Rajib Chowdhury

4.9k citations
149 papers · 4.0k indexed · h-index 37
Topics
Probabilistic and Robust Engineering Design (54 papers)Advanced Multi-Objective Optimization Algorithms (22 papers)Graphene research and applications (22 papers)

In The Last Decade

Rajib Chowdhury

148 papers receiving 3.9k citations

Peers

Rajib Chowdhury
Comparison fields: 5 of 123
  • Materials Chemistry 1.5k
  • Civil and Structural Engineering 1.3k
  • Statistics, Probability and Uncertainty 1.2k
  • Mechanics of Materials 1.0k
  • Computational Theory and Mathematics 522
Replace T. Mukhopadhyay with:
T. Mukhopadhyay India
Zhufeng Yue China
Tom Lahmer Germany
Peng Hao China
S. Leigh Phoenix United States
Khader M. Hamdia Germany
Hu Wang China
Jean‐François Barthélémy France
Jian Tu China
Rajib Chowdhury relative to T. Mukhopadhyay India T. Mukhopadhyay's profile →
Citations per field
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T. Mukhopadhyay · 1×
Citations per year

Countries citing papers authored by Rajib Chowdhury

Since Specialization
Citations

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

Fields of papers citing papers by Rajib Chowdhury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajib Chowdhury

This figure shows the co-authorship network connecting the top 25 collaborators of Rajib Chowdhury. A scholar is included among the top collaborators of Rajib Chowdhury 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 Rajib Chowdhury. Rajib Chowdhury 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
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15 27
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Curved-layer fused deposition modelling
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18 54
19
Prediction of Critical Slip Surfaces
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PROGRESSIVE RELIABILITY OF A STRAIN- SOFTENING SLOPE
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About Rajib Chowdhury

Rajib Chowdhury is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Mechanics of Materials, having authored 149 papers that have together received 4.0k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (54 papers), Advanced Multi-Objective Optimization Algorithms (22 papers) and Graphene research and applications (22 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.2k citations), Civil and Structural Engineering (1.3k citations) and Mechanics of Materials (1.0k citations). Rajib Chowdhury has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Sondipon Adhikari, Souvik Chakraborty, Fabrizio Scarpa, B. N. Rao, Tanmoy Chatterjee, Anupam Chakrabarti, Abhinav Gupta, T. Mukhopadhyay, A. Meher Prasad and Jacob J. Mitchell. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics and Physical Review B.

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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