Joydip Dhar

2.3k citations
152 papers · 1.6k · h-index 22

Impact in

    • COVID-19 epidemiological studies
    • Fractional Differential Equations Solutions
  • Software top 5%
    • Software Reliability and Analysis Research

Papers in

Joydip Dhar

137 papers receiving 1.5k citations

Peers

Joydip Dhar
Comparison fields: 5 of 114
  • Modeling and Simulation 396
  • Software 120
  • Public Health, Environmental and Occupational Health 641
  • Statistical and Nonlinear Physics 196
  • Computer Networks and Communications 303
Replace Peican Zhu with:
Peican Zhu China
G. S. Mahapatra India
Robert E. Kooij Netherlands
Sher Afzal Khan Pakistan
Dawei Zhao China
Daijun Wei China
Xin Pei China
Liviu Panait United States
Brian Mac Namee Ireland
Dinesh Kumar Saini India
Joydip Dhar relative to Peican Zhu China Peican Zhu's profile →
Citations per field
00.5×5.5×
Peican Zhu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Joydip Dhar, 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 Joydip Dhar Line = papers co-authored together Joydip Dhar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202083
2 201479
3 201177
4 200953
5 202245
6 201845
7 201242
8 201939
9 202037
10 200936
11 201434
12 201633
13 201432
14 202032
15 201631
16 201828
17 201826
18 201323
19 200722
20 201922

About Joydip Dhar

Joydip Dhar is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Modeling and Simulation, Computer Networks and Communications and Information Systems, having authored 152 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (56 papers), Evolution and Genetic Dynamics (31 papers), COVID-19 epidemiological studies (20 papers), Software Reliability and Analysis Research (10 papers), Reliability and Maintenance Optimization (10 papers), Fractional Differential Equations Solutions (9 papers), Opinion Dynamics and Social Influence (9 papers) and Plant Parasitism and Resistance (8 papers). The work is most often cited by research in Modeling and Simulation (396 citations), Software (120 citations), Public Health, Environmental and Occupational Health (641 citations), Statistical and Nonlinear Physics (196 citations) and Computer Networks and Communications (303 citations). Joydip Dhar has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include O. P. Misra, Ritu Tiwari, Ajay Kumar, Vijay K. Gupta, Pramod Kumar Singh, Anuj Kumar Sharma, Anupam Shukla, W. Wilfred Godfrey, Sanjeev Sharma and R.K. Guha. Their work appears in journals such as Modeling Earth Systems and Environment, Applied Mathematics and Computation, Applied Mathematical Modelling, Wireless Personal Communications and Expert Systems with Applications.

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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