Muhammad Kasim

33 papers receiving 693 citations

Peers

Muhammad Kasim
Comparison fields: 5 of 116
  • Infectious Diseases 254
  • Nuclear and High Energy Physics 114
  • Modeling and Simulation 36
  • Atomic and Molecular Physics, and Optics 144
  • Geophysics 53
Replace Kai Zhou with:
Kai Zhou China
Giovanni Pareschi Italy
Yanfang Su United States
David Morrison United States
Horst Behncke Germany
Tatsuaki Wada Japan
Timothy C. Wallstrom United States
Jianrong Shi China
Shao‐Yi Cheng Taiwan
N. Okabe Japan
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Citations per field
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Citations per year

Countries citing papers authored by Muhammad Kasim

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Kasim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012296
2 202170
3
Building high accuracy emulators for scientific simulations with deep neural architecture search
202162
4 202041
5 202237
6 201726
7 201819
8 201614
9 201514
10 202013
11 201713
12 202212
13 202011
14 201710
15 20239
16 20239
17 20199
18 20139
19 20188
20 20227

About Muhammad Kasim

Muhammad Kasim is a scholar working on Nuclear and High Energy Physics, Mechanics of Materials, Atomic and Molecular Physics, and Optics, Radiation and Computational Mechanics, having authored 35 papers that have together received 730 indexed citations. Recurring topics across this work include Laser-Plasma Interactions and Diagnostics (11 papers), Laser-induced spectroscopy and plasma (11 papers), Laser-Matter Interactions and Applications (7 papers), High-pressure geophysics and materials (4 papers), Advanced Adaptive Filtering Techniques (3 papers), COVID-19 epidemiological studies (2 papers), Computational Physics and Python Applications (2 papers) and X-ray Diffraction in Crystallography (2 papers). The work is most often cited by research in Infectious Diseases (254 citations), Nuclear and High Energy Physics (114 citations), Modeling and Simulation (36 citations), Atomic and Molecular Physics, and Optics (144 citations) and Geophysics (53 citations). Muhammad Kasim has collaborated with scholars based in United Kingdom, Indonesia and United States. Frequent co-authors include S. M. Vinko, Annelies Wilder‐Smith, Wim H. van Brakel, Susi Lehtola, James Sadler, J. S. Wark, L. Ceurvorst, R. M. G. M. Trines, P. A. Norreys and H. Susanto. Their work appears in journals such as Physical review. E, Scientific Reports, Communications Physics, Physical Review Letters and Physical Review Special Topics - Accelerators and Beams.

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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