Muhammad Tariq Sadiq

3.2k citations
67 papers · 2.3k indexed · h-index 28
Topics
EEG and Brain-Computer Interfaces (28 papers)Blind Source Separation Techniques (13 papers)ECG Monitoring and Analysis (8 papers)

In The Last Decade

Muhammad Tariq Sadiq

63 papers receiving 2.2k citations

Peers

Muhammad Tariq Sadiq
Comparison fields: 5 of 124
  • Cognitive Neuroscience 1.2k
  • Biomedical Engineering 462
  • Artificial Intelligence 445
  • Signal Processing 358
  • Cardiology and Cardiovascular Medicine 333
Replace Peng Wen with:
Peng Wen Australia
Jie Yang China
Gaoxiang Ouyang China
Yuxuan Yang China
John Q. Gan United Kingdom
Sheng‐Fu Liang Taiwan
Weidong Zhou China
Wanzeng Kong China
Katharina Eggensperger Germany
Cosimo Ieracitano Italy
Muhammad Tariq Sadiq relative to Peng Wen Australia Peng Wen's profile →
Citations per field
00.5×1.6×
Peng Wen · 1×
Citations per year

Countries citing papers authored by Muhammad Tariq Sadiq

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Tariq Sadiq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Tariq Sadiq. 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 Muhammad Tariq Sadiq. The network helps show where Muhammad Tariq Sadiq may publish in the future.

Co-authorship network of co-authors of Muhammad Tariq Sadiq

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Tariq Sadiq. A scholar is included among the top collaborators of Muhammad Tariq Sadiq based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Muhammad Tariq Sadiq. Muhammad Tariq Sadiq is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 0
3 0
4 0
5 2
6 3
7 4
8 24
9 4
10 56
11 21
12 3
13 27
14 48
15 3
16 94
17 124
18 1
19 153
20 14

About Muhammad Tariq Sadiq

Muhammad Tariq Sadiq is a scholar working on Cognitive Neuroscience, Signal Processing and Human-Computer Interaction, having authored 67 papers that have together received 2.3k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (28 papers), Blind Source Separation Techniques (13 papers) and ECG Monitoring and Analysis (8 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Signal Processing (358 citations) and Human-Computer Interaction (168 citations). Muhammad Tariq Sadiq has collaborated with scholars based in China, Pakistan and United Kingdom. Frequent co-authors include Xiaojun Yu, Ateeq Ur Rehman, Zhaohui Yuan, Muhammad Zulkifal Aziz, Hesam Akbari, Siuly Siuly, Gaoxi Xiao, Zeming Fan, Bagh Ali and Yufeng Nie. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

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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