Md. Nasim

8.9k citations
7 papers · 16 indexed · h-index 3

Impact in

    • Quantum Chromodynamics and Particle Interactions
    • Particle physics theoretical and experimental studies
    • High-Energy Particle Collisions Research
    • Magnetic and Electromagnetic Effects

Papers in

Journals
Nuclear Physics A (2 papers)Cryobiology (1 paper)Journal of Physics Conference Series (1 paper)2022 6th International Conference on Computing Methodologies and Communication (ICCMC) (1 paper)Physical Review C (1 paper)

In The Last Decade

Md. Nasim

6 papers receiving 16 citations

Peers

Md. Nasim
Comparison fields: 5 of 8
  • Nuclear and High Energy Physics 13
  • Physiology 1
  • Organizational Behavior and Human Resource Management 1
  • Mechanics of Materials 1
  • Public Health, Environmental and Occupational Health 1
Replace E. Gersabeck with:
E. Gersabeck Germany
J. R. Vlimant United States
A. Vollhardt United Kingdom
Hanna Zbroszczyk Poland
D. García-Gámez United Kingdom
J. D. Mellenthin Germany
J. L. Drachenberg United States
R. Akutsu United Kingdom
J. Zhong China
M. Kordell United States
Md. Nasim relative to E. Gersabeck Germany E. Gersabeck's profile →
Citations per field
00.5×1.5×
E. Gersabeck · 1×
Citations per year

Countries citing papers authored by Md. Nasim

Since Specialization
Citations

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

Fields of papers citing papers by Md. Nasim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Md. Nasim, 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 Md. Nasim Line = papers co-authored together Md. Nasim links everyone, so they are left out of the graph.

All Works

About Md. Nasim

Md. Nasim is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Food Science and Plant Science, having authored 7 papers that have together received 16 indexed citations. Recurring topics across this work include Quantum Chromodynamics and Particle Interactions (5 papers), High-Energy Particle Collisions Research (5 papers), Particle physics theoretical and experimental studies (4 papers), Postharvest Quality and Shelf Life Management (1 paper), COVID-19 diagnosis using AI (1 paper), Food Drying and Modeling (1 paper), Markov Chains and Monte Carlo Methods (1 paper) and Growth and nutrition in plants (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (13 citations), Physiology (1 citation), Organizational Behavior and Human Resource Management (1 citation), Mechanics of Materials (1 citation) and Public Health, Environmental and Occupational Health (1 citation). Md. Nasim has collaborated with scholars based in India, Bangladesh and United States. Frequent co-authors include Abdus Sattar, Md Zohurul Islam and Md Mozammel Hoque. Their work appears in journals such as Nuclear Physics A, Cryobiology, Journal of Physics Conference Series, 2022 6th International Conference on Computing Methodologies and Communication (ICCMC) and Physical Review C.

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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