Muhammad Munsif

24 total papers · 470 total citations
15 papers, 274 citations indexed

About

Muhammad Munsif is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Muhammad Munsif has authored 15 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Human-Computer Interaction. Recurrent topics in Muhammad Munsif's work include Video Surveillance and Tracking Methods (3 papers), Virtual Reality Applications and Impacts (3 papers) and Human Pose and Action Recognition (3 papers). Muhammad Munsif is often cited by papers focused on Video Surveillance and Tracking Methods (3 papers), Virtual Reality Applications and Impacts (3 papers) and Human Pose and Action Recognition (3 papers). Muhammad Munsif collaborates with scholars based in Pakistan, South Korea and Norway. Muhammad Munsif's co-authors include Habib Khan, Noman Khan, Muhammad Sajjad, Khan Muhammad, Mi Young Lee, Mohib Ullah, Mustaqeem Mustaqeem, Mustaqeem Khan, Ijaz Ul Haq and Sung Wook Baik and has published in prestigious journals such as Sensors, IEEE Transactions on Industrial Informatics and Solid State Communications.

In The Last Decade

Muhammad Munsif

15 papers receiving 265 citations

Author Peers

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

Author Last Decade Papers Cites
Muhammad Munsif 87 52 51 42 36 15 274
Habib Khan 104 1.2× 48 0.9× 52 1.0× 31 0.7× 15 0.4× 15 310
Fabrizio Balducci 47 0.5× 43 0.8× 101 2.0× 7 0.2× 16 0.4× 19 294
Xiaohua Sun 123 1.4× 66 1.3× 35 0.7× 19 0.5× 19 0.5× 25 293
Ujwalla Gawande 95 1.1× 31 0.6× 116 2.3× 9 0.2× 14 0.4× 38 315
Sareer Ul Amin 114 1.3× 114 2.2× 18 0.4× 36 0.9× 25 0.7× 14 324
Michael Kassler 81 0.9× 35 0.7× 27 0.5× 24 0.6× 18 0.5× 40 296
Abhijit Suresh 16 0.2× 87 1.7× 58 1.1× 44 1.0× 31 0.9× 17 295
Padmashree Desai 91 1.0× 26 0.5× 36 0.7× 28 0.7× 10 0.3× 42 326
Karen Das 94 1.1× 32 0.6× 25 0.5× 34 0.8× 107 3.0× 22 258
Vinay Jain 40 0.5× 149 2.9× 8 0.2× 16 0.4× 31 0.9× 19 275

Countries citing papers authored by Muhammad Munsif

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Munsif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Munsif

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Munsif. A scholar is included among the top collaborators of Muhammad Munsif 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 Munsif. Muhammad Munsif 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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