Mahbub Majumdar

758 total citations
10 papers, 471 citations indexed

About

Mahbub Majumdar is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Artificial Intelligence. According to data from OpenAlex, Mahbub Majumdar has authored 10 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Astronomy and Astrophysics, 5 papers in Nuclear and High Energy Physics and 3 papers in Artificial Intelligence. Recurrent topics in Mahbub Majumdar's work include Cosmology and Gravitation Theories (5 papers), Black Holes and Theoretical Physics (5 papers) and Stock Market Forecasting Methods (2 papers). Mahbub Majumdar is often cited by papers focused on Cosmology and Gravitation Theories (5 papers), Black Holes and Theoretical Physics (5 papers) and Stock Market Forecasting Methods (2 papers). Mahbub Majumdar collaborates with scholars based in Bangladesh, United Kingdom and United States. Mahbub Majumdar's co-authors include Anne-Christine Davis, Detlef R. Nolte, Govindan Rajesh, C. P. Burgess, Renjie Zhang, Fernando Quevedo, Md. Abdul Matin, A. Roy, Ashraf Ullah and Md. Golam Rabiul Alam and has published in prestigious journals such as Physics Letters B, Journal of High Energy Physics and International Journal of Computational Science and Engineering.

In The Last Decade

Mahbub Majumdar

10 papers receiving 459 citations

Peers

Mahbub Majumdar
Comparison fields: 5 of 29
  • Astronomy and Astrophysics 409
  • Nuclear and High Energy Physics 391
  • Statistical and Nonlinear Physics 33
  • Information Systems 24
  • Atomic and Molecular Physics, and Optics 19
Replace М. Беннаи with:
М. Беннаи Morocco
Jiajun Xu China
Alessandro Georgoudis Sweden
Nishant Agarwal United States
A. V. Bednyakov Russia
Nikitas Stamatopoulos United States
Tadeusz Wibig Poland
J. D. Romney United States
Bao-Chun Li China
Boudewijn F. Roukema Poland
М. Беннаи Morocco View profile →
Citations per field, relative to Mahbub Majumdar
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Citations per year, relative to Mahbub Majumdar
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Countries citing papers authored by Mahbub Majumdar

Since Specialization
Citations

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

Fields of papers citing papers by Mahbub Majumdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahbub Majumdar

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 1
2 1
3 19
4 3
5 6
6 15
7
A Tutorial on links between cosmic string theory and superstring theory
5
8 28
9 98
10 295

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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2026