven Y. Liang. (2019). Analytical modeling of in-process temperature in powder feed metal additive manufacturing considering heat transfer boundary condition. International Journal of Precision Engineering and Manufacturing-Green Technology. 7(3). 585–593. 30 indexed citations
11.
Ning, Jinqiang, Daniel E. Sievers, Hamid Garmestani, & Steven Y. Liang. (2019). Correction to: Analytical modeling of transient temperature in powder feed metal additive manufacturing during heating and cooling stages. Applied Physics A. 125(10).
12.
Ning, Jinqiang, Elham Mirkoohi, Yuanzhe Dong, et al.. (2019). Analytical modeling of 3D temperature distribution in selective laser melting of Ti-6Al-4V considering part boundary conditions. Journal of Manufacturing Processes. 44. 319–326. 80 indexed citations
13.
Sievers, Daniel E., et al.. (2019). Inverse modeling of inelastic properties of a two-phase microstructure. Engineering Research Express. 1(1). 15026–15026. 3 indexed citations
14.
Ning, Jinqiang, Daniel E. Sievers, Hamid Garmestani, & Steven Y. Liang. (2019). Analytical modeling of in-situ deformation of part and substrate in laser cladding additive manufacturing of Inconel 625. Journal of Manufacturing Processes. 49. 135–140. 36 indexed citations
15.
Mirkoohi, Elham, Daniel E. Sievers, Hamid Garmestani, Kuo‐Ning Chiang, & Steven Y. Liang. (2019). Three-dimensional semi-elliptical modeling of melt pool geometry considering hatch spacing and time spacing in metal additive manufacturing. Journal of Manufacturing Processes. 45. 532–543. 35 indexed citations
16.
Sievers, Daniel E., et al.. (2019). Statistical representation of the microstructure and strength for a two-phase Ti–6Al–4V. Materials Science and Engineering A. 759. 313–319. 7 indexed citations
17.
18.
Sievers, Daniel E., et al.. (2007). Photocatalytic study of polymorphic titania synthesized by ambient condition sol process. Catalysis Letters. 117(3-4). 102–106. 17 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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