F. Reed

537 citations
12 papers · 346 · h-index 6

Impact in

    • Speech and Audio Processing
    • Blind Source Separation Techniques
    • Direction-of-Arrival Estimation Techniques
    • Advanced Adaptive Filtering Techniques

Papers in

F. Reed

9 papers receiving 323 citations

Peers

F. Reed
Comparison fields: 5 of 41
  • Signal Processing 268
  • Computational Mechanics 248
  • Computer Vision and Pattern Recognition 45
  • Oceanography 15
  • Artificial Intelligence 39
Replace Akira Ikuta with:
Akira Ikuta Japan
Yekutiel Avargel Israel
Liming Shi China
S. Tressens Argentina
V. G. Reju Singapore
Hamid Reza Abutalebi Iran
Christophe Beaugeant Germany
Yanyan Wang China
Jie Zhuang China
F. Reed relative to Akira Ikuta Japan Akira Ikuta's profile →
Citations per field
00.5×2.6×
Akira Ikuta · 1×
Citations per year

Countries citing papers authored by F. Reed

Since Specialization
Citations

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

Fields of papers citing papers by F. Reed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Reed. 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 F. Reed. The network helps show where F. Reed may publish in the future.

Co-authors

The 11 scholars most cited alongside F. Reed, 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 F. Reed Line = papers co-authored together F. Reed links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1981169
2 198166
3 198057
4 199815
5 198115
6 198114
7 19854
8 19853
9 20112
10 19701
11 20230
12 20050

About F. Reed

F. Reed is a scholar working on Signal Processing, Computational Mechanics, Electrical and Electronic Engineering, Critical Care and Intensive Care Medicine and Neurology, having authored 12 papers that have together received 346 indexed citations. Recurring topics across this work include Speech and Audio Processing (8 papers), Advanced Adaptive Filtering Techniques (7 papers), Blind Source Separation Techniques (3 papers), Radiation Detection and Scintillator Technologies (1 paper), Thermography and Photoacoustic Techniques (1 paper), Indoor and Outdoor Localization Technologies (1 paper), Optical and Acousto-Optic Technologies (1 paper) and Calibration and Measurement Techniques (1 paper). The work is most often cited by research in Signal Processing (268 citations), Computational Mechanics (248 citations), Computer Vision and Pattern Recognition (45 citations), Oceanography (15 citations) and Artificial Intelligence (39 citations). F. Reed has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include P. Feintuch, N.J. Bershad, B. Fisher, Eric H. Jordan, C. Weber, N. Dianne Ezell, R. Eddie Clutton, Michael Eddleston, Rachael Gregson and H H Lawson. Their work appears in journals such as Veterinary Record, Journal of Engineering Materials and Technology, IEEE Transactions on Circuits and Systems, Applied Optics and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

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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