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.
CL‐20 performance exceeds that of HMX and its sensitivity is moderate
1997459 citationsRandall L. Simpson, P. A. Urtiew et al.Propellants Explosives Pyrotechnicsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by D. Mark Hoffman
Since
Specialization
Citations
This map shows the geographic impact of D. Mark Hoffman'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 D. Mark Hoffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Mark Hoffman more than expected).
This network shows the impact of papers produced by D. Mark Hoffman. 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 D. Mark Hoffman. The network helps show where D. Mark Hoffman may publish in the future.
Co-authorship network of co-authors of D. Mark Hoffman
This figure shows the co-authorship network connecting the top 25 collaborators of D. Mark Hoffman.
A scholar is included among the top collaborators of D. Mark Hoffman 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 D. Mark Hoffman. D. Mark Hoffman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Willey, Trevor M., D. Mark Hoffman, T. van Buuren, et al.. (2021). In-Situ Monitoring of the Microstructure of TATB-based Explosive Formulations During Temperature Cycling using Ultra-small Angle X-ray Scattering. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
3.
Hoffman, D. Mark, et al.. (2013). Fourier Transform Rheology of Paste Explosives: I. Semtex Formulations. University of North Texas Digital Library (University of North Texas).1 indexed citations
Hoffman, D. Mark, et al.. (2008). Comparison of New and Legacy TATBs. Journal of Energetic Materials. 26(3). 139–162.21 indexed citations
8.
Hoffman, D. Mark, et al.. (2008). Formulation and Mechanical Properties of LLM-105 PBXs. University of North Texas Digital Library (University of North Texas).5 indexed citations
Hoffman, D. Mark. (2002). Density Distributions of Cyclotrimethylenetrinitramines (RDX). University of North Texas Digital Library (University of North Texas).2 indexed citations
12.
Tran, T. D., et al.. (2002). Characterization of 2,6-Diamino-3,5-Dinitropyrazine-1-Oxide (LLM-105) as an Insensitive High Explosive Material. University of North Texas Digital Library (University of North Texas).17 indexed citations
Hoffman, D. Mark, et al.. (1994). Clean, agile alternative binders, additives and plasticizers for propellant and explosive formulations. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).2 indexed citations
Hoffman, D. Mark, et al.. (1981). Dynamic mechanical and molecular weight measurements on polymer bonded explosives from thermally accelerated aging tests. II. A poly(ester-urethane) binder. University of North Texas Digital Library (University of North Texas).2 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.