Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A stochastic SIRS epidemic model with infectious force under intervention strategies
Countries citing papers authored by Malay Banerjee
Since
Specialization
Citations
This map shows the geographic impact of Malay Banerjee'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 Malay Banerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malay Banerjee more than expected).
This network shows the impact of papers produced by Malay Banerjee. 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 Malay Banerjee. The network helps show where Malay Banerjee may publish in the future.
Co-authorship network of co-authors of Malay Banerjee
This figure shows the co-authorship network connecting the top 25 collaborators of Malay Banerjee.
A scholar is included among the top collaborators of Malay Banerjee 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 Malay Banerjee. Malay Banerjee is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Banerjee, Malay, Tomasz Lipniacki, Alberto d’Onofrio, & Vitaly Volpert. (2022). Epidemic model with strain-dependent transmission rate. Communications in Nonlinear Science and Numerical Simulation. 114. 106641–106641.6 indexed citations
14.
Banerjee, Malay, et al.. (2017). Bacteriological profile and antimicrobial susceptibility pattern of clinical samples at a tertiary care centre. Indian Journal of Microbiology Research. 4(1). 31–35.1 indexed citations
15.
An, , et al.. (2013). Surgical site Infection among postoperative patients of tertiary care centre in Central India - A prospective study. Asian journal of biomedical and pharmaceutical sciences. 3(17). 0.10 indexed citations
16.
Abbas, Syed & Malay Banerjee. (2010). Stochastically perturbed allelopathic phytoplankton model. SHILAP Revista de lepidopterología.4 indexed citations
Banerjee, Malay, et al.. (2002). Occurrence, identification and preliminary characterization of gynoecism in bitter gourd (Momordica charantia)*. The Indian Journal of Agricultural Sciences. 72(6). 348–349.13 indexed citations
19.
Singh, Ajay, et al.. (2001). Introduction and characterization of male sterile and parthenocarpic lines of Tomato (Lycopersicon esculentum Mill.). Vegetable Science. 28(1). 30–33.2 indexed citations
20.
Banerjee, Malay, et al.. (1990). Transfer of tolerance of tomato leaf curl virus from Lycopersicon pimpinellifolium to L. esculentum.. 55(2). 92–94.2 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.