Animesh Das
- Civil and Structural Engineering top 1%
- Mechanical Engineering
- Mechanics of Materials top 10%
- Building and Construction top 10%
- Ocean Engineering top 10%
- Co-authors
- Anjan DuttaSajal K. DebSunil SharmaAmit GoelAvijit MajiSumit BasuBiswajit PandeyPartha Chakroborty
- Topics
- Asphalt Pavement Performance Evaluation (41 papers)Infrastructure Maintenance and Monitoring (40 papers)Geotechnical Engineering and Underground Structures (9 papers)
- Cited by
- Civil and Structural EngineeringStatistics, Probability and UncertaintyBuilding and Construction
- Journals
- Construction and Building MaterialsEarthquake Engineering & Structural DynamicsJournal of Materials in Civil Engineering
- Partner nations
- IndiaUnited StatesFinland
In The Last Decade
Animesh Das
60 papers receiving 888 citations
Peers
Comparison fields: 5 of 57
- Civil and Structural Engineering 840
- Mechanical Engineering 138
- Mechanics of Materials 114
- Building and Construction 77
- Ocean Engineering 73
Countries citing papers authored by Animesh Das
This map shows the geographic impact of Animesh Das'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 Animesh Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Animesh Das more than expected).
Fields of papers citing papers by Animesh Das
This network shows the impact of papers produced by Animesh Das. 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 Animesh Das. The network helps show where Animesh Das may publish in the future.
Co-authorship network of co-authors of Animesh Das
This figure shows the co-authorship network connecting the top 25 collaborators of Animesh Das. A scholar is included among the top collaborators of Animesh Das 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 Animesh Das. Animesh Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 49 | |
| 12 | 21 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | Simple Model to Predict Structural Condition of Asphalt Concrete Pavements at the Network Level | 1 |
| 19 | 1 | |
| 20 | 12 |
About Animesh Das
Animesh Das is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Mechanics of Materials, having authored 65 papers that have together received 927 indexed citations. Recurring topics across this work include Asphalt Pavement Performance Evaluation (41 papers), Infrastructure Maintenance and Monitoring (40 papers) and Geotechnical Engineering and Underground Structures (9 papers). The work is most often cited by research in Civil and Structural Engineering (840 citations), Statistics, Probability and Uncertainty (43 citations) and Building and Construction (77 citations). Animesh Das has collaborated with scholars based in India, United States and Finland. Frequent co-authors include Anjan Dutta, Sajal K. Deb, Sunil Sharma, Amit Goel, Avijit Maji, Sumit Basu, Biswajit Pandey, Partha Chakroborty, Pradyumn Kumar Shukla and Rahul Misra. Their work appears in journals such as Construction and Building Materials, Earthquake Engineering & Structural Dynamics and Journal of Materials in Civil 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.