Nimisha Ghosh

606 citations
42 papers · 383 indexed · h-index 11
Topics
SARS-CoV-2 and COVID-19 Research (18 papers)Energy Efficient Wireless Sensor Networks (9 papers)vaccines and immunoinformatics approaches (8 papers)
Partner nations
IndiaPolandItaly

In The Last Decade

Nimisha Ghosh

40 papers receiving 369 citations

Peers

Nimisha Ghosh
Comparison fields: 5 of 84
  • Computer Networks and Communications 134
  • Infectious Diseases 131
  • Molecular Biology 103
  • Electrical and Electronic Engineering 100
  • Artificial Intelligence 38
Replace Bahareh Nikpour with:
Bahareh Nikpour Iran
Samar Agnihotri India
Zainab S. Attarbashi Malaysia
André Luís Dias Brazil
Oğuz Ata Türkiye
Beata J. Wysocki Australia
Yongguo Mei United States
Russell Higgs Ireland
Takayuki Ishizaki Japan
Nimisha Ghosh relative to Bahareh Nikpour Iran Bahareh Nikpour's profile →
Citations per field
00.5×5.2×
Bahareh Nikpour · 1×
Citations per year

Countries citing papers authored by Nimisha Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Nimisha Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nimisha Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Nimisha Ghosh. A scholar is included among the top collaborators of Nimisha Ghosh 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 Nimisha Ghosh. Nimisha Ghosh 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 1
2 1
3 8
4 1
5 4
6 46
7 2
8 9
9 3
10 10
11 1
12 5
13 8
14 6
15 12
16 5
17 12
18 31
19 20
20 5

About Nimisha Ghosh

Nimisha Ghosh is a scholar working on Infectious Diseases, Computer Networks and Communications and Molecular Biology, having authored 42 papers that have together received 383 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (18 papers), Energy Efficient Wireless Sensor Networks (9 papers) and vaccines and immunoinformatics approaches (8 papers). The work is most often cited by research in Infectious Diseases (131 citations), Computer Networks and Communications (134 citations) and Modeling and Simulation (13 citations). Nimisha Ghosh has collaborated with scholars based in India, Poland and Italy. Frequent co-authors include Indrajit Banerjee, Indrajit Saha, R. Simon Sherratt, Kaushik Mitra, Dariusz Plewczyński, Daniele Santoni, Amlan Chakrabarti, Prasant Mohapatra, Tuhina Samanta and Giovanni Felici. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences and IEEE Access.

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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