Jennifer Bennett

784 total citations
19 papers, 622 citations indexed

About

Jennifer Bennett is a scholar working on Mechanical Engineering, Automotive Engineering and Materials Chemistry. According to data from OpenAlex, Jennifer Bennett has authored 19 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mechanical Engineering, 13 papers in Automotive Engineering and 7 papers in Materials Chemistry. Recurrent topics in Jennifer Bennett's work include Additive Manufacturing Materials and Processes (18 papers), Additive Manufacturing and 3D Printing Technologies (13 papers) and Welding Techniques and Residual Stresses (5 papers). Jennifer Bennett is often cited by papers focused on Additive Manufacturing Materials and Processes (18 papers), Additive Manufacturing and 3D Printing Technologies (13 papers) and Welding Techniques and Residual Stresses (5 papers). Jennifer Bennett collaborates with scholars based in United States, Switzerland and Germany. Jennifer Bennett's co-authors include Jian Cao, Kornel F. Ehmann, Gregory Hyatt, Sarah J. Wolff, Wing Kam Liu, Zhengtao Gan, Gregory J. Wagner, Sourav Saha, Ye Lu and Xiaoyu Xie and has published in prestigious journals such as Journal of Materials Processing Technology, International Journal of Solids and Structures and CIRP Annals.

In The Last Decade

Jennifer Bennett

18 papers receiving 607 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer Bennett United States 14 544 293 117 102 83 19 622
Thien Q. Phan United States 15 883 1.6× 517 1.8× 196 1.7× 115 1.1× 73 0.9× 29 955
Alexander Ulbricht Germany 13 595 1.1× 335 1.1× 77 0.7× 80 0.8× 75 0.9× 27 649
William Jarosinski United States 5 365 0.7× 246 0.8× 74 0.6× 135 1.3× 29 0.3× 8 453
Gleb Turichin Russia 18 887 1.6× 291 1.0× 172 1.5× 84 0.8× 100 1.2× 89 978
Chenglei Diao United Kingdom 10 660 1.2× 283 1.0× 87 0.7× 44 0.4× 45 0.5× 13 696
Nik Hrabe United States 7 324 0.6× 237 0.8× 90 0.8× 73 0.7× 50 0.6× 10 404
J. J. Blecher United States 8 547 1.0× 308 1.1× 101 0.9× 44 0.4× 40 0.5× 15 630
M. Pavlov Russia 13 659 1.2× 311 1.1× 68 0.6× 119 1.2× 129 1.6× 19 707
Daniel E. Sievers United States 12 515 0.9× 347 1.2× 68 0.6× 62 0.6× 47 0.6× 18 559
Ben Brown United States 11 610 1.1× 433 1.5× 59 0.5× 70 0.7× 55 0.7× 26 649

Countries citing papers authored by Jennifer Bennett

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Bennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Bennett

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

All Works

19 of 19 papers shown
1.
Byers, John A., Michael Larsen, Samantha Webster, & Jennifer Bennett. (2024). Assessing melt pool temperature independence from hardness via photodiode-based plank thermometry (PDPT). Manufacturing Letters. 41. 1109–1115. 1 indexed citations
2.
Cooper, Clayton, et al.. (2023). Tensile strength prediction in directed energy deposition through physics-informed machine learning and Shapley additive explanations. Journal of Materials Processing Technology. 315. 117908–117908. 22 indexed citations
3.
Kafka, Orion L., Cheng Yu, Puikei Cheng, et al.. (2022). X-ray computed tomography analysis of pore deformation in IN718 made with directed energy deposition via in-situ tensile testing. International Journal of Solids and Structures. 256. 111943–111943. 17 indexed citations
4.
Nowicki, Margaret, et al.. (2022). Additive Manufacturing With Ceramic Slurries. 1 indexed citations
5.
Fang, Lichao, et al.. (2022). Data-driven analysis of process, structure, and properties of additively manufactured Inconel 718 thin walls. npj Computational Materials. 8(1). 39 indexed citations
6.
Bennett, Jennifer, Samantha Webster, John A. Byers, et al.. (2022). Powder-borne porosity in directed energy deposition. Journal of Manufacturing Processes. 80. 69–74. 8 indexed citations
7.
Bennett, Jennifer, et al.. (2022). Hypersonic Sounding Rocket System Design Optimization and Manufacturing. AIAA AVIATION 2022 Forum.
8.
Bennett, Jennifer, et al.. (2021). Towards bi-metallic injection molds by directed energy deposition. Manufacturing Letters. 27. 78–81. 7 indexed citations
9.
Bennett, Jennifer, et al.. (2021). Mechanical properties of hybrid additively manufactured Inconel 718 parts created via thermal control after secondary treatment processes. Journal of Materials Processing Technology. 291. 117047–117047. 20 indexed citations
10.
Xie, Xiaoyu, Jennifer Bennett, Sourav Saha, et al.. (2021). Mechanistic data-driven prediction of as-built mechanical properties in metal additive manufacturing. npj Computational Materials. 7(1). 96 indexed citations
11.
Bennett, Jennifer, et al.. (2021). Relating additively manufactured part tensile properties to thermal metrics. CIRP Annals. 70(1). 187–190. 14 indexed citations
12.
Bambach�, Markus, Irina Sizova, Jennifer Bennett, et al.. (2020). On the hot deformation behavior of Ti-6Al-4V made by additive manufacturing. Journal of Materials Processing Technology. 288. 116840–116840. 73 indexed citations
13.
Wolff, Sarah J., Zhengtao Gan, Stephen Lin, et al.. (2019). Experimentally validated predictions of thermal history and microhardness in laser-deposited Inconel 718 on carbon steel. Additive manufacturing. 27. 540–551. 92 indexed citations
14.
Gan, Zhengtao, Hengyang Li, Sarah J. Wolff, et al.. (2019). Data-Driven Microstructure and Microhardness Design in Additive Manufacturing Using a Self-Organizing Map. Engineering. 5(4). 730–735. 51 indexed citations
15.
Webster, Samantha, Sarah J. Wolff, Jennifer Bennett, et al.. (2019). Porosity Formation and Meltpool Geometry Analysis Using High-speed, in situ Imaging of Directed Energy Deposition. Microscopy and Microanalysis. 25(S2). 2556–2557. 15 indexed citations
16.
Bennett, Jennifer, Orion L. Kafka, Sarah J. Wolff, et al.. (2018). Cooling rate effect on tensile strength of laser deposited Inconel 718. Procedia Manufacturing. 26. 912–919. 26 indexed citations
17.
Bennett, Jennifer, Daniel J. Garcia, Gregory Hyatt, et al.. (2018). Repairing Automotive Dies With Directed Energy Deposition: Industrial Application and Life Cycle Analysis. Journal of Manufacturing Science and Engineering. 141(2). 66 indexed citations
18.
Bennett, Jennifer, Sarah J. Wolff, Gregory Hyatt, Kornel F. Ehmann, & Jian Cao. (2017). Thermal effect on clad dimension for laser deposited Inconel 718. Journal of Manufacturing Processes. 28. 550–557. 60 indexed citations
19.
Bennett, Jennifer, et al.. (2016). Control of heating and cooling for direct laser deposition repair of cast iron components. 229–236. 14 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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