Michael M. Micci

129 total papers · 1.2k total citations
81 papers, 886 citations indexed

About

Michael M. Micci is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering and Computational Mechanics. According to data from OpenAlex, Michael M. Micci has authored 81 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Aerospace Engineering, 36 papers in Electrical and Electronic Engineering and 19 papers in Computational Mechanics. Recurrent topics in Michael M. Micci's work include Plasma Diagnostics and Applications (31 papers), Rocket and propulsion systems research (22 papers) and Electrohydrodynamics and Fluid Dynamics (16 papers). Michael M. Micci is often cited by papers focused on Plasma Diagnostics and Applications (31 papers), Rocket and propulsion systems research (22 papers) and Electrohydrodynamics and Fluid Dynamics (16 papers). Michael M. Micci collaborates with scholars based in United States, Germany and France. Michael M. Micci's co-authors include Andrew Ketsdever, Lyle N. Long, Michael Oschwald, Brian Wong, John W. Daily, Sven G. Bilén, M. Głogowski, Leonard H. Caveny, J. R. Wilson and Daniel J. Sullivan and has published in prestigious journals such as The Journal of Chemical Physics, AIAA Journal and Computer Physics Communications.

In The Last Decade

Michael M. Micci

76 papers receiving 791 citations

Author Peers

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

Author						Papers	Cites
Michael M. Micci	463	315	231	168	149	81	886
Xilong Yu	182 0.4×	344 1.1×	299 1.3×	103 0.6×	237 1.6×	81	846
G. C. Herring	194 0.4×	235 0.7×	367 1.6×	90 0.5×	141 0.9×	66	754
Sohail Zaidi	427 0.9×	567 1.8×	404 1.7×	78 0.5×	99 0.7×	86	996
Jerry Grey	171 0.4×	180 0.6×	143 0.6×	65 0.4×	126 0.8×	50	745
Paul M. Chung	432 0.9×	179 0.6×	325 1.4×	73 0.4×	189 1.3×	41	943
Daniel I. Pineda	148 0.3×	179 0.6×	249 1.1×	72 0.4×	123 0.8×	55	725
А. И. Осипов	377 0.8×	107 0.3×	152 0.7×	53 0.3×	74 0.5×	58	783
Kuang-Yu Hsu	159 0.3×	460 1.5×	686 3.0×	106 0.6×	113 0.8×	52	989
J. C. McDaniel	171 0.4×	365 1.2×	650 2.8×	69 0.4×	116 0.8×	36	901
Richard Branam	191 0.4×	268 0.9×	711 3.1×	236 1.4×	45 0.3×	58	974

Countries citing papers authored by Michael M. Micci

Since Specialization

Citations

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

Fields of papers citing papers by Michael M. Micci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael M. Micci

This figure shows the co-authorship network connecting the top 25 collaborators of Michael M. Micci. A scholar is included among the top collaborators of Michael M. Micci 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 M. Micci. Michael M. Micci 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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