Subrata Chakraborty

142 papers receiving 3.2k citations

Hit Papers

Support vector machine in structural reliability analysis...2023202620242025202350100150200250

Peers

Subrata Chakraborty
Comparison fields: 5 of 140
  • Civil and Structural Engineering 2.2k
  • Statistics, Probability and Uncertainty 1.3k
  • Mechanics of Materials 486
  • Mechanical Engineering 386
  • Computational Theory and Mathematics 330
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Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Subrata Chakraborty

Since Specialization
Citations

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

Fields of papers citing papers by Subrata Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subrata Chakraborty

This figure shows the co-authorship network connecting the top 25 collaborators of Subrata Chakraborty. A scholar is included among the top collaborators of Subrata Chakraborty 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 Subrata Chakraborty. Subrata Chakraborty 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
1 2
2 0
3 5
4 3
5
Support vector machine in structural reliability analysis: A reviewbreakdown →
255
6 10
7 13
8 7
9 9
10 3
11 11
12 3
13 19
14 2
15
Classifying SuperDARN Backscatter using Machine Learning Algorithms
1
16 9
17
SENSITIVITY BASED HEALTH MONITORING OF STRUCTURES WITH STATIC RESPONSE
5
18
Imaging subsurface geology with seismic migration on a computing cluster
2
19
Stochastic finite element method for sensitivity analysis of structures
1
20
Seismic transmission tomography a configurative approach
1

About Subrata Chakraborty

Subrata Chakraborty is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Building and Construction, having authored 152 papers that have together received 3.3k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (72 papers), Structural Health Monitoring Techniques (50 papers) and Seismic Performance and Analysis (50 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.3k citations), Civil and Structural Engineering (2.2k citations) and Safety, Risk, Reliability and Quality (260 citations). Subrata Chakraborty has collaborated with scholars based in India, British Virgin Islands and United States. Frequent co-authors include Atin Roy, Sudib Kumar Mishra, Bijan Kumar Roy, Behrooz Keshtegar, Shyamal Ghosh, Sourav Gur, Abhijit Chaudhuri, Somdatta Goswami, Sumit Chakraborty and Shun‐Peng Zhu. Their work appears in journals such as FEBS Letters, Construction and Building Materials and Computer Methods in Applied Mechanics and Engineering.

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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