Ali Dabouei

457 citations
19 papers · 151 · h-index 8

Impact in

Papers in

Ali Dabouei

18 papers receiving 143 citations

Peers

Ali Dabouei
Comparison fields: 5 of 45
  • Signal Processing 62
  • Computer Vision and Pattern Recognition 93
  • Safety Research 18
  • Artificial Intelligence 55
  • Computer Graphics and Computer-Aided Design 2
Replace Sobhan Soleymani with:
Sobhan Soleymani United States
Maha Charfeddine Tunisia
Tribhuvanesh Orekondy Germany
Luca Debiasi Austria
Laurent El Shafey Switzerland
László Lefkovits Romania
Jascha Kolberg Germany
Valérie Viêt Triêm Tông France
Hatef Otroshi Shahreza Switzerland
Ali Dabouei relative to Sobhan Soleymani United States Sobhan Soleymani's profile →
Citations per field
00.5×1.6×
Sobhan Soleymani · 1×
Citations per year

Countries citing papers authored by Ali Dabouei

Since Specialization
Citations

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

Fields of papers citing papers by Ali Dabouei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Ali Dabouei, 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 Ali Dabouei Line = papers co-authored together Ali Dabouei links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 202121
2 201919
3 201819
4 201819
5 201818
6 202016
7 20189
8 20198
9 20245
10 20214
11 20224
12 20222
13 20252
14 20251
15 20231
16 20241
17 20241
18 20201
19 20230

About Ali Dabouei

Ali Dabouei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 151 indexed citations. Recurring topics across this work include Biometric Identification and Security (7 papers), Face recognition and analysis (5 papers), Anomaly Detection Techniques and Applications (5 papers), AI in cancer detection (4 papers), Face and Expression Recognition (2 papers), Video Surveillance and Tracking Methods (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Signal Processing (62 citations), Computer Vision and Pattern Recognition (93 citations), Safety Research (18 citations), Artificial Intelligence (55 citations) and Computer Graphics and Computer-Aided Design (2 citations). Ali Dabouei has collaborated with scholars based in United States, Bangladesh and India. Frequent co-authors include Nasser M. Nasrabadi, Sobhan Soleymani, Jeremy Dawson, Hadi Kazemi, Seyed Mehdi Iranmanesh, Min Xu, Min Xu, Ali R. Rezai, Annahita Amireskandari and Zachary Freyberg. Their work appears in journals such as Expert Systems with Applications, IEEE Access, IEEE Transactions on Biometrics Behavior and Identity Science, Frontiers in Molecular Biosciences and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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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