Vijay Kumar Dharma

483 citations
15 papers · 320 indexed · h-index 8
Topics
Vaccine Coverage and Hesitancy (14 papers)COVID-19 epidemiological studies (5 papers)Influenza Virus Research Studies (3 papers)

In The Last Decade

Vijay Kumar Dharma

14 papers receiving 308 citations

Peers

Vijay Kumar Dharma
Comparison fields: 5 of 60
  • Health 202
  • Infectious Diseases 90
  • Epidemiology 85
  • Modeling and Simulation 83
  • Pediatrics, Perinatology and Child Health 53
Replace Mubarak Taighoon Shah with:
Mubarak Taighoon Shah Pakistan
Kaiyi Han China
Danya Arif Siddiqi Pakistan
Belachew Etana Ethiopia
Deepa T. Rajulu United States
Owen Nkoka Taiwan
Francis Dien Mwansa United States
Emma Castro United States
Emma Clarke‐Deelder United States
Dagmawi Chilot Ethiopia
Vijay Kumar Dharma relative to Mubarak Taighoon Shah Pakistan Mubarak Taighoon Shah's profile →
Citations per field
00.5×10×
Mubarak Taighoon Shah · 1×
Citations per year

Countries citing papers authored by Vijay Kumar Dharma

Since Specialization
Citations

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

Fields of papers citing papers by Vijay Kumar Dharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay Kumar Dharma

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 1
3 4
4 4
5 4
6 7
7 15
8 6
9 16
10 167
11 10
12 1
13 28
14 18
15 39

About Vijay Kumar Dharma

Vijay Kumar Dharma is a scholar working on Health, Modeling and Simulation and Business and International Management, having authored 15 papers that have together received 320 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (14 papers), COVID-19 epidemiological studies (5 papers) and Influenza Virus Research Studies (3 papers). The work is most often cited by research in Health (202 citations), Modeling and Simulation (83 citations) and Obstetrics and Gynecology (46 citations). Vijay Kumar Dharma has collaborated with scholars based in Pakistan, United States and Switzerland. Frequent co-authors include Subhash Chandir, Aamir Khan, Danya Arif Siddiqi, Mubarak Taighoon Shah, Hamidreza Setayesh, Anokhi Ali Khan, Naveed Z. Janjua, Mohammad Imran Khan, Nalini Sathiakumar and Bushra Mahmood. Their work appears in journals such as PLoS ONE, Vaccine and BMJ Open.

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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