Md. Sabbir Ejaz

528 citations
14 papers · 292 · h-index 6

Impact in

Papers in

Md. Sabbir Ejaz

13 papers receiving 269 citations

Peers

Md. Sabbir Ejaz
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 190
  • Health Information Management 32
  • Signal Processing 48
  • Radiology, Nuclear Medicine and Imaging 60
  • Human-Computer Interaction 15
Replace Md Sah Hj Salam with:
Md Sah Hj Salam Malaysia
Varun Sapra India
Özkan Kılıç Türkiye
Taufik Fuadi Abidin Indonesia
Adeel M. Syed Pakistan
Mohammad Amzad Hossain Bangladesh
Junaid Tariq Pakistan
Venubabu Rachapudi India
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Md. Sabbir Ejaz relative to Md Sah Hj Salam Malaysia Md Sah Hj Salam's profile →
Citations per field
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Md Sah Hj Salam · 1×
Citations per year

Countries citing papers authored by Md. Sabbir Ejaz

Since Specialization
Citations

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

Fields of papers citing papers by Md. Sabbir Ejaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md. Sabbir Ejaz. 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 Md. Sabbir Ejaz. The network helps show where Md. Sabbir Ejaz may publish in the future.

Co-authors

The 11 scholars most cited alongside Md. Sabbir Ejaz, 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 Md. Sabbir Ejaz Line = papers co-authored together Md. Sabbir Ejaz links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2019147
2 201950
3 202340
4 201715
5 202015
6 20226
7 20235
8 20234
9 20233
10 20232
11 20232
12 20172
13 20221
14 20240

About Md. Sabbir Ejaz

Md. Sabbir Ejaz is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Information Systems, Artificial Intelligence and Health Information Management, having authored 14 papers that have together received 292 indexed citations. Recurring topics across this work include Face and Expression Recognition (4 papers), Face recognition and analysis (3 papers), Biometric Identification and Security (3 papers), Spam and Phishing Detection (2 papers), Artificial Intelligence in Healthcare (2 papers), Imbalanced Data Classification Techniques (2 papers), Video Surveillance and Tracking Methods (2 papers) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (190 citations), Health Information Management (32 citations), Signal Processing (48 citations), Radiology, Nuclear Medicine and Imaging (60 citations) and Human-Computer Interaction (15 citations). Md. Sabbir Ejaz has collaborated with scholars based in Bangladesh, United States and Australia. Frequent co-authors include Md. Rabiul Islam, Firoz Mahmud, Abdul Matin, Tanvir Ahmed, Imam Hossain, Mohammad Kamrul Hasan, Md. Ali Hossain, Mrinal Kanti Baowaly, Tanvir Zaman Khan and Md. Abul Ala Walid. Their work appears in journals such as Bulletin of Electrical Engineering and Informatics, International Journal of Information Technology, International Journal of Advanced Technology and Engineering Exploration, Journal of Engineering Research and Reports and Asian Journal of Research in Computer Science.

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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