Budhaditya Hazra
- Civil and Structural Engineering top 1%
- Mechanical Engineering top 5%
- Mechanics of Materials top 5%
- Control and Systems Engineering top 5%
- Signal Processing top 5%
- Co-authors
- Vikram PakrashiSriram NarasimhanAyan SadhuBasuraj BhowmikTapas TripuraA. J. RoffelPaul CahillManish Kumar Goyal
- Topics
- Structural Health Monitoring Techniques (42 papers)Probabilistic and Robust Engineering Design (18 papers)Soil and Unsaturated Flow (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Computational PhysicsComputer Methods in Applied Mechanics and Engineering
In The Last Decade
Budhaditya Hazra
82 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 94
- Civil and Structural Engineering 1.2k
- Mechanical Engineering 373
- Mechanics of Materials 280
- Control and Systems Engineering 274
- Signal Processing 169
Countries citing papers authored by Budhaditya Hazra
This map shows the geographic impact of Budhaditya Hazra'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 Budhaditya Hazra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Budhaditya Hazra more than expected).
Fields of papers citing papers by Budhaditya Hazra
This network shows the impact of papers produced by Budhaditya Hazra. 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 Budhaditya Hazra. The network helps show where Budhaditya Hazra may publish in the future.
Co-authorship network of co-authors of Budhaditya Hazra
This figure shows the co-authorship network connecting the top 25 collaborators of Budhaditya Hazra. A scholar is included among the top collaborators of Budhaditya Hazra 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 Budhaditya Hazra. Budhaditya Hazra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 18 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 19 | |
| 11 | 48 | |
| 12 | 6 | |
| 13 | 70 | |
| 14 | 58 | |
| 15 | 9 | |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 16 | |
| 19 | 1 | |
| 20 | 7 |
About Budhaditya Hazra
Budhaditya Hazra is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Environmental Engineering, having authored 87 papers that have together received 1.7k indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (42 papers), Probabilistic and Robust Engineering Design (18 papers) and Soil and Unsaturated Flow (16 papers). The work is most often cited by research in Civil and Structural Engineering (1.2k citations), Signal Processing (169 citations) and Statistics, Probability and Uncertainty (93 citations). Budhaditya Hazra has collaborated with scholars based in India, Ireland and Canada. Frequent co-authors include Vikram Pakrashi, Sriram Narasimhan, Ayan Sadhu, Basuraj Bhowmik, Tapas Tripura, A. J. Roffel, Paul Cahill, Manish Kumar Goyal, Qinhua Wang and Ankit Garg. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics 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.