Joydip Dhar

2.3k total citations
152 papers, 1.6k citations indexed

About

Joydip Dhar is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Modeling and Simulation. According to data from OpenAlex, Joydip Dhar has authored 152 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Public Health, Environmental and Occupational Health, 31 papers in Genetics and 29 papers in Modeling and Simulation. Recurrent topics in Joydip Dhar's work include Mathematical and Theoretical Epidemiology and Ecology Models (56 papers), Evolution and Genetic Dynamics (31 papers) and COVID-19 epidemiological studies (20 papers). Joydip Dhar is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (56 papers), Evolution and Genetic Dynamics (31 papers) and COVID-19 epidemiological studies (20 papers). Joydip Dhar collaborates with scholars based in India, United States and Singapore. Joydip Dhar's co-authors include O. P. Misra, Ritu Tiwari, Ajay Kumar, Vijay K. Gupta, Pramod Kumar Singh, Anupam Shukla, Anuj Kumar Sharma, W. Wilfred Godfrey, Abhishek Jha and R.K. Guha and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Joydip Dhar

137 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joydip Dhar India 22 641 396 317 303 213 152 1.6k
G. S. Mahapatra India 25 465 0.7× 270 0.7× 217 0.7× 123 0.4× 203 1.0× 140 2.0k
Lu‐Xing Yang China 30 985 1.5× 342 0.9× 139 0.4× 1.0k 3.4× 174 0.8× 96 2.4k
Peican Zhu China 23 117 0.2× 114 0.3× 143 0.5× 163 0.5× 355 1.7× 115 1.5k
Robert E. Kooij Netherlands 23 434 0.7× 252 0.6× 184 0.6× 656 2.2× 96 0.5× 105 2.3k
Dawei Zhao China 25 184 0.3× 234 0.6× 77 0.2× 574 1.9× 455 2.1× 162 2.4k
Shudong Li China 23 103 0.2× 89 0.2× 106 0.3× 451 1.5× 430 2.0× 103 1.6k
V. S. Anil Kumar United States 18 248 0.4× 765 1.9× 82 0.3× 1.2k 3.9× 104 0.5× 39 2.8k
Daijun Wei China 15 159 0.2× 141 0.4× 116 0.4× 111 0.4× 131 0.6× 28 961
Qingyi Zhu China 22 639 1.0× 248 0.6× 89 0.3× 664 2.2× 282 1.3× 84 1.8k
Víctor M. Preciado United States 21 344 0.5× 436 1.1× 54 0.2× 452 1.5× 130 0.6× 87 1.8k

Countries citing papers authored by Joydip Dhar

Since Specialization
Citations

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

Fields of papers citing papers by Joydip Dhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joydip Dhar

This figure shows the co-authorship network connecting the top 25 collaborators of Joydip Dhar. A scholar is included among the top collaborators of Joydip Dhar 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 Joydip Dhar. Joydip Dhar 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
1.
2.
Dhar, Joydip, et al.. (2024). Optimum control model of Malicious news spread on Social networks having Hidden accounts. Results in Control and Optimization. 17. 100468–100468.
3.
Misra, O. P., et al.. (2023). Analysis of a temperature-dependent model for water-borne disease transmission dynamics. International Journal of Dynamics and Control. 11(5). 2112–2126. 1 indexed citations
4.
Godfrey, W. Wilfred, et al.. (2023). Exploring pretrained encoders for lung nodule segmentation task using LIDC-IDRI dataset. Multimedia Tools and Applications. 83(4). 9685–9708. 15 indexed citations
5.
Dhar, Joydip, et al.. (2023). Stability and optimal control of two products innovation diffusion system. Results in Control and Optimization. 14. 100344–100344. 1 indexed citations
6.
Dhar, Joydip, et al.. (2023). Plants and age-structured pest dynamics with natural enemy as control strategy: A fractional differential equations model. Results in Control and Optimization. 12. 100296–100296. 2 indexed citations
7.
Misra, O. P., et al.. (2023). Modeling the effect of vaccination in fractional-order epidemic model for infectious disease. International Journal of Dynamics and Control. 12(1). 303–317. 6 indexed citations
8.
Dhar, Joydip, et al.. (2023). Testing coverage‐based software reliability growth model considering uncertainty of operating environment. Systems Engineering. 26(4). 449–462. 12 indexed citations
9.
Srivastava, Abhay, et al.. (2021). Dynamics of a stage-structured SI model for food adulteration with media-induced response function. Journal of Engineering Mathematics. 127(1). 1–1. 12 indexed citations
10.
Dhar, Joydip, et al.. (2020). Rumor model on homogeneous social network incorporating delay in expert intervention and government action. Communications in Nonlinear Science and Numerical Simulation. 84. 105189–105189. 37 indexed citations
11.
Singh, Pramod Kumar, et al.. (2020). EMUCF: Enhanced multistage user-based collaborative filtering through non-linear similarity for recommendation systems. Expert Systems with Applications. 161. 113724–113724. 32 indexed citations
12.
Godfrey, W. Wilfred, et al.. (2019). Tumor Growth Modeling and Estimation of Changes with Respect to Cytotoxic Drugs. 1053–1058. 2 indexed citations
13.
Kumar, Ajay, et al.. (2018). Reliability analysis of open source software systems considering the effect of previously released version. International Journal of Computers and Applications. 41(1). 31–38. 8 indexed citations
14.
Dhar, Joydip, et al.. (2017). Dynamical response by the instant buyer and thinker buyer in an innovation diffusion marketing model with media coverage. Journal of Mathematical and Computational Science. 7(6). 1022–1045. 3 indexed citations
15.
Dhar, Joydip, et al.. (2015). Role of dissolved oxygen on the plankton dynamics in spatio-temporal domain. Modeling Earth Systems and Environment. 2(1). 13 indexed citations
16.
Dhar, Joydip, et al.. (2014). Mathematical modelling and estimation of seasonal variation of mosquito population: a real case study. Boletim da Sociedade Paranaense de Matemática. 33(2). 167–178. 1 indexed citations
17.
Dhar, Joydip, et al.. (2013). Hybrid approach for pest control with impulsive releasing of natural enemies and chemical pesticides: A plant–pest–natural enemy model. Nonlinear Analysis Hybrid Systems. 12. 79–92. 20 indexed citations
18.
Dhar, Joydip, et al.. (2012). Bifurcation and spatial pattern formation in spreading of disease with incubation period in a phytoplankton dynamics. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Dhar, Joydip & Anuj Kumar Sharma. (2009). The role of the incubation period in a disease model.. 9. 146–153. 6 indexed citations
20.
Dhar, Joydip, et al.. (2004). Modelling the depletion of forestry resource by wholly dependent industrialization in two adjoining habitat. Kobe University Repository Kernel (Kobe University). 21(1). 1–13. 4 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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