Syed Muhammad Anwar

5.3k citations
119 papers · 3.5k indexed · h-index 31
Topics
EEG and Brain-Computer Interfaces (35 papers)Emotion and Mood Recognition (13 papers)Brain Tumor Detection and Classification (12 papers)
Journals
SHILAP Revista de lepidopterologíaRenewable and Sustainable Energy ReviewsPLoS ONE

In The Last Decade

Syed Muhammad Anwar

111 papers receiving 3.4k citations

Peers

Syed Muhammad Anwar
Comparison fields: 5 of 163
  • Cognitive Neuroscience 963
  • Computer Vision and Pattern Recognition 941
  • Artificial Intelligence 657
  • Experimental and Cognitive Psychology 603
  • Neurology 588
Replace Muhammad Majid with:
Muhammad Majid Pakistan
N. Arunkumar India
M. Shamim Kaiser Bangladesh
Naeem Ramzan United Kingdom
Mehmet Bayğın Türkiye
Musaed Alhussein Saudi Arabia
Prabal Datta Barua Australia
Mauridhi Hery Purnomo Indonesia
Türker Tuncer Türkiye
Şengül Doğan Türkiye
Syed Muhammad Anwar relative to Muhammad Majid Pakistan Muhammad Majid's profile →
Citations per field
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Muhammad Majid · 1×
Citations per year

Countries citing papers authored by Syed Muhammad Anwar

Since Specialization
Citations

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

Fields of papers citing papers by Syed Muhammad Anwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Syed Muhammad Anwar

This figure shows the co-authorship network connecting the top 25 collaborators of Syed Muhammad Anwar. A scholar is included among the top collaborators of Syed Muhammad Anwar 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 Syed Muhammad Anwar. Syed Muhammad Anwar 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 2
2 0
3 5
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11 0
12 15
13 29
14 24
15 26
16 6
17 51
18
A novel image retrieval based on rectangular spatial histograms of visual words
25
19 6
20 48

About Syed Muhammad Anwar

Syed Muhammad Anwar is a scholar working on Health Informatics, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 119 papers that have together received 3.5k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (35 papers), Emotion and Mood Recognition (13 papers) and Brain Tumor Detection and Classification (12 papers). The work is most often cited by research in Neurology (588 citations), Cognitive Neuroscience (963 citations) and Computer Vision and Pattern Recognition (941 citations). Syed Muhammad Anwar has collaborated with scholars based in Pakistan, United States and Saudi Arabia. Frequent co-authors include Muhammad Majid, Muhammad Majid, Muhammad Awais, Majdi Alnowami, Adnan Qayyum, Bilal Khan, Anam Mustaqeem, C. A. Mehmood, Sanay Muhammad Umar Saeed and Muhammad Bilal Khan. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews 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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