Muhammad Munir

84 total papers · 893 total citations
37 papers, 660 citations indexed

About

Muhammad Munir is a scholar working on Political Science and International Relations, Management Science and Operations Research and Control and Systems Engineering. According to data from OpenAlex, Muhammad Munir has authored 37 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Political Science and International Relations, 12 papers in Management Science and Operations Research and 8 papers in Control and Systems Engineering. Recurrent topics in Muhammad Munir's work include Multi-Criteria Decision Making (11 papers), Optimization and Mathematical Programming (8 papers) and Islamic Studies and History (7 papers). Muhammad Munir is often cited by papers focused on Multi-Criteria Decision Making (11 papers), Optimization and Mathematical Programming (8 papers) and Islamic Studies and History (7 papers). Muhammad Munir collaborates with scholars based in Pakistan, China and India. Muhammad Munir's co-authors include Tahir Mahmood, Azmat Hussain, Kifayat Ullah, Muhammad İrfan Ali, Shouzhen Zeng, Harish Garg, Naeem Jan, Yu‐Ming Chu, Humaira Kalsoom and Shahzaib Ashraf and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energies and Artificial Intelligence Review.

In The Last Decade

Muhammad Munir

29 papers receiving 638 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 Munir 556 248 170 138 87 37 660
Jie Tang 660 1.2× 251 1.0× 225 1.3× 132 1.0× 277 3.2× 50 793
Silvia Angilella 448 0.8× 110 0.4× 84 0.5× 140 1.0× 167 1.9× 18 661
Huimin Zhang 560 1.0× 196 0.8× 171 1.0× 168 1.2× 176 2.0× 28 656
Bonifacio Llamazares 504 0.9× 146 0.6× 133 0.8× 136 1.0× 106 1.2× 39 628
Xiaoyue Liu 443 0.8× 182 0.7× 136 0.8× 99 0.7× 184 2.1× 41 750
Xiaohan Yu 581 1.0× 289 1.2× 130 0.8× 161 1.2× 202 2.3× 36 766
Kiran Zahid 548 1.0× 222 0.9× 158 0.9× 108 0.8× 101 1.2× 14 709
Kifayat Ullah 640 1.2× 269 1.1× 148 0.9× 161 1.2× 114 1.3× 40 774
Yanping Jiang 614 1.1× 189 0.8× 209 1.2× 109 0.8× 239 2.7× 32 792
Feng Wang 611 1.1× 260 1.0× 120 0.7× 176 1.3× 184 2.1× 21 686

Countries citing papers authored by Muhammad Munir

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Munir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Munir

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