F. Akbar

804 citations
33 papers · 569 · h-index 14

Impact in

    • Neutrino Physics Research
    • Particle physics theoretical and experimental studies
    • Particle Detector Development and Performance
    • Nuclear physics research studies
    • Quantum Chromodynamics and Particle Interactions
    • Dark Matter and Cosmic Phenomena
    • Radiation Detection and Scintillator Technologies

Papers in

F. Akbar

33 papers receiving 551 citations

Peers

F. Akbar
Comparison fields: 5 of 8
  • Nuclear and High Energy Physics 564
  • Radiation 5
  • Artificial Intelligence 13
  • Statistics and Probability 4
  • Applied Mathematics 4
Replace G. Cáceres with:
G. Cáceres United States
D. A. Andrade United States
Júlia Tena Vidal United States
C. Nguyen United States
Marvin Vladimir Ascencio Sosa United States
D. Last United States
Jessica Prisciandaro Switzerland
R. Galindo United States
Carlos Miguel Vergel Infante Germany
J. Smith United States
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Citations per field
00.5×1.7×
G. Cáceres · 1×
Citations per year

Countries citing papers authored by F. Akbar

Since Specialization
Citations

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

Fields of papers citing papers by F. Akbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201868
2 201951
3 201949
4 202045
5 201938
6 201827
7 202024
8 202022
9 202021
10 201920
11 201920
12 202416
13 202415
14 202214
15 202314
16 202213
17 201512
18 201612
19 201711
20 202111

About F. Akbar

F. Akbar is a scholar working on Nuclear and High Energy Physics, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 33 papers that have together received 569 indexed citations. Recurring topics across this work include Neutrino Physics Research (26 papers), Particle Detector Development and Performance (6 papers), Particle physics theoretical and experimental studies (1 paper) and Quantum Chromodynamics and Particle Interactions (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (564 citations), Radiation (5 citations), Artificial Intelligence (13 citations), Statistics and Probability (4 citations) and Applied Mathematics (4 citations). F. Akbar has collaborated with scholars based in United States, Mexico and Brazil. Frequent co-authors include Mohammad Sajjad Athar, S. Singh and S.S. Chauhan. Their work appears in journals such as Physical review. D, Physical Review Letters, Journal of Instrumentation, Journal of Physics G Nuclear and Particle Physics and The European Physical Journal A.

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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