David S. Stargel

2.6k total citations · 1 hit paper
9 papers, 1.8k citations indexed

About

David S. Stargel is a scholar working on Ecological Modeling, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, David S. Stargel has authored 9 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Ecological Modeling, 6 papers in Mechanical Engineering and 4 papers in Materials Chemistry. Recurrent topics in David S. Stargel's work include Surface Treatment and Residual Stress (6 papers), Erosion and Abrasive Machining (6 papers) and High-Velocity Impact and Material Behavior (4 papers). David S. Stargel is often cited by papers focused on Surface Treatment and Residual Stress (6 papers), Erosion and Abrasive Machining (6 papers) and High-Velocity Impact and Material Behavior (4 papers). David S. Stargel collaborates with scholars based in United States. David S. Stargel's co-authors include Edward H. Glaessgen, Ramana V. Grandhi, Arun Shukla, Puneet Kumar, Kristina Langer, James LeBlanc, Gulshan Singh and A. H. Clauer and has published in prestigious journals such as Journal of Materials Processing Technology, Composite Structures and International Journal of Impact Engineering.

In The Last Decade

David S. Stargel

9 papers receiving 1.7k citations

Hit Papers

The Digital Twin Paradigm for Future NASA and U.S. Air Fo... 2012 2026 2016 2021 2012 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles
    2012 1.5k citations Edward H. Glaessgen, David S. Stargel profile →

Peers

David S. Stargel
Edward H. Glaessgen United States
Guofu Ding China
Jihong Yan China
Eric Tuegel United States
Yu Zheng China
Andrew Starr United Kingdom
G. Gary Wang Canada
Jason Yon United Kingdom
Benjamin Schleich Germany
Yan Lu United States
Edward H. Glaessgen United States
David S. Stargel
Citations per year, relative to David S. Stargel David S. Stargel (= 1×) peers Edward H. Glaessgen

Countries citing papers authored by David S. Stargel

Since Specialization
Citations

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

Fields of papers citing papers by David S. Stargel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Stargel. 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 David S. Stargel. The network helps show where David S. Stargel may publish in the future.

Co-authorship network of co-authors of David S. Stargel

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

All Works

9 of 9 papers shown
1.
Kumar, Puneet, James LeBlanc, David S. Stargel, & Arun Shukla. (2012). Effect of plate curvature on blast response of aluminum panels. International Journal of Impact Engineering. 46. 74–85. 70 indexed citations
2.
Glaessgen, Edward H. & David S. Stargel. (2012). The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles. 1492 indexed citations breakdown →
3.
Kumar, Puneet, David S. Stargel, & Arun Shukla. (2012). Effect of plate curvature on blast response of carbon composite panels. Composite Structures. 99. 19–30. 54 indexed citations
4.
Singh, Gulshan, Ramana V. Grandhi, & David S. Stargel. (2011). Modeling and Parameter Design of a Laser Shock Peening Process. International Journal for Computational Methods in Engineering Science and Mechanics. 12(5). 233–253. 20 indexed citations
5.
Singh, Gulshan, Ramana V. Grandhi, & David S. Stargel. (2010). Modified particle swarm optimization for a multimodal mixed-variable laser peening process. Structural and Multidisciplinary Optimization. 42(5). 769–782. 21 indexed citations
6.
Grandhi, Ramana V., et al.. (2010). Simulation of residual stress induced by a laser peening process through inverse optimization of material models. Journal of Materials Processing Technology. 210(14). 1997–2006. 59 indexed citations
7.
Singh, Gulshan, et al.. (2008). Reliable Material Models for High Strain Rate Process Simulation. 1 indexed citations
8.
Singh, Gulshan, Ramana V. Grandhi, David S. Stargel, & Kristina Langer. (2008). Modeling and Optimization of a Laser Shock Peening Process. 7 indexed citations
9.
Grandhi, Ramana V., et al.. (2008). Material model validation for laser shock peening process simulation. Modelling and Simulation in Materials Science and Engineering. 17(1). 15010–15010. 71 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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