Muhammad Asghar

904 citations
39 papers · 682 indexed · h-index 12
Topics
Water resources management and optimization (6 papers)Advanced Numerical Analysis Techniques (6 papers)Silicon and Solar Cell Technologies (5 papers)

In The Last Decade

Muhammad Asghar

33 papers receiving 652 citations

Peers

Muhammad Asghar
Comparison fields: 5 of 97
  • Neurology 409
  • Surgery 200
  • Electrical and Electronic Engineering 93
  • Materials Chemistry 47
  • Atomic and Molecular Physics, and Optics 38
Replace Hyun Koo Lee with:
Hyun Koo Lee South Korea
Ruijun Ji China
Yoshiaki Kurata Japan
Tae Hong Kim South Korea
Takeshi Sugiyama Japan
C. Breen United States
David S. Smith United States
Takuya Miura Japan
Zhenze Wang China
Nathan K. Jensen United States
Muhammad Asghar relative to Hyun Koo Lee South Korea Hyun Koo Lee's profile →
Citations per field
00.5×10×15.7×
Hyun Koo Lee · 1×
Citations per year

Countries citing papers authored by Muhammad Asghar

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Asghar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Asghar

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 14
2 1
3 0
4 0
5 8
6 7
7 2
8 2
9 15
10 4
11 4
12 0
13 0
14
Conceptual modeling and hydrological characteristics of Coleambally irrigation area
0
15 19
16
Impact of drainage investment on poverty alleviation in Pakistan.
1
17 165
18
Potential of skimming wells for extracting relatively-fresh groundwater from unconfined aquifers underlain by saline groundwater
1
19 1
20 1

About Muhammad Asghar

Muhammad Asghar is a scholar working on Ocean Engineering, Computational Mechanics and Modeling and Simulation, having authored 39 papers that have together received 682 indexed citations. Recurring topics across this work include Water resources management and optimization (6 papers), Advanced Numerical Analysis Techniques (6 papers) and Silicon and Solar Cell Technologies (5 papers). The work is most often cited by research in Neurology (409 citations), Surgery (200 citations) and Geochemistry and Petrology (14 citations). Muhammad Asghar has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Vedamurthy Adhiyaman, B.K. Bhowmick, Andrew Bates, M. Zafar Iqbal, Michael Bruen, Ghulam Mustafa, Adnan Ali, Mohsin Kazmi, Qudsia Kanwal and Aneela Anwar. Their work appears in journals such as Journal of Applied Physics, Solar Energy Materials and Solar Cells and Agricultural Water Management.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026