Michael A. Day

582 citations
30 papers · 422 · h-index 11

Impact in

Papers in

Michael A. Day

27 papers receiving 409 citations

Peers

Michael A. Day
Comparison fields: 5 of 94
  • Aerospace Engineering 94
  • Computer Networks and Communications 78
  • Computational Mechanics 64
  • Fluid Flow and Transfer Processes 18
  • Ocean Engineering 44
Replace G. S. Agarwal with:
G. S. Agarwal India
Jianying Zhang China
T. Imamura Japan
Alison Shaw United Kingdom
Xin Lin China
W.M.B. Duval United States
Lars Lading Denmark
Gisu Park South Korea
Xiaohu Guo United Kingdom
Michael A. Day relative to G. S. Agarwal India G. S. Agarwal's profile →
Citations per field
00.5×3.5×
G. S. Agarwal · 1×
Citations per year

Countries citing papers authored by Michael A. Day

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Michael A. Day, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael A. Day Line = papers co-authored together Michael A. Day links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990110
2 201661
3 199958
4 199950
5 201530
6
50 vs. 50 by 2015: Swarm vs. Swarm UAV Live-Fly Competition at the Naval Postgraduate School
201313
7 196512
8 201612
9 198411
10 201810
11 199810
12
Multi-Agent Task Negotiation Among UAVs to Defend Against Swarm Attacks
20126
13 19855
14 19884
15 19944
16 19874
17 20233
18 19773
19 19853
20 19873

About Michael A. Day

Michael A. Day is a scholar working on Aerospace Engineering, Materials Chemistry, Computer Vision and Pattern Recognition, History and Philosophy of Science and Atomic and Molecular Physics, and Optics, having authored 30 papers that have together received 422 indexed citations. Recurring topics across this work include Guidance and Control Systems (5 papers), Robotic Path Planning Algorithms (4 papers), Military Defense Systems Analysis (4 papers), Material Dynamics and Properties (3 papers), High-pressure geophysics and materials (3 papers), Phase Equilibria and Thermodynamics (3 papers), Mesoporous Materials and Catalysis (2 papers) and Theoretical and Computational Physics (2 papers). The work is most often cited by research in Aerospace Engineering (94 citations), Computer Networks and Communications (78 citations), Computational Mechanics (64 citations), Fluid Flow and Transfer Processes (18 citations) and Ocean Engineering (44 citations). Michael A. Day has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Nigel A. Seaton, Timothy H. Chung, Duane Davis, Robert J. Hardy, Kevin Jones, T. L. Cottrell, Michael B. Clement, Kevin J. DeMarco, E. R. Cowley and Clifford P. Harbour. Their work appears in journals such as Physical review. B, Condensed matter, Langmuir, Erkenntnis, The Journal of Chemical Physics and Physics in Perspective.

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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