Mustafa Munir

30 total papers · 435 total citations
9 papers, 139 citations indexed

About

Mustafa Munir is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Mustafa Munir has authored 9 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Electrical and Electronic Engineering and 1 paper in Computer Networks and Communications. Recurrent topics in Mustafa Munir's work include Advanced Neural Network Applications (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Advancements in Semiconductor Devices and Circuit Design (2 papers). Mustafa Munir is often cited by papers focused on Advanced Neural Network Applications (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Advancements in Semiconductor Devices and Circuit Design (2 papers). Mustafa Munir collaborates with scholars based in United States and South Korea. Mustafa Munir's co-authors include Md Mostafijur Rahman, Diana Marculescu, Radu Mărculescu, Md. Mostafijur Rahman, Ulaş Bağcı, Shahin Nazarian, Debesh Jha and Massoud Pedram and has published in prestigious journals such as IEEE Access and IEEE Transactions on Applied Superconductivity.

In The Last Decade

Mustafa Munir

9 papers receiving 135 citations

Hit Papers

EMCAD: Efficient Multi-Sc... 2024 2026 2024 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Mustafa Munir 71 34 25 16 13 9 139
Renkai Wu 71 1.0× 54 1.6× 25 1.0× 19 1.2× 10 0.8× 14 147
Zunaira Rauf 87 1.2× 68 2.0× 39 1.6× 24 1.5× 20 1.5× 8 200
Pei Yu 59 0.8× 30 0.9× 19 0.8× 11 0.7× 16 1.2× 13 111
Aadarsh Jha 90 1.3× 68 2.0× 25 1.0× 4 0.3× 17 1.3× 7 192
J. F. Chang 53 0.7× 81 2.4× 58 2.3× 21 1.3× 20 1.5× 7 202
Pengshuai Yin 79 1.1× 26 0.8× 92 3.7× 11 0.7× 21 1.6× 15 166
Peilun Shi 57 0.8× 72 2.1× 64 2.6× 6 0.4× 29 2.2× 8 227
Ruoxi Deng 135 1.9× 73 2.1× 21 0.8× 7 0.4× 21 1.6× 13 235
Jiří Borovec 75 1.1× 66 1.9× 29 1.2× 6 0.4× 9 0.7× 10 161
Sahadev Poudel 81 1.1× 100 2.9× 60 2.4× 17 1.1× 16 1.2× 10 229

Countries citing papers authored by Mustafa Munir

Since Specialization
Citations

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

Fields of papers citing papers by Mustafa Munir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mustafa Munir. 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 Munir. The network helps show where Mustafa Munir may publish in the future.

Co-authorship network of co-authors of Mustafa Munir

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

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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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