Anindya Pain

1.2k total citations
58 papers, 930 citations indexed

About

Anindya Pain is a scholar working on Civil and Structural Engineering, Safety, Risk, Reliability and Quality and Management, Monitoring, Policy and Law. According to data from OpenAlex, Anindya Pain has authored 58 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Civil and Structural Engineering, 22 papers in Safety, Risk, Reliability and Quality and 14 papers in Management, Monitoring, Policy and Law. Recurrent topics in Anindya Pain's work include Geotechnical Engineering and Underground Structures (36 papers), Geotechnical Engineering and Soil Stabilization (31 papers) and Geotechnical Engineering and Analysis (22 papers). Anindya Pain is often cited by papers focused on Geotechnical Engineering and Underground Structures (36 papers), Geotechnical Engineering and Soil Stabilization (31 papers) and Geotechnical Engineering and Analysis (22 papers). Anindya Pain collaborates with scholars based in India, Australia and China. Anindya Pain's co-authors include Deepankar Choudhury, S. K. Bhattacharyya, Debi Prasanna Kanungo, Shantanu Sarkar, Sanjay Nimbalkar, Qingsheng Chen, Nachiketa Rai, Yitao Zhou, Ashok Kumar Singh and S. Mohanty and has published in prestigious journals such as Scientific Reports, Waste Management and Engineering Fracture Mechanics.

In The Last Decade

Anindya Pain

52 papers receiving 915 citations

Peers

Anindya Pain
Comparison fields: 5 of 44
  • Civil and Structural Engineering 773
  • Safety, Risk, Reliability and Quality 456
  • Management, Monitoring, Policy and Law 225
  • Mechanics of Materials 144
  • Industrial and Manufacturing Engineering 52
Replace Ali Tolooiyan with:
Ali Tolooiyan Australia
Ebrahim Asghari-Kaljahi Iran
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Xiaohe Xia China
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Citations per field, relative to Anindya Pain
Anindya Pain · 1×
Citations per year, relative to Anindya Pain
Anindya Pain · 1×

Countries citing papers authored by Anindya Pain

Since Specialization
Citations

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

Fields of papers citing papers by Anindya Pain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anindya Pain

This figure shows the co-authorship network connecting the top 25 collaborators of Anindya Pain. A scholar is included among the top collaborators of Anindya Pain 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 Anindya Pain. Anindya Pain 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
# Work Indexed citations
1 0
2 0
3 2
4 3
5 0
6 2
7 6
8 8
9 3
10 2
11 6
12 1
13 8
14 43
15 5
16 5
17 15
18 78
19 60
20 62

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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