Mustafa Sameer

25 papers receiving 673 citations

Mustafa Sameer's Hit Papers

Water quality classification using machine learning algorithms 2022 · 246 citations
2460+1+2Years since publication50100150200

Peers

Mustafa Sameer
Comparison fields: 5 of 88
  • Cognitive Neuroscience 256
  • Water Science and Technology 173
  • Signal Processing 140
  • Environmental Engineering 151
  • Health Information Management 45
Replace Jianzhuo Yan with:
Jianzhuo Yan China
Hongxia Xu China
Gülay Tezel Türkiye
D. François Belgium
Arslan Shaukat Pakistan
Megat Syahirul Amin Megat Ali Malaysia
S. Thomas George India
Shahab Abdulla Australia
Rozita Jailani Malaysia
David Ahmedt‐Aristizabal Australia
Mustafa Sameer relative to Jianzhuo Yan China Jianzhuo Yan's profile →
Citations per field
00.5×2.6×
Jianzhuo Yan · 1×
Citations per year

Countries citing papers authored by Mustafa Sameer

Since Specialization
Citations

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

Fields of papers citing papers by Mustafa Sameer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Mustafa Sameer, 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 Mustafa Sameer Line = papers co-authored together Mustafa Sameer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Water quality classification using machine learning algorithms
Hit paper breakdown →
2022246
2 202171
3 202251
4 202047
5 201936
6 202231
7 202027
8 201926
9 202125
10 202124
11 202023
12 202122
13 202122
14 202121
15 202120
16 20223
17 20233
18 20242
19 20212
20 20232

About Mustafa Sameer

Mustafa Sameer is a scholar working on Signal Processing, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Artificial Intelligence, having authored 26 papers that have together received 710 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Blind Source Separation Techniques (11 papers), Currency Recognition and Detection (4 papers), Anomaly Detection Techniques and Applications (3 papers), ECG Monitoring and Analysis (3 papers), Retinal Imaging and Analysis (2 papers), Vehicle License Plate Recognition (2 papers) and Non-Invasive Vital Sign Monitoring (2 papers). The work is most often cited by research in Cognitive Neuroscience (256 citations), Water Science and Technology (173 citations), Signal Processing (140 citations), Environmental Engineering (151 citations) and Health Information Management (45 citations). Mustafa Sameer has collaborated with scholars based in India, United Arab Emirates and United Kingdom. Frequent co-authors include Bharat Gupta, Nida Nasir, Feras Barneih, A. I. Al-Shamma’a, Abdallah Shanableh, Neda Afreen, Chinmay Chakraborty, Akash Kumar Gupta, Muneeb Ahmed and Sanchita Ghosh. Their work appears in journals such as Wireless Personal Communications, Journal of Water Process Engineering, Multimedia Tools and Applications, Circuits Systems and Signal Processing and Journal of Mobile Multimedia.

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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