Frederick Garber

1.1k citations
73 papers · 567 · h-index 14

Impact in

Papers in

Frederick Garber

59 papers receiving 502 citations

Peers

Frederick Garber
Comparison fields: 5 of 88
  • Computer Networks and Communications 166
  • Aerospace Engineering 168
  • Signal Processing 49
  • Artificial Intelligence 126
  • Computer Vision and Pattern Recognition 76
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Citations per field
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Citations per year

Countries citing papers authored by Frederick Garber

Since Specialization
Citations

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

Fields of papers citing papers by Frederick Garber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Frederick Garber, 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 Frederick Garber Line = papers co-authored together Frederick Garber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199076
2 199346
3 199142
4 199940
5 200736
6 198836
7
Analysis of generalized quadriphase spread-spectrum communications
198031
8 198126
9 198025
10 198817
11 200015
12
Performance of Synthetic Neural Network Classification of Noisy Radar Signals
198814
13 198813
14 199113
15 19929
16 19749
17 19888
18 19898
19 19907
20 19687

About Frederick Garber

Frederick Garber is a scholar working on Aerospace Engineering, Computer Networks and Communications, Electrical and Electronic Engineering, Literature and Literary Theory and Artificial Intelligence, having authored 73 papers that have together received 567 indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (14 papers), Radar Systems and Signal Processing (9 papers), Wireless Communication Networks Research (7 papers), Advanced Wireless Communication Techniques (7 papers), Neural Networks and Applications (5 papers), Thoreau and American Literature (4 papers), Geophysical Methods and Applications (4 papers) and Infrared Target Detection Methodologies (4 papers). The work is most often cited by research in Computer Networks and Communications (166 citations), Aerospace Engineering (168 citations), Signal Processing (49 citations), Artificial Intelligence (126 citations) and Computer Vision and Pattern Recognition (76 citations). Frederick Garber has collaborated with scholars based in United States. Frequent co-authors include M.B. Pursley, Ismail Jouny, Michael Bryant, Stanley C. Ahalt, E.K. Walton, J.S. Lehnert, A.K. Shaw, Edmund G. Zelnio, R. Jagadeesh Kannan and Zhiqiang Wu. Their work appears in journals such as Comparative Literature, Studies in Romanticism, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Aerospace and Electronic Systems and IEEE Transactions on Communications.

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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