Ghader Karimian

475 total citations
34 papers, 334 citations indexed

About

Ghader Karimian is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Ghader Karimian has authored 34 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 14 papers in Electrical and Electronic Engineering and 8 papers in Biomedical Engineering. Recurrent topics in Ghader Karimian's work include Analog and Mixed-Signal Circuit Design (7 papers), Advanced Vision and Imaging (5 papers) and Robotics and Sensor-Based Localization (5 papers). Ghader Karimian is often cited by papers focused on Analog and Mixed-Signal Circuit Design (7 papers), Advanced Vision and Imaging (5 papers) and Robotics and Sensor-Based Localization (5 papers). Ghader Karimian collaborates with scholars based in Iran, United Kingdom and Türkiye. Ghader Karimian's co-authors include Djavanshir Djozan, Tahmineh Baheri, Maryam Shoaran, Ali Rostami, Levent Trabzon, Abolghasem Jouyban, Jafar Sobhi, Hossein Ebrahimnezhad, Karim Faez and Mohammad Ali Badamchizadeh and has published in prestigious journals such as BMC Bioinformatics, Physics of Fluids and Applied Soft Computing.

In The Last Decade

Ghader Karimian

31 papers receiving 321 citations

Peers

Ghader Karimian
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 95
  • Aerospace Engineering 73
  • Electrical and Electronic Engineering 63
  • Biomedical Engineering 59
  • Archeology 51
Replace Euisun Choi with:
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Euisun Choi South Korea View profile →
Citations per field, relative to Ghader Karimian
Ghader Karimian · 1×
Citations per year, relative to Ghader Karimian
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Countries citing papers authored by Ghader Karimian

Since Specialization
Citations

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

Fields of papers citing papers by Ghader Karimian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ghader Karimian

This figure shows the co-authorship network connecting the top 25 collaborators of Ghader Karimian. A scholar is included among the top collaborators of Ghader Karimian 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 Ghader Karimian. Ghader Karimian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 7
3 2
4 24
5 5
6 0
7 0
8 12
9 10
10 4
11 7
12 9
13 6
14 7
15 32
16 1
17 2
18
A new very high speed CMOS 4−2 compressor for fast digital arithmetic circuits
2
19 70
20
A New Efficient Stereo Line Segment Matching Algorithm Based on More Effective Usage of the Photometric, Geometric and Structural Information(Stereo and Multiple View Analysis, Machine Vision Applications)
1

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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