United States Department of Defense

47.5k citations
2.1k papers ·

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech and dialogue systems

Papers in

United States Department of Defense

1.8k papers receiving 42.2k citations

Peers

United States Department of Defense
Comparison fields: 5 of 248
  • Signal Processing 3.9k
  • Artificial Intelligence 7.5k
  • Computer Networks and Communications 5.0k
  • Software 799
  • Emergency Medicine 1.2k
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United States Department of the Navy United States
University of the Sciences United States
Environmental and Occupational Health Sciences Institute United States
United States Air Force United States
Northrop Grumman (United States) United States
United States Navy United States
Abt Global (United States) United States
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Citations per field
00.5×1.5×
Center for Information Technology · 1×
Citations per year

Countries citing scholars working at United States Department of Defense

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at United States Department of Defense. 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 produced at United States Department of Defense with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites United States Department of Defense more than expected).

Fields of papers published by authors at United States Department of Defense

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with United States Department of Defense at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with United States Department of Defense at the time of their publication.

About United States Department of Defense

In recent decades, authors affiliated with United States Department of Defense have published 2.1k papers, which have received a total of 47.5k indexed citations . Scholars at this organization have produced 146 papers in Signal Processing, 48 papers in Software, 298 papers in Artificial Intelligence, 195 papers in Computer Networks and Communications and 32 papers in Critical Care and Intensive Care Medicine on the topics of Speech and Audio Processing (89 papers), Speech Recognition and Synthesis (76 papers), Advanced Data Compression Techniques (40 papers), Natural Language Processing Techniques (40 papers), Information and Cyber Security (37 papers), Service-Oriented Architecture and Web Services (36 papers), Parallel Computing and Optimization Techniques (34 papers) and Music and Audio Processing (33 papers). Their work is cited by papers focused on Signal Processing (3.9k citations), Artificial Intelligence (7.5k citations), Computer Networks and Communications (5.0k citations), Software (799 citations) and Emergency Medicine (1.2k citations). Authors at United States Department of Defense collaborate with scholars in United States, United Kingdom and China and have published in prestigious journals including The Journal of Trauma: Injury, Infection, and Critical Care, Computing in Science & Engineering, The Journal of the Acoustical Society of America, The Journal of Immunology and Bulletin of the Atomic Scientists. Some of United States Department of Defense's most productive authors include T. Charles Clancy, Shizuo Akira, Taro Kawai, Chris A. Mack, Ian F. Akyildiz, Michael D. Bender, Andrew K. Semmel, Joseph P. Campbell, Norbert N. Bojarski and George R. Doddington.

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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