Subhas Khajanchi

4.0k citations
75 papers · 3.0k indexed · h-index 32
Topics
Mathematical and Theoretical Epidemiology and Ecology Models (45 papers)Mathematical Biology Tumor Growth (27 papers)Evolution and Genetic Dynamics (22 papers)
Partner nations
IndiaSpainSaudi Arabia

In The Last Decade

Subhas Khajanchi

72 papers receiving 2.9k citations

Peers

Subhas Khajanchi
Comparison fields: 5 of 123
  • Modeling and Simulation 2.0k
  • Public Health, Environmental and Occupational Health 1.7k
  • Genetics 827
  • Infectious Diseases 506
  • Molecular Biology 348
Replace Khalid Hattaf with:
Khalid Hattaf Morocco
Andrei Korobeinikov Spain
Alberto d’Onofrio Italy
Pierre Magal France
Maia Martcheva United States
Shengqiang Liu China
T. K. Kar India
Noura Yousfi Morocco
Jinliang Wang China
Andrea Pugliese Italy
Subhas Khajanchi relative to Khalid Hattaf Morocco Khalid Hattaf's profile →
Citations per field
00.5×9.9×
Khalid Hattaf · 1×
Citations per year

Countries citing papers authored by Subhas Khajanchi

Since Specialization
Citations

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

Fields of papers citing papers by Subhas Khajanchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhas Khajanchi

This figure shows the co-authorship network connecting the top 25 collaborators of Subhas Khajanchi. A scholar is included among the top collaborators of Subhas Khajanchi 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 Subhas Khajanchi. Subhas Khajanchi 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
#WorkIndexed citations
1 0
2 0
3 4
4 3
5 1
6 4
7 4
8 8
9 5
10 29
11 15
12 124
13 98
14 28
15 76
16 15
17 46
18 94
19 31
20 76

About Subhas Khajanchi

Subhas Khajanchi is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 75 papers that have together received 3.0k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (45 papers), Mathematical Biology Tumor Growth (27 papers) and Evolution and Genetic Dynamics (22 papers). The work is most often cited by research in Modeling and Simulation (2.0k citations), Public Health, Environmental and Occupational Health (1.7k citations) and Genetics (827 citations). Subhas Khajanchi has collaborated with scholars based in India, Spain and Saudi Arabia. Frequent co-authors include Kankan Sarkar, Juan J. Nieto, Jayanta Mondal, T. K. Kar, Dhiraj Kumar Das, Piu Samui, Dibakar Ghosh, Pankaj Kumar Tiwari, Tapan Kumar Roy and A. K. Misra. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of the Franklin Institute.

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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