Pritha Das

2.2k citations
122 papers · 1.5k · h-index 22

Impact in

Papers in

Pritha Das

112 papers receiving 1.4k citations

Peers

Pritha Das
Comparison fields: 5 of 142
  • Modeling and Simulation 318
  • Statistics, Probability and Uncertainty 266
  • Statistical and Nonlinear Physics 226
  • Civil and Structural Engineering 349
  • Public Health, Environmental and Occupational Health 320
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Ricardo H. C. Takahashi Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Pritha Das

Since Specialization
Citations

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

Fields of papers citing papers by Pritha Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pritha Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pritha Das Line = papers co-authored together Pritha Das links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000115
2 2000105
3 202162
4 200660
5 200243
6 198743
7 200039
8 201739
9 202138
10 202038
11 202034
12 201832
13 200231
14 202130
15 200230
16 202329
17 201929
18 199728
19 201927
20 199426

About Pritha Das

Pritha Das is a scholar working on Public Health, Environmental and Occupational Health, Mechanical Engineering, Modeling and Simulation, Civil and Structural Engineering and Statistical and Nonlinear Physics, having authored 122 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (34 papers), Structural Integrity and Reliability Analysis (23 papers), Probabilistic and Robust Engineering Design (18 papers), Evolution and Genetic Dynamics (17 papers), Fatigue and fracture mechanics (15 papers), Mathematical Biology Tumor Growth (14 papers), Chaos control and synchronization (13 papers) and Structural Health Monitoring Techniques (12 papers). The work is most often cited by research in Modeling and Simulation (318 citations), Statistics, Probability and Uncertainty (266 citations), Statistical and Nonlinear Physics (226 citations), Civil and Structural Engineering (349 citations) and Public Health, Environmental and Occupational Health (320 citations). Pritha Das has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Yuehong Zheng, Parthasakha Das, Sekhar Chandra Dutta, D Faulkner, Sayan Mukherjee, Dibakar Ghosh, Ranjit Kumar Upadhyay, Fathalla A. Rihan, Amitava Kundu and Nigel Barltrop. Their work appears in journals such as Nonlinear Dynamics, Chaos Solitons & Fractals, Ocean Engineering, International Shipbuilding Progress and Marine Structures.

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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