Muhammad Nabeel Anwar

30 total papers · 709 total citations
26 papers, 530 citations indexed

About

Muhammad Nabeel Anwar is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Neurology. According to data from OpenAlex, Muhammad Nabeel Anwar has authored 26 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 8 papers in Biomedical Engineering and 4 papers in Neurology. Recurrent topics in Muhammad Nabeel Anwar's work include EEG and Brain-Computer Interfaces (5 papers), Muscle activation and electromyography studies (5 papers) and Motor Control and Adaptation (4 papers). Muhammad Nabeel Anwar is often cited by papers focused on EEG and Brain-Computer Interfaces (5 papers), Muscle activation and electromyography studies (5 papers) and Motor Control and Adaptation (4 papers). Muhammad Nabeel Anwar collaborates with scholars based in Pakistan, Japan and Denmark. Muhammad Nabeel Anwar's co-authors include Muhammad Samran Navid, Imran Khan Niazi, Mads Jochumsen, Muhammad Bilal Khan Niazi, Munibah Qureshi, Suleman Mazhar, Young Sup Lee, Adeeb Shehzad, Noaman Ul‐Haq and Mushtaq Khan and has published in prestigious journals such as NeuroImage, Scientific Reports and Brain Research.

In The Last Decade

Muhammad Nabeel Anwar

23 papers receiving 516 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Muhammad Nabeel Anwar	186	161	76	60	55	26	530
In Young Kim	97 0.5×	192 1.2×	163 2.1×	41 0.7×	35 0.6×	30	601
Irada Isayeva	52 0.3×	199 1.2×	124 1.6×	60 1.0×	77 1.4×	20	558
Yingchao Zhang	77 0.4×	266 1.7×	151 2.0×	21 0.3×	47 0.9×	16	600
Hongji Sun	92 0.5×	169 1.0×	128 1.7×	55 0.9×	45 0.8×	28	498
Chuan Zhang	226 1.2×	88 0.5×	130 1.7×	126 2.1×	11 0.2×	53	615
Samina Hyder Haq	50 0.3×	89 0.6×	13 0.2×	97 1.6×	106 1.9×	20	534
Ayşe Özkan	38 0.2×	159 1.0×	70 0.9×	56 0.9×	66 1.2×	26	493
Shanshan Zhou	213 1.1×	40 0.2×	28 0.4×	56 0.9×	19 0.3×	52	584
Haizhou Huang	53 0.3×	315 2.0×	57 0.8×	31 0.5×	122 2.2×	22	493
Xin Wang	172 0.9×	151 0.9×	14 0.2×	25 0.4×	68 1.2×	17	501

Countries citing papers authored by Muhammad Nabeel Anwar

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Nabeel Anwar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Nabeel Anwar. A scholar is included among the top collaborators of Muhammad Nabeel 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 Muhammad Nabeel Anwar. Muhammad Nabeel Anwar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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