K. Etemad

1.4k citations
12 papers · 840 indexed · 1 hit paper · h-index 8
Topics
Image Retrieval and Classification Techniques (6 papers)Image and Signal Denoising Methods (4 papers)Neural Networks and Applications (4 papers)
Partner nations
United States

In The Last Decade

K. Etemad

12 papers receiving 778 citations

Hit Papers

Discriminant analysis for recognition of human face images19972026200620161997200400600

Peers

K. Etemad
Comparison fields: 5 of 71
  • Computer Vision and Pattern Recognition 753
  • Signal Processing 183
  • Media Technology 140
  • Artificial Intelligence 125
  • Analytical Chemistry 43
Replace Purdy Ho with:
Purdy Ho United States
Fanlong Zhang China
Yanwei Pang China
S.Z. Li Singapore
Wai-Kuen Cham Hong Kong
G.H. Freeman Canada
Diego A. Socolinsky United States
Andrew Wagner United States
Andrea Selinger United States
K. Etemad relative to Purdy Ho United States Purdy Ho's profile →
Citations per field
00.5×2.7×
Purdy Ho · 1×
Citations per year

Countries citing papers authored by K. Etemad

Since Specialization
Citations

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

Fields of papers citing papers by K. Etemad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Etemad

This figure shows the co-authorship network connecting the top 25 collaborators of K. Etemad. A scholar is included among the top collaborators of K. Etemad based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with K. Etemad. K. Etemad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 12
3 42
4 10
5 7
6 11
7 69
8
Discriminant Analysis for Recognition of Human Face Images (Invited Paper)
14
9
Discriminant analysis for recognition of human face imagesbreakdown →
611
10 57
11
Multi-scale discriminant analysis and recognition of signals and images
1
12 5

About K. Etemad

K. Etemad is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Signal Processing, having authored 12 papers that have together received 840 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (6 papers), Image and Signal Denoising Methods (4 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (753 citations), Signal Processing (183 citations) and Media Technology (140 citations). K. Etemad has collaborated with scholars based in United States. Frequent co-authors include Rama Chellappa and David Doermann. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Journal of the Optical Society of America A.

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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