Dhiraj Kumar Das

540 total citations
19 papers, 420 citations indexed

About

Dhiraj Kumar Das is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Dhiraj Kumar Das has authored 19 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Public Health, Environmental and Occupational Health, 16 papers in Modeling and Simulation and 12 papers in Genetics. Recurrent topics in Dhiraj Kumar Das's work include Mathematical and Theoretical Epidemiology and Ecology Models (16 papers), Evolution and Genetic Dynamics (12 papers) and COVID-19 epidemiological studies (10 papers). Dhiraj Kumar Das is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (16 papers), Evolution and Genetic Dynamics (12 papers) and COVID-19 epidemiological studies (10 papers). Dhiraj Kumar Das collaborates with scholars based in India, Spain and Philippines. Dhiraj Kumar Das's co-authors include T. K. Kar, Subhas Khajanchi, Soovoojeet Jana, Anupam Khatua, Ravi P. Agarwal, Malay Banerjee, Juan J. Nieto and S. Ghorai and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Physica A Statistical Mechanics and its Applications and Chaos Solitons & Fractals.

In The Last Decade

Dhiraj Kumar Das

16 papers receiving 400 citations

Peers

Dhiraj Kumar Das

PHEOH

GENET

EPIDE

Youping Yang China

Shewafera Wondimagegnhu Teklu Ethiopia

Adesoye Idowu Abioye Nigeria

Mohammad A. Safi Jordan

Rajanish Kumar India

Ran Zhang China

Jaouad Danane Morocco

Ramsès Djidjou‐Demasse France

Chandra Nath Podder Bangladesh

Hasan S. Panigoro Indonesia

Youping Yang China

Dhiraj Kumar Das

164 ×0.5

228 ×0.8

PHEOH

113 ×0.8

GENET

43 ×0.6

51 ×1.6

EPIDE

Citations per year, relative to Dhiraj Kumar Das Dhiraj Kumar Das (= 1×) peers Youping Yang

Countries citing papers authored by Dhiraj Kumar Das

Since Specialization

Citations

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

Fields of papers citing papers by Dhiraj Kumar Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dhiraj Kumar Das

This figure shows the co-authorship network connecting the top 25 collaborators of Dhiraj Kumar Das. A scholar is included among the top collaborators of Dhiraj Kumar 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 Dhiraj Kumar Das. Dhiraj Kumar Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Das, Dhiraj Kumar, et al.. (2024). Spatially heterogeneous eco-epidemic model: Stabilizing role of non-local disease transmission. Communications in Nonlinear Science and Numerical Simulation. 138. 108238–108238. 2 indexed citations

Jana, Soovoojeet, et al.. (2024). Complex dynamics of a fractional-order epidemic model with saturated media effect. Nonlinear Dynamics. 112(20). 18611–18637. 10 indexed citations

Das, Dhiraj Kumar, et al.. (2024). Analysis of a chronological age-structured epidemic model with a pair of optimal treatment controls. Physica Scripta. 99(12). 125240–125240.

Das, Dhiraj Kumar, et al.. (2024). A rare case of retained metallic foreign body in liver: case report and review of literature. Annals of Medicine and Surgery. 86(5). 3159–3164. 2 indexed citations

Das, Dhiraj Kumar, et al.. (2023). Threshold dynamics of an age-structured vaccinated epidemic model with both direct and indirect routes of infections. Nonlinear Analysis Real World Applications. 76. 103993–103993. 6 indexed citations

Das, Dhiraj Kumar, S. Ghorai, & Malay Banerjee. (2023). Spatio-temporal dynamics of an SIS model with nonlinear incidence and nonlocal disease transmission. Nonlinear Dynamics. 111(16). 15591–15612. 5 indexed citations

Das, Dhiraj Kumar, et al.. (2023). Qualitative analysis of TB transmission dynamics considering both the age since latency and relapse. Mathematics and Computers in Simulation. 225. 939–967. 1 indexed citations

Kar, T. K., et al.. (2023). Complex Dynamics and Fractional-Order Optimal Control of an Epidemic Model with Saturated Treatment and Incidence. International Journal of Bifurcation and Chaos. 33(16). 11 indexed citations

Jana, Soovoojeet, et al.. (2022). Global dynamics of a fractional-order HFMD model incorporating optimal treatment and stochastic stability. Chaos Solitons & Fractals. 161. 112291–112291. 42 indexed citations

10.

Das, Dhiraj Kumar, Anupam Khatua, Soovoojeet Jana, & T. K. Kar. (2021). Modelling the risk of COVID-19 based on major clinical factors: A fuzzy rule approach. 663–667.

11.

Das, Dhiraj Kumar, Anupam Khatua, T. K. Kar, & Soovoojeet Jana. (2021). The effectiveness of contact tracing in mitigating COVID-19 outbreak: A model-based analysis in the context of India. Applied Mathematics and Computation. 404. 126207–126207. 22 indexed citations

12.

Das, Dhiraj Kumar, et al.. (2021). Dynamical Behaviour of Infected Predator–Prey Eco-epidemics with Harvesting Effort. International Journal of Applied and Computational Mathematics. 7(3). 5 indexed citations

13.

Khatua, Anupam, Dhiraj Kumar Das, & T. K. Kar. (2021). Optimal control strategy for adherence to different treatment regimen in various stages of tuberculosis infection. The European Physical Journal Plus. 136(8). 11 indexed citations

14.

Das, Dhiraj Kumar & T. K. Kar. (2021). Global dynamics of a tuberculosis model with sensitivity of the smear microscopy. Chaos Solitons & Fractals. 146. 110879–110879. 23 indexed citations

15.

Das, Dhiraj Kumar & T. K. Kar. (2020). Dynamical analysis of an age-structured tuberculosis mathematical model with LTBI detectivity. Journal of Mathematical Analysis and Applications. 492(1). 124407–124407. 14 indexed citations

16.

Das, Dhiraj Kumar, Subhas Khajanchi, & T. K. Kar. (2019). Influence of multiple re-infections in tuberculosis transmission dynamics: A Mathematical Approach. 1–5. 14 indexed citations

17.

Das, Dhiraj Kumar, Subhas Khajanchi, & T. K. Kar. (2019). The impact of the media awareness and optimal strategy on the prevalence of tuberculosis. Applied Mathematics and Computation. 366. 124732–124732. 87 indexed citations

18.

Das, Dhiraj Kumar, Subhas Khajanchi, & T. K. Kar. (2019). Transmission dynamics of tuberculosis with multiple re-infections. Chaos Solitons & Fractals. 130. 109450–109450. 72 indexed citations

19.

Khajanchi, Subhas, Dhiraj Kumar Das, & T. K. Kar. (2018). Dynamics of tuberculosis transmission with exogenous reinfections and endogenous reactivation. Physica A Statistical Mechanics and its Applications. 497. 52–71. 93 indexed citations

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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