G.H. Freeman

1.8k citations
38 papers · 700 indexed · h-index 13

Impact in

    • Image Retrieval and Classification Techniques
    • Advanced Image and Video Retrieval Techniques
    • Medical Image Segmentation Techniques
    • Image and Signal Denoising Methods
    • Image Processing and 3D Reconstruction
    • Advanced Data Compression Techniques
    • Speech and Audio Processing

Papers in

G.H. Freeman

35 papers receiving 643 citations

Peers

G.H. Freeman
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 496
  • Signal Processing 101
  • Media Technology 76
  • Mathematical Physics 61
  • Artificial Intelligence 107
Replace Amel Benazza‐Benyahia with:
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Alaa M. Abbas Egypt
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Zhiqiu Xia China
Yukihiko Yamashita Japan
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Citations per field
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Citations per year

Countries citing papers authored by G.H. Freeman

Since Specialization
Citations

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

Fields of papers citing papers by G.H. Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.H. Freeman. 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 G.H. Freeman. The network helps show where G.H. Freeman may publish in the future.

Co-authorship network

The 23 scholars most cited alongside G.H. Freeman, 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 G.H. Freeman Line = papers co-authored together G.H. Freeman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20104
2 2008106
3 20085
4 200652
5 2006195
6 200613
7 20051
8 20042
9 200438
10 20043
11 200385
12 20035
13 20023
14 20021
15 20024
16 200213
17 20029
18 20020
19 20025
20 199626

About G.H. Freeman

G.H. Freeman is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence and Mathematical Physics, having authored 38 papers that have together received 700 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (10 papers), Speech and Audio Processing (10 papers), Medical Image Segmentation Techniques (7 papers), Advanced Data Compression Techniques (6 papers), Speech Recognition and Synthesis (6 papers), Wireless Communication Networks Research (6 papers), Advanced Wireless Network Optimization (6 papers) and Advanced Image Fusion Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (496 citations), Signal Processing (101 citations), Media Technology (76 citations), Mathematical Physics (61 citations) and Artificial Intelligence (107 citations). G.H. Freeman has collaborated with scholars based in Canada, Iran and Saudi Arabia. Frequent co-authors include Naif Alajlan, Mohamed S. Kamel, Ibrahim El Rube, Edward R. Vrscay, Weihua Zhuang, M.M.A. Salama, Aaron Fenster, Bernard Chiu, Robert L. Brennan and Hamid Sheikhzadeh. Their work appears in journals such as Journal of Digital Imaging, IEEE Transactions on Image Processing, The Journal of the Acoustical Society of America, IEEE Transactions on Mobile Computing and IEEE Signal Processing Letters.

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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