Edwin J. Schwalbach

1.7k total citations · 1 hit paper
39 papers, 1.3k citations indexed

About

Edwin J. Schwalbach is a scholar working on Mechanical Engineering, Automotive Engineering and Materials Chemistry. According to data from OpenAlex, Edwin J. Schwalbach has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Mechanical Engineering, 17 papers in Automotive Engineering and 10 papers in Materials Chemistry. Recurrent topics in Edwin J. Schwalbach's work include Additive Manufacturing Materials and Processes (27 papers), Additive Manufacturing and 3D Printing Technologies (17 papers) and Welding Techniques and Residual Stresses (10 papers). Edwin J. Schwalbach is often cited by papers focused on Additive Manufacturing Materials and Processes (27 papers), Additive Manufacturing and 3D Printing Technologies (17 papers) and Welding Techniques and Residual Stresses (10 papers). Edwin J. Schwalbach collaborates with scholars based in United States, United Kingdom and Australia. Edwin J. Schwalbach's co-authors include Peter W. Voorhees, Lincoln J. Lauhon, Daniel E. Perea, Eric R. Hemesath, Jessica L. Lensch-Falk, Michael A. Groeber, Michael Chapman, K.J. Chaput, Sean Donegan and Megna Shah and has published in prestigious journals such as Science, Nano Letters and Applied Physics Letters.

In The Last Decade

Edwin J. Schwalbach

38 papers receiving 1.3k citations

Hit Papers

Controlling interdependent meso-nanosecond dynamics and d... 2020 2026 2022 2024 2020 100 200 300

Peers

Edwin J. Schwalbach
Brian J. Simonds United States
Adrian S. Sabau United States
Aiden A. Martin United States
Ashfaq Khan United Kingdom
D. Damiani France
Robby Ebert Germany
Edwin J. Schwalbach
Citations per year, relative to Edwin J. Schwalbach Edwin J. Schwalbach (= 1×) peers Guglielmo Vastola

Countries citing papers authored by Edwin J. Schwalbach

Since Specialization
Citations

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

Fields of papers citing papers by Edwin J. Schwalbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edwin J. Schwalbach. 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 Edwin J. Schwalbach. The network helps show where Edwin J. Schwalbach may publish in the future.

Co-authorship network of co-authors of Edwin J. Schwalbach

This figure shows the co-authorship network connecting the top 25 collaborators of Edwin J. Schwalbach. A scholar is included among the top collaborators of Edwin J. Schwalbach 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 Edwin J. Schwalbach. Edwin J. Schwalbach 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.
Chapman, Michael, et al.. (2024). Correlative X-ray Computed Tomography and Optical Microscopy Serial Sectioning Data of Additive Manufactured Ti-6Al-4V. Integrating materials and manufacturing innovation. 13(3). 746–757. 3 indexed citations
2.
Levine, Lyle E., et al.. (2024). Building microstructures by welding millions of little bits of metal together: measurement approaches, model validation, and post-build processing. IOP Conference Series Materials Science and Engineering. 1310(1). 12011–12011. 1 indexed citations
3.
He, Mo‐Rigen, William D. Musinski, Paul A. Shade, et al.. (2023). Decoupling build orientation-induced geometric and texture effects on the mechanical response of additively manufactured IN625 thin-walled elements. Materials Science and Engineering A. 870. 144826–144826. 6 indexed citations
4.
Honarmandi, Pejman, Jiahui Ye, Chen Zhang, et al.. (2023). Uncertainty quantification and propagation across a multi-model computational framework for the tailored design of additively manufactured shape memory alloys. Additive manufacturing. 68. 103506–103506. 6 indexed citations
5.
Schwalbach, Edwin J., Jake T. Benzing, V. Sinha, et al.. (2022). Effects of local processing parameters on microstructure, texture, and mechanical properties of electron beam powder bed fusion manufactured Ti–6Al–4V. Materials Science and Engineering A. 855. 143853–143853. 5 indexed citations
6.
Schwalbach, Edwin J., Michael Chapman, & Michael A. Groeber. (2021). AFRL Additive Manufacturing Modeling Series: Challenge 2, Microscale Process-to-Structure Data Description. Integrating materials and manufacturing innovation. 10(3). 319–337. 10 indexed citations
8.
Schwalbach, Edwin J., et al.. (2021). The Ensemble Kalman Filter as a tool for estimating temperatures in the powder bed fusion process. 4369–4375. 4 indexed citations
9.
Donegan, Sean, Edwin J. Schwalbach, & Michael A. Groeber. (2021). Multimodal Registration and Fusion of In Situ and Ex Situ Metal Additive Manufacturing Data. JOM. 73(11). 3250–3262. 12 indexed citations
10.
Khairallah, Saad A., Aiden A. Martin, Jonathan R. I. Lee, et al.. (2020). Controlling interdependent meso-nanosecond dynamics and defect generation in metal 3D printing. Science. 368(6491). 660–665. 380 indexed citations breakdown →
11.
Nanda, Hirsh, et al.. (2018). Relaxation dynamics of saturated and unsaturated oriented lipid bilayers. Soft Matter. 14(29). 6119–6127. 15 indexed citations
12.
Schwalbach, Edwin J., Sean Donegan, Michael Chapman, K.J. Chaput, & Michael A. Groeber. (2018). A discrete source model of powder bed fusion additive manufacturing thermal history. Additive manufacturing. 25. 485–498. 65 indexed citations
13.
Groeber, Michael A., Edwin J. Schwalbach, Michael D. Uchic, et al.. (2018). AFRL AM Modeling Challenge Series: Challenge 2 Data Package. 2 indexed citations
14.
Groeber, Michael A., Edwin J. Schwalbach, Sean Donegan, et al.. (2017). Application of characterization, modelling, and analytics towards understanding process-structure linkages in metallic 3D printing. IOP Conference Series Materials Science and Engineering. 219. 12002–12002. 25 indexed citations
15.
Schwalbach, Edwin J., James A. Warren, Kuo-An Wu, & Peter W. Voorhees. (2013). Phase-field crystal model with a vapor phase. Physical Review E. 88(2). 23306–23306. 28 indexed citations
16.
Connell, Justin G., et al.. (2012). Identification of an Intrinsic Source of Doping Inhomogeneity in Vapor–Liquid–Solid-Grown Nanowires. Nano Letters. 13(1). 199–206. 47 indexed citations
17.
Schwalbach, Edwin J., Stephen H. Davis, Peter W. Voorhees, Daniel Wheeler, & James A. Warren. (2011). Liquid droplet dynamics and complex morphologies in vapor–liquid–solid nanowire growth. Journal of materials research/Pratt's guide to venture capital sources. 26(17). 2186–2198. 15 indexed citations
18.
Perea, Daniel E., Eric R. Hemesath, Edwin J. Schwalbach, et al.. (2009). Direct measurement of dopant distribution in an individual vapour–liquid–solid nanowire. Nature Nanotechnology. 4(5). 315–319. 328 indexed citations
19.
Schwalbach, Edwin J. & Peter W. Voorhees. (2009). Doping nanowires grown by the vapor-liquid-solid mechanism. Applied Physics Letters. 95(6). 15 indexed citations
20.
Schwalbach, Edwin J. & Peter W. Voorhees. (2008). Phase Equilibrium and Nucleation in VLS-Grown Nanowires. Nano Letters. 8(11). 3739–3745. 62 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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