The Journal of Defense Modeling and Simulation Applications Methodology Technology

4.5k citations
614 papers · · active since 2016

Impact in

Papers in

The Journal of Defense Modeling and Simulation Applications Methodology Technology

536 papers receiving 4.2k citations

Peers

The Journal of Defense Modeling and Simulation Applications Methodology Technology
Comparison fields: 5 of 159
  • Management Science and Operations Research 948
  • Computer Networks and Communications 909
  • Control and Systems Engineering 802
  • Software 133
  • Aerospace Engineering 718
Replace Operations research, computer science. Interface series with:
Operations research, computer science. Interface series United States
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CAAI Transactions on Intelligence Technology China
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The Journal of Defense Modeling and Simulation Applications Methodology Technology relative to Operations research, computer science. Interface series United States Operations research, computer science. Interface series's profile →
Citations per field
00.5×1.5×2×2.3×
Operations research, computer science. Interface series · 1×
Citations per year

Countries where authors publish in The Journal of Defense Modeling and Simulation Applications Methodology Technology

Since Specialization
Citations

This map shows the geographic impact of research published in The Journal of Defense Modeling and Simulation Applications Methodology Technology. 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 papers published in The Journal of Defense Modeling and Simulation Applications Methodology Technology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The Journal of Defense Modeling and Simulation Applications Methodology Technology more than expected).

Fields of papers published in The Journal of Defense Modeling and Simulation Applications Methodology Technology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in The Journal of Defense Modeling and Simulation Applications Methodology Technology. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in The Journal of Defense Modeling and Simulation Applications Methodology Technology.

About The Journal of Defense Modeling and Simulation Applications Methodology Technology

The 614 papers published in The Journal of Defense Modeling and Simulation Applications Methodology Technology in the last decades have received a total of 4.5k indexed citations . Papers published in The Journal of Defense Modeling and Simulation Applications Methodology Technology usually cover Management Science and Operations Research (156 papers), Control and Systems Engineering (144 papers), Aerospace Engineering (145 papers), Safety, Risk, Reliability and Quality (37 papers) and Computer Networks and Communications (92 papers) specifically the topics of Simulation Techniques and Applications (111 papers), Military Strategy and Technology (58 papers), Military Defense Systems Analysis (53 papers), Systems Engineering Methodologies and Applications (52 papers), Guidance and Control Systems (33 papers), Information and Cyber Security (33 papers), Human-Automation Interaction and Safety (27 papers) and Network Security and Intrusion Detection (27 papers). The most active scholars publishing in The Journal of Defense Modeling and Simulation Applications Methodology Technology are Levent Yılmaz, Saurabh Mittal, Dipankar Dasgupta, Sajib Sen, Zahid Akhtar, Michael Gargalakos, Bernard P. Zeigler, Paul K Davis, Michael D. Proctor and Raymond R. Hill.

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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