Jamal Uddin

775 citations
22 papers · 515 · h-index 12

Impact in

Papers in

Jamal Uddin

21 papers receiving 495 citations

Peers

Jamal Uddin
Comparison fields: 5 of 99
  • Software 46
  • Signal Processing 71
  • Health Information Management 20
  • Cardiology and Cardiovascular Medicine 90
  • Information Systems 85
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Nicola Paoletti United Kingdom
Abdelwadood Mesleh Jordan
Cheng-Fa Tsai Taiwan
Guoxin Su Australia
Roheet Bhatnagar India
Majdi Khalid Saudi Arabia
Mohammed Amine Chikh Algeria
Omar Hisham Alsadoon Iraq
Qiang Zhu China
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Citations per year

Countries citing papers authored by Jamal Uddin

Since Specialization
Citations

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

Fields of papers citing papers by Jamal Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jamal Uddin, 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 Jamal Uddin Line = papers co-authored together Jamal Uddin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009112
2 202387
3 201669
4 201931
5 202430
6 202228
7 202328
8 202227
9 202422
10 202215
11 202314
12 202313
13 201710
14 20199
15 20254
16
RFID Reader Architectures and Applications
20094
17 20253
18 20213
19 20193
20 20232

About Jamal Uddin

Jamal Uddin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Information Systems and Ecology, having authored 22 papers that have together received 515 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (6 papers), Advanced Steganography and Watermarking Techniques (5 papers), Digital Media Forensic Detection (5 papers), Machine Learning in Bioinformatics (3 papers), Physiological and biochemical adaptations (3 papers), Rough Sets and Fuzzy Logic (3 papers), vaccines and immunoinformatics approaches (3 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Software (46 citations), Signal Processing (71 citations), Health Information Management (20 citations), Cardiology and Cardiovascular Medicine (90 citations) and Information Systems (85 citations). Jamal Uddin has collaborated with scholars based in Pakistan, Saudi Arabia and Malaysia. Frequent co-authors include Quan Zou, Mamun Bin Ibne Reaz, Ali Raza, Muhammad Ibn Ibrahimy, Shahid Akbar, Muhammad A. Hasan, Rozaida Ghazali, Mustafa Mat Deris, Ashfaq Ahmad and Abdullah Almuhaimeed. Their work appears in journals such as Scientific Reports, Journal of Chemical Information and Modeling, IEEE Access, Chemometrics and Intelligent Laboratory Systems and PLoS ONE.

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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