Drew E. Sommer

634 total citations
27 papers, 518 citations indexed

About

Drew E. Sommer is a scholar working on Mechanics of Materials, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Drew E. Sommer has authored 27 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Mechanics of Materials, 13 papers in Mechanical Engineering and 7 papers in Civil and Structural Engineering. Recurrent topics in Drew E. Sommer's work include Mechanical Behavior of Composites (17 papers), Composite Material Mechanics (10 papers) and Structural Response to Dynamic Loads (7 papers). Drew E. Sommer is often cited by papers focused on Mechanical Behavior of Composites (17 papers), Composite Material Mechanics (10 papers) and Structural Response to Dynamic Loads (7 papers). Drew E. Sommer collaborates with scholars based in United States, United Kingdom and Spain. Drew E. Sommer's co-authors include R. Byron Pipes, Anthony J. Favaloro, Sergii G. Kravchenko, Daniel Thomson, O. Falcó, C.S. Lopes, B.H.A.H. Tijs, Nik Petrinić, Hao Cui and Johnathan Goodsell and has published in prestigious journals such as SHILAP Revista de lepidopterología, Composites Science and Technology and Composites Part B Engineering.

In The Last Decade

Drew E. Sommer

27 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Drew E. Sommer United States 12 405 261 101 96 50 27 518
Sergii G. Kravchenko United States 16 541 1.3× 436 1.7× 158 1.6× 64 0.7× 69 1.4× 40 744
Tyler Cleveland United States 5 448 1.1× 266 1.0× 101 1.0× 73 0.8× 12 0.2× 6 515
Zhangxing Chen China 14 530 1.3× 318 1.2× 97 1.0× 119 1.2× 47 0.9× 22 654
Michał Smolnicki Poland 12 313 0.8× 255 1.0× 73 0.7× 130 1.4× 97 1.9× 28 506
Kenan Çınar Türkiye 9 303 0.7× 314 1.2× 86 0.9× 49 0.5× 30 0.6× 23 456
Marina Selezneva Canada 11 398 1.0× 253 1.0× 136 1.3× 85 0.9× 15 0.3× 15 472
Paweł Stabla Poland 8 201 0.5× 182 0.7× 67 0.7× 92 1.0× 55 1.1× 19 368
Giuseppe Dell’Anno United Kingdom 9 389 1.0× 219 0.8× 135 1.3× 101 1.1× 47 0.9× 15 492
Erwin W. Liang United States 7 487 1.2× 230 0.9× 215 2.1× 124 1.3× 102 2.0× 13 739
Tonny Nyman Sweden 12 404 1.0× 252 1.0× 112 1.1× 139 1.4× 29 0.6× 18 532

Countries citing papers authored by Drew E. Sommer

Since Specialization
Citations

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

Fields of papers citing papers by Drew E. Sommer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Drew E. Sommer

This figure shows the co-authorship network connecting the top 25 collaborators of Drew E. Sommer. A scholar is included among the top collaborators of Drew E. Sommer 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 Drew E. Sommer. Drew E. Sommer 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.
Sommer, Drew E., et al.. (2025). Comparison of interlaminar damage modeling strategies for hybrid composite/aluminum laminates subjected to low-velocity impact. Composite Structures. 372. 119534–119534. 2 indexed citations
2.
Larson, Richard A., Jiang Li, Anthony J. Favaloro, et al.. (2024). The use of digital thread for reconstruction of local fiber orientation in a compression molded pin bracket via deep learning. Composites Part A Applied Science and Manufacturing. 187. 108491–108491. 3 indexed citations
3.
Sommer, Drew E., Sergii G. Kravchenko, & R. Byron Pipes. (2024). Investigation of the notch sensitivity of tailorable long fiber discontinuous prepreg composite laminates. Composites Part A Applied Science and Manufacturing. 188. 108508–108508. 5 indexed citations
4.
Sommer, Drew E., et al.. (2024). Numerical modeling and experimental validation of low velocity impact of woven GFRP/CFRP composites. Journal of Composite Materials. 59(3). 283–303. 1 indexed citations
6.
Thomson, Daniel, Drew E. Sommer, O. Falcó, et al.. (2021). Numerical prediction of the ballistic performance of hygrothermally aged CFRP laminates using a multi-scale modelling approach. SHILAP Revista de lepidopterología. 250. 3008–3008. 1 indexed citations
7.
Favaloro, Anthony J., et al.. (2021). Validation of process simulation workflow for thermosetting prepreg platelet molding compounds. Composites Part B Engineering. 224. 109198–109198. 10 indexed citations
8.
Favaloro, Anthony J. & Drew E. Sommer. (2020). On the use of orientation tensors to represent prepreg platelet orientation state and variability. Journal of Rheology. 64(3). 517–527. 8 indexed citations
9.
Sommer, Drew E., Sergii G. Kravchenko, & R. Byron Pipes. (2020). A numerical study of the meso-structure variability in the compaction process of prepreg platelet molded composites. Composites Part A Applied Science and Manufacturing. 138. 106010–106010. 25 indexed citations
10.
Kravchenko, Sergii G., et al.. (2019). Tensile properties of a stochastic prepreg platelet molded composite. Composites Part A Applied Science and Manufacturing. 124. 105507–105507. 66 indexed citations
11.
Sommer, Drew E., et al.. (2019). Integrative analysis for prediction of process-induced, orientation-dependent tensile properties in a stochastic prepreg platelet molded composite. Composites Part A Applied Science and Manufacturing. 130. 105759–105759. 39 indexed citations
12.
Kravchenko, Sergii G., et al.. (2018). Structure-property relationship for a prepreg platelet molded composite with engineered meso-morphology. Composite Structures. 210. 430–445. 38 indexed citations
13.
Favaloro, Anthony J., et al.. (2018). Simulation of prepreg platelet compression molding: Method and orientation validation. Journal of Rheology. 62(6). 1443–1455. 28 indexed citations
14.
Sommer, Drew E., Anthony J. Favaloro, & R. Byron Pipes. (2018). Coupling anisotropic viscosity and fiber orientation in applications to squeeze flow. Journal of Rheology. 62(3). 669–679. 34 indexed citations
16.
Kravchenko, Sergii G., Drew E. Sommer, & R. Byron Pipes. (2018). Uniaxial strength of a composite array of overlaid and aligned prepreg platelets. Composites Part A Applied Science and Manufacturing. 109. 31–47. 32 indexed citations
17.
Sommer, Drew E., et al.. (2018). Fiber orientation measurement from mesoscale CT scans of prepreg platelet molded composites. Composites Part A Applied Science and Manufacturing. 114. 241–249. 58 indexed citations
18.
Sommer, Drew E., et al.. (2018). Stochastic Process Modeling of a Prepreg Platelet Molded Composite Bracket. 2 indexed citations
19.
Sommer, Drew E., Anthony J. Favaloro, & R. Byron Pipes. (2017). Prepreg Platelet Morphology and Scale Effects on Molding Processability. 2 indexed citations
20.
Sommer, Drew E.. (2016). Constitutive modeling of the rheological behavior of platelet suspensions. Purdue e-Pubs (Purdue University System). 27. 1 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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