Abdolhossein Fathi

1.1k citations
48 papers · 795 indexed · h-index 14
Topics
Machine Learning in Bioinformatics (7 papers)Protein Structure and Dynamics (6 papers)Biometric Identification and Security (6 papers)
Partner nations
IranUnited States

In The Last Decade

Abdolhossein Fathi

43 papers receiving 754 citations

Peers

Abdolhossein Fathi
Comparison fields: 5 of 95
  • Computer Vision and Pattern Recognition 472
  • Radiology, Nuclear Medicine and Imaging 163
  • Signal Processing 134
  • Media Technology 118
  • Artificial Intelligence 110
Replace Malaya Kumar Nath with:
Malaya Kumar Nath India
Gil‐Jin Jang South Korea
Roberto Rigamonti Switzerland
Cam-Hao Hua South Korea
Behzad Bozorgtabar Switzerland
Kele Xu China
Shishir Maheshwari India
Ademola E. Ilesanmi Thailand
Raja Bala United States
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Citations per field
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Citations per year

Countries citing papers authored by Abdolhossein Fathi

Since Specialization
Citations

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

Fields of papers citing papers by Abdolhossein Fathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdolhossein Fathi

This figure shows the co-authorship network connecting the top 25 collaborators of Abdolhossein Fathi. A scholar is included among the top collaborators of Abdolhossein Fathi 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 Abdolhossein Fathi. Abdolhossein Fathi 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
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 11
6 11
7 2
8 26
9 7
10 30
11 13
12 7
13 31
14
Effect of Purposeful Feature Extraction in High-dimensional Kinship Verification Problem
3
15 24
16 5
17 19
18 99
19 9
20 10

About Abdolhossein Fathi

Abdolhossein Fathi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 48 papers that have together received 795 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (7 papers), Protein Structure and Dynamics (6 papers) and Biometric Identification and Security (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (472 citations), Media Technology (118 citations) and Signal Processing (134 citations). Abdolhossein Fathi has collaborated with scholars based in Iran and United States. Frequent co-authors include Ahmad Reza Naghsh‐Nilchi, Fardin Abdali-Mohammadi, Pendar Alirezazadeh, Mohammad Taghi Manzuri and Ghazaleh Taherzadeh. Their work appears in journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and International Journal of Remote Sensing.

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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