G.H. Freeman

1.9k citations
45 papers · 804 · 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

42 papers receiving 746 citations

Peers

G.H. Freeman
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 571
  • Signal Processing 113
  • Media Technology 83
  • Mathematical Physics 64
  • Artificial Intelligence 122
Replace Amel Benazza‐Benyahia with:
Amel Benazza‐Benyahia Tunisia
Achraf Daoui Morocco
S.Z. Li Singapore
Zengke Zhang China
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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-authors

The 25 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

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006218
2 2008120
3 200393
4 200658
5 200441
6 200228
7 199627
8 200319
9 200619
10 200417
11 200516
12 198814
13 200213
14 200711
15 200311
16 200410
17 20029
18 20029
19 20067
20 20086

About G.H. Freeman

G.H. Freeman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Computational Mechanics, having authored 45 papers that have together received 804 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (12 papers), Speech and Audio Processing (11 papers), Medical Image Segmentation Techniques (8 papers), Advanced Data Compression Techniques (7 papers), Image Retrieval and Classification Techniques (7 papers), Wireless Communication Networks Research (6 papers), Advanced Wireless Network Optimization (6 papers) and Advanced Adaptive Filtering Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (571 citations), Signal Processing (113 citations), Media Technology (83 citations), Mathematical Physics (64 citations) and Artificial Intelligence (122 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, Hamid Sheikhzadeh, Robert L. Brennan, Bernard Chiu and Aaron Fenster. 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 Signal Processing Letters and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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