Kyle Johnson

1.0k total citations
45 papers, 683 citations indexed

About

Kyle Johnson is a scholar working on Mechanical Engineering, Mechanics of Materials and Materials Chemistry. According to data from OpenAlex, Kyle Johnson has authored 45 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Mechanical Engineering, 10 papers in Mechanics of Materials and 10 papers in Materials Chemistry. Recurrent topics in Kyle Johnson's work include Additive Manufacturing Materials and Processes (14 papers), Welding Techniques and Residual Stresses (8 papers) and Genomics and Phylogenetic Studies (6 papers). Kyle Johnson is often cited by papers focused on Additive Manufacturing Materials and Processes (14 papers), Welding Techniques and Residual Stresses (8 papers) and Genomics and Phylogenetic Studies (6 papers). Kyle Johnson collaborates with scholars based in United States, United Kingdom and Iraq. Kyle Johnson's co-authors include Shaun Whetten, Donald Francis Susan, Daryl Dagel, M.F. Horstemeyer, Andrew Kustas, Joseph E. Bishop, Reese E. Jones, Nicolas Argibay, Joseph R. Michael and Philip Noell and has published in prestigious journals such as Acta Materialia, Polymer and The Journal of the Acoustical Society of America.

In The Last Decade

Kyle Johnson

42 papers receiving 660 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle Johnson United States 14 405 141 130 110 104 45 683
Xian Wu China 14 449 1.1× 79 0.6× 120 0.9× 227 2.1× 98 0.9× 66 845
Cong Ding China 16 323 0.8× 79 0.6× 58 0.4× 85 0.8× 162 1.6× 40 540
Liang Meng China 13 399 1.0× 68 0.5× 157 1.2× 120 1.1× 304 2.9× 32 784
Li Zheng Switzerland 4 294 0.7× 81 0.6× 73 0.6× 156 1.4× 124 1.2× 5 552
Ruilan Tian China 15 491 1.2× 78 0.6× 39 0.3× 123 1.1× 90 0.9× 44 763
Mayank Tiwari India 16 641 1.6× 95 0.7× 116 0.9× 182 1.7× 331 3.2× 61 1.0k
Yanchao Zhang China 17 402 1.0× 225 1.6× 24 0.2× 186 1.7× 227 2.2× 102 1.1k
Tareq Al-hababi China 6 242 0.6× 128 0.9× 78 0.6× 63 0.6× 295 2.8× 8 583
Brice Bognet France 10 122 0.3× 49 0.3× 177 1.4× 230 2.1× 184 1.8× 17 641
Lars Greve Germany 12 439 1.1× 126 0.9× 277 2.1× 18 0.2× 354 3.4× 25 794

Countries citing papers authored by Kyle Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Johnson. A scholar is included among the top collaborators of Kyle Johnson 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 Kyle Johnson. Kyle Johnson 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.
Noell, Philip, Krzysztof S. Stopka, Jun‐Sang Park, et al.. (2025). Quantifying precursors to void nucleation and coalescence in aluminum. Acta Materialia. 296. 121295–121295. 1 indexed citations
2.
Vaughan, M.W., Hojun Lim, Raiyan Seede, et al.. (2024). The mechanistic origins of heterogeneous void growth during ductile failure. Acta Materialia. 274. 119977–119977. 25 indexed citations
3.
Lee, Nayeon, Sungkwang Mun, Kyle Johnson, & M.F. Horstemeyer. (2024). The Function of Horn Ridges for Impact Damping. Biomimetics. 9(8). 506–506.
4.
Yang, Pin, et al.. (2023). Thermophysical properties of additively manufactured Ti-5553 alloy. Additive manufacturing. 76. 103769–103769. 8 indexed citations
5.
Ruggles, Timothy, et al.. (2023). High-throughput EBSD Characterization of Additively Manufactured Microstructures. Microscopy and Microanalysis. 29(Supplement_1). 1413–1414. 1 indexed citations
6.
Adamczyk, Jesse, Shaun Whetten, Charles J. Pearce, et al.. (2023). Characterization of Fe-6Si Soft Magnetic Alloy Produced by Laser-Directed Energy Deposition Additive Manufacturing. JOM. 76(2). 863–874. 5 indexed citations
7.
Johnson, Kyle, et al.. (2022). Failure classification of porous additively manufactured parts using Deep Learning. Computational Materials Science. 204. 111098–111098. 11 indexed citations
8.
Khraishi, Tariq, et al.. (2022). Characterizing the Fatigue Behavior of Wrought Fe–Co–2V Using Experimental Techniques. Journal of Engineering Materials and Technology. 144(3). 5 indexed citations
9.
10.
Gordon, Jerard V., Joseph Pauza, Brent Griffith, et al.. (2021). Method for Rapid Modeling of Distortion in Laser Powder Bed Fusion Metal Additive Manufacturing Parts. Journal of Materials Engineering and Performance. 30(12). 8735–8745. 9 indexed citations
11.
Babuska, Tomas F., Kyle Johnson, Samuel Subia, et al.. (2020). An additive manufacturing design approach to achieving high strength and ductility in traditionally brittle alloys via laser powder bed fusion. Additive manufacturing. 34. 101187–101187. 18 indexed citations
12.
Clausen, B., Christopher R. D’Elia, Michael B. Prime, et al.. (2020). Complementary Measurements of Residual Stresses Before and After Base Plate Removal in an Intricate Additively-Manufactured Stainless-Steel Valve Housing. Additive manufacturing. 36. 101555–101555. 13 indexed citations
13.
Song, Bo, Brett Sanborn, Donald Francis Susan, et al.. (2019). Correction of specimen strain measurement in Kolsky tension bar experiments on work-hardening materials. International Journal of Impact Engineering. 132. 103328–103328. 9 indexed citations
14.
Salloum, Maher, et al.. (2018). Adaptive wavelet compression of large additive manufacturing experimental and simulation datasets. Computational Mechanics. 63(3). 491–510. 12 indexed citations
15.
Johnson, Kyle, Theron Rodgers, Jonathan D Madison, et al.. (2017). Simulation and experimental comparison of the thermo-mechanical history and 3D microstructure evolution of 304L stainless steel tubes manufactured using LENS. Computational Mechanics. 61(5). 559–574. 68 indexed citations
16.
Johnson, Kyle, et al.. (2016). Moisture, anisotropy, stress state, and strain rate effects on bighorn sheep horn keratin mechanical properties. Acta Biomaterialia. 48. 300–308. 50 indexed citations
17.
Zhang, Boyu, et al.. (2013). Secondary Structure Predictions for Long RNA Sequences Based on Inversion Excursions and MapReduce. PubMed. 11. 520–529. 3 indexed citations
18.
Zhang, Boyu, et al.. (2012). Secondary structure predictions for long RNA sequences based on inversion excursions. scholarworks - UTEP (The University of Texas at El Paso). 545–547. 1 indexed citations
19.
Hayes, R.W., et al.. (2009). Effect of heat treatment on the combination stress-rupture properties of allvac 718plus™. Materials Science and Engineering A. 510-511. 256–261. 16 indexed citations
20.
Li, Li, Nirav Patel, Peter Le, et al.. (2007). Neuromuscular Response to Cyclic Lumbar Twisting. Human Factors The Journal of the Human Factors and Ergonomics Society. 49(5). 820–829. 11 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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