Abdul Rauf Anwar

757 citations
27 papers · 503 indexed · h-index 13
    • Functional Brain Connectivity Studies 15
    • Neural dynamics and brain function 12
    • EEG and Brain-Computer Interfaces 12
  • Neurology top 10%
    • Neurological disorders and treatments 5
    • Parkinson's Disease Mechanisms and Treatments 3
    • Transcranial Magnetic Stimulation Studies 2
    • Neuroscience and Neural Engineering 3
    • Photoreceptor and optogenetics research 2
    • Neurological disorders and treatments 5
    • Parkinson's Disease Mechanisms and Treatments 3
    • Transcranial Magnetic Stimulation Studies 2

Abdul Rauf Anwar

26 papers receiving 500 citations

Peers

Abdul Rauf Anwar
Comparison fields: 5 of 71
  • Cognitive Neuroscience 299
  • Neurology 165
  • Cellular and Molecular Neuroscience 130
  • Neurology 38
  • Psychiatry and Mental health 69
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Valeria Elisa Contarino Italy
Antonella Paccone Italy
Nina Karalija Sweden
Akira Hashizume Japan
Francesco Famà Italy
Chiara Mastropasqua Italy
Annaelle Devergnas United States
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Duanyu Ni China
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Citations per field
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Citations per year

Countries citing papers authored by Abdul Rauf Anwar

Since Specialization
Citations

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

Fields of papers citing papers by Abdul Rauf Anwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20231
3 20232
4 20236
5 20227
6 20228
7 20228
8 20221
9 202015
10 202021
11 201922
12 201723
13 201731
14 201610
15 201517
16 201528
17 201436
18 201340
19 201328
20 201245

About Abdul Rauf Anwar

Abdul Rauf Anwar is a scholar working on Cognitive Neuroscience, Neurology and Neurology, having authored 27 papers that have together received 503 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (15 papers), Neural dynamics and brain function (12 papers), EEG and Brain-Computer Interfaces (12 papers), Neurological disorders and treatments (5 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Neuroscience and Neural Engineering (3 papers), Photoreceptor and optogenetics research (2 papers) and Transcranial Magnetic Stimulation Studies (2 papers). The work is most often cited by research in Cognitive Neuroscience (299 citations), Neurology (165 citations) and Cellular and Molecular Neuroscience (130 citations). Abdul Rauf Anwar has collaborated with scholars based in Germany, Pakistan and United States. Frequent co-authors include Muthuraman Muthuraman, Günther Deuschl, Jan Raethjen, Sergiu Groppa, Michael Siniatchkin, Nabin Koirala, Rodger J. Elble, Ulrich Stephani, Lars Michels and Friederike Moeller. Their work appears in journals such as PLoS ONE, Scientific Reports, Frontiers in Aging Neuroscience, Brain Communications and NeuroImage.

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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