Michael S. Oliver

19 total papers · 738 total citations
10 papers, 574 citations indexed

About

Michael S. Oliver is a scholar working on Mechanics of Materials, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Michael S. Oliver has authored 10 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Mechanics of Materials, 4 papers in Mechanical Engineering and 3 papers in Computational Mechanics. Recurrent topics in Michael S. Oliver's work include Energetic Materials and Combustion (3 papers), Combustion and Detonation Processes (2 papers) and Granular flow and fluidized beds (2 papers). Michael S. Oliver is often cited by papers focused on Energetic Materials and Combustion (3 papers), Combustion and Detonation Processes (2 papers) and Granular flow and fluidized beds (2 papers). Michael S. Oliver collaborates with scholars based in United States and Austria. Michael S. Oliver's co-authors include Marcia A. Cooper, Daniel R. Guildenbecher, Michelle L. Griffith, Yi Chen, J.E. Smugeresky, Ephraim B. Washburn, Michael D. Baldwin, L.D. Harwell, M.E. Schlienger and Mark T. Ensz and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Optics Letters and Combustion and Flame.

In The Last Decade

Michael S. Oliver

10 papers receiving 542 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Michael S. Oliver	284	199	166	142	121	10	574
Chien-Chou Tseng	230 0.8×	190 1.0×	134 0.8×	72 0.5×	244 2.0×	28	601
Mickaël Courtois	548 1.9×	130 0.7×	62 0.4×	155 1.1×	203 1.7×	22	648
M. Leblanc	375 1.3×	148 0.7×	63 0.4×	59 0.4×	58 0.5×	23	578
Chengcheng Luo	190 0.7×	181 0.9×	37 0.2×	37 0.3×	34 0.3×	12	601
Choong Don Yoo	444 1.6×	114 0.6×	59 0.4×	45 0.3×	141 1.2×	24	551
Daniel Cellucci	335 1.2×	45 0.2×	153 0.9×	49 0.3×	35 0.3×	18	587
N. S. Tsai	470 1.7×	128 0.6×	37 0.2×	132 0.9×	87 0.7×	23	686
K. Mundra	451 1.6×	71 0.4×	65 0.4×	35 0.2×	97 0.8×	14	501
Tony Fast	206 0.7×	264 1.3×	48 0.3×	28 0.2×	27 0.2×	13	623
Charles Josserond	352 1.2×	123 0.6×	91 0.5×	36 0.3×	28 0.2×	15	625

Countries citing papers authored by Michael S. Oliver

Since Specialization

Citations

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

Fields of papers citing papers by Michael S. Oliver

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael S. Oliver

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

All Works

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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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