Muhammad Saqlain

93 papers receiving 888 citations

Peers

Muhammad Saqlain
Comparison fields: 5 of 100
  • Management Science and Operations Research 424
  • Computational Theory and Mathematics 204
  • Statistics and Probability 56
  • Electronic, Optical and Magnetic Materials 80
  • Control and Systems Engineering 91
Replace Luis E. Zárate with:
Luis E. Zárate Brazil
Frauke Liers Germany
Nivetha Martin India
Ray‐Bing Chen Taiwan
Yuan Jiang China
Xin Qiu United States
Naveed Yaqoob Pakistan
Hongming Mo China
Milan Mihajlović Serbia
Muhammad Saqlain relative to Luis E. Zárate Brazil Luis E. Zárate's profile →
Citations per field
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Citations per year

Countries citing papers authored by Muhammad Saqlain

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Saqlain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202083
2 202350
3 202046
4 202142
5 202138
6 202335
7 202235
8 202334
9 202133
10 201930
11 202326
12 202322
13 202417
14 202317
15 202017
16 202212
17 202312
18 202412
19 202012
20 201812

About Muhammad Saqlain

Muhammad Saqlain is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering, Aerospace Engineering, Artificial Intelligence and Computational Theory and Mathematics, having authored 100 papers that have together received 923 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (29 papers), Fuzzy and Soft Set Theory (24 papers), Advanced Algebra and Logic (8 papers), Metamaterials and Metasurfaces Applications (8 papers), Advanced Photonic Communication Systems (7 papers), Nanofluid Flow and Heat Transfer (6 papers), Optimization and Mathematical Programming (6 papers) and Advanced Antenna and Metasurface Technologies (5 papers). The work is most often cited by research in Management Science and Operations Research (424 citations), Computational Theory and Mathematics (204 citations), Statistics and Probability (56 citations), Electronic, Optical and Magnetic Materials (80 citations) and Control and Systems Engineering (91 citations). Muhammad Saqlain has collaborated with scholars based in Pakistan, China and Thailand. Frequent co-authors include Muhammad Saeed, Muhammad Riaz, Miin‐Shen Yang, Muhammad Abuzar Baqir, Xiao Long Xin, Rana Muhammad Zulqarnain, Florentín Smarandache, Mohamad Abou Houran, Ammar Armghan and Xianbin Yu. Their work appears in journals such as IEEE Access, International Journal of Thermal Sciences, Journal of the Optical Society of America B, Journal of Communications and Information Networks and Measurement.

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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