Mustafa Sameer

21 papers receiving 580 citations

Mustafa Sameer's Hit Papers

Water quality classification using machine learning algorithms 2022 · 216 citations
2160+1+2Years since publication50100150200

Peers

Mustafa Sameer
Comparison fields: 5 of 81
  • Cognitive Neuroscience 229
  • Signal Processing 121
  • Water Science and Technology 154
  • Environmental Engineering 136
  • Health Information Management 40
Replace Jianzhuo Yan with:
Jianzhuo Yan China
D. François Belgium
Shahab Abdulla Australia
Gülay Tezel Türkiye
Hongxia Xu China
Arslan Shaukat Pakistan
S. Thomas George India
Yongchuan Yu China
David Ahmedt‐Aristizabal Australia
Changhua Lu China
Mustafa Sameer relative to Jianzhuo Yan China Jianzhuo Yan's profile →
Citations per field
00.5×1.5×2.3×
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 17 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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Water quality classification using machine learning algorithms
Hit paper breakdown →
2022216
2 202162
3 202244
4 202043
5 201929
6 202226
7 202025
8 201924
9 202122
10 202121
11 202120
12 202020
13 202119
14 202119
15 202117
16 20223
17 20242
18 20232
19 20232
20 20231

About Mustafa Sameer

Mustafa Sameer is a scholar working on Signal Processing, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Computer Networks and Communications, having authored 24 papers that have together received 620 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), ECG Monitoring and Analysis (3 papers), Neuroscience and Neural Engineering (2 papers), Vehicle License Plate Recognition (2 papers), Advanced Neural Network Applications (2 papers) and Advanced Malware Detection Techniques (2 papers). The work is most often cited by research in Cognitive Neuroscience (229 citations), Signal Processing (121 citations), Water Science and Technology (154 citations), Environmental Engineering (136 citations) and Health Information Management (40 citations). Mustafa Sameer has collaborated with scholars based in India, United Arab Emirates and United Kingdom. Frequent co-authors include Bharat Gupta, Nida Nasir, A. I. Al-Shamma’a, Abdallah Shanableh, Feras Barneih, Neda Afreen, Akash Kumar Gupta, Chinmay Chakraborty, Muneeb Ahmed and Sanchita Ghosh. Their work appears in journals such as Wireless Personal Communications, Journal of Water Process Engineering, Multimedia Tools and Applications, Journal of Mobile Multimedia and Circuits Systems and Signal Processing.

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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