R. R. Skaggs

746 total citations
32 papers, 625 citations indexed

About

R. R. Skaggs is a scholar working on Materials Chemistry, Civil and Structural Engineering and Computational Mechanics. According to data from OpenAlex, R. R. Skaggs has authored 32 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Materials Chemistry, 14 papers in Civil and Structural Engineering and 9 papers in Computational Mechanics. Recurrent topics in R. R. Skaggs's work include High-Velocity Impact and Material Behavior (16 papers), Structural Response to Dynamic Loads (14 papers) and Combustion and flame dynamics (8 papers). R. R. Skaggs is often cited by papers focused on High-Velocity Impact and Material Behavior (16 papers), Structural Response to Dynamic Loads (14 papers) and Combustion and flame dynamics (8 papers). R. R. Skaggs collaborates with scholars based in United States. R. R. Skaggs's co-authors include B. A. Cheeseman, B. Pandurangan, Walter Roy, M. Grujičić, Kevin L. McNesby, Andrzej W. Miziolek, Thomas Litzinger, Frank C. DeLucia, Valeri I. Babushok and N. Coutris and has published in prestigious journals such as Combustion and Flame, International Journal of Multiphase Flow and International Journal of Impact Engineering.

In The Last Decade

R. R. Skaggs

31 papers receiving 594 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. R. Skaggs United States 16 246 227 222 137 128 32 625
R. Dondè Italy 15 105 0.4× 243 1.1× 227 1.0× 190 1.4× 79 0.6× 40 604
Shiquan Shan China 18 313 1.3× 227 1.0× 125 0.6× 64 0.5× 114 0.9× 83 837
J. Reimann Germany 12 57 0.2× 223 1.0× 130 0.6× 43 0.3× 220 1.7× 23 621
Martin Hertzberg United States 19 94 0.4× 274 1.2× 86 0.4× 114 0.8× 797 6.2× 57 1.2k
S.M. Jeng United States 22 36 0.1× 297 1.3× 337 1.5× 65 0.5× 173 1.4× 48 1.2k
Yei‐Chin Chao Taiwan 23 114 0.5× 837 3.7× 175 0.8× 534 3.9× 382 3.0× 54 1.1k
J. Reimann Germany 13 31 0.1× 302 1.3× 226 1.0× 144 1.1× 62 0.5× 27 590
Pinghui Zhao China 15 65 0.3× 411 1.8× 105 0.5× 118 0.9× 150 1.2× 45 679
P.B. Butler United States 13 43 0.2× 207 0.9× 166 0.7× 96 0.7× 324 2.5× 39 597
Silvana De Iuliis Italy 19 103 0.4× 608 2.7× 276 1.2× 550 4.0× 86 0.7× 51 1.2k

Countries citing papers authored by R. R. Skaggs

Since Specialization
Citations

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

Fields of papers citing papers by R. R. Skaggs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. R. Skaggs

This figure shows the co-authorship network connecting the top 25 collaborators of R. R. Skaggs. A scholar is included among the top collaborators of R. R. Skaggs 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 R. R. Skaggs. R. R. Skaggs 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.
Wen, Peng, et al.. (2009). Experimental Investigation of a Novel Blast Wave Mitigation Device. Shock and Vibration. 16(6). 543–553. 3 indexed citations
2.
Grujičić, M., B. Pandurangan, N. Coutris, et al.. (2009). Derivation and Validation of a Material Model for Clayey Sand for Use Inlandmine Detonation Computational Analyses. Multidiscipline Modeling in Materials and Structures. 5(4). 311–344. 22 indexed citations
3.
Grujičić, M., Tianhu He, B. Pandurangan, et al.. (2009). Development, parameterization, and validation of a visco-plastic material model for sand with different levels of water saturation. Proceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and Applications. 223(2). 63–81. 15 indexed citations
4.
Wen, Peng, et al.. (2009). Experimental Investigation of a Novel Blast Wave Mitigation Device. Shock and Vibration. 16(6). 543–553. 3 indexed citations
5.
Grujičić, M., B. Pandurangan, Gregory Mocko, et al.. (2008). A Combined Multi‐Material Euler/Lagrange Computational Analysis of Blast Loading Resulting from Detonation of Buried Landmines. Multidiscipline Modeling in Materials and Structures. 4(2). 105–124. 26 indexed citations
6.
Skaggs, R. R.. (2007). Exploiting Technical Opportunities to Capture Advanced Capabilities for Our Soldiers. Defense Technical Information Center (DTIC). 1 indexed citations
7.
Grujičić, M., B. Pandurangan, Yong Huang, et al.. (2007). Impulse loading resulting from shallow buried explosives in water-saturated sand. Proceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and Applications. 221(1). 21–35. 36 indexed citations
8.
Grujičić, M., B. Pandurangan, Imtiaz Haque, et al.. (2007). Computational Analysis of Mine Blast on a Commercial Vehicle Structure. Multidiscipline Modeling in Materials and Structures. 3(4). 431–460. 23 indexed citations
9.
Grujičić, M., B. Pandurangan, Joshua D. Summers, et al.. (2007). Application of the Modified Compaction Material Model to the Analysis of Landmine Detonation in Soil with Various Degrees of Water Saturation. Shock and Vibration. 15(1). 79–99. 30 indexed citations
10.
McNesby, Kevin L., et al.. (2005). Experimental and computational studies of oxidizer and fuel side addition of ethanol to opposed flow air/ethylene flames. Combustion and Flame. 142(4). 413–427. 97 indexed citations
11.
Yoon, Sam S., et al.. (2004). Numerical modeling and experimental measurements of a high speed solid-cone water spray for use in fire suppression applications. International Journal of Multiphase Flow. 30(11). 1369–1388. 39 indexed citations
12.
Babushok, Valeri I., Kevin L. McNesby, Andrzej W. Miziolek, & R. R. Skaggs. (2003). Modeling of synergistic effects in flame inhibition by 2-H heptafluoropropane blended with sodium bicarbonate. Combustion and Flame. 133(1-2). 201–205. 52 indexed citations
13.
Skaggs, R. R.. (2002). Assessment of the Fire Suppression Mechanics for HFC-227ea Combined With NaHCO3.. 13 indexed citations
14.
McNesby, Kevin L., Richard T. Wainner, R. R. Skaggs, et al.. (2001). Detection and measurement of middle-distillate fuel vapors by use of tunable diode lasers. Applied Optics. 40(6). 840–840. 4 indexed citations
15.
Skaggs, R. R., et al.. (2001). Spectroscopic Studies of Low Pressure Opposed Flow Methane/Air Flames Inhibited by Fe(CO)5, CF3Br, or N2. Combustion Science and Technology. 162(1). 1–17. 15 indexed citations
16.
McNesby, Kevin L., et al.. (1999). Diode Laser-Based Sensor for Fast Measurement of Binary Gas Mixtures | NIST. 1 indexed citations
17.
McNesby, Kevin L., et al.. (1998). Diode-laser-based measurements of hydrogen fluoride gas during chemical suppression of fires. Applied Physics B. 67(4). 443–447. 13 indexed citations
18.
McNesby, Kevin L., et al.. (1997). Spectroscopy of Inhibited Counterflow Diffusion Flames. 1 indexed citations
19.
Skaggs, R. R., Michael P. Tolocka, & J. Houston Miller. (1996). An Evalution of Emissions from Laminar,Underventilated Hydrocarbon Diffusion Flames. Combustion Science and Technology. 116-117(1-6). 399–426. 3 indexed citations
20.

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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