S. Mukherjee

38 papers and 992 indexed citations i.

About

S. Mukherjee is a scholar working on Materials Chemistry, Artificial Intelligence and Information Systems. According to data from OpenAlex, S. Mukherjee has authored 38 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 8 papers in Artificial Intelligence and 8 papers in Information Systems. Recurrent topics in S. Mukherjee’s work include Brain Tumor Detection and Classification (3 papers), Advanced Steganography and Watermarking Techniques (3 papers) and AI in cancer detection (3 papers). S. Mukherjee is often cited by papers focused on Brain Tumor Detection and Classification (3 papers), Advanced Steganography and Watermarking Techniques (3 papers) and AI in cancer detection (3 papers). S. Mukherjee collaborates with scholars based in India, France and United States. S. Mukherjee's co-authors include Neelam Sharma, A. Venkateswara Rao, Satish A. Mahadik, Mahendra S. Kavale, Santosh K. Gupta, P. S. Ghosh, R.M. Kadam, R.N. Singh, Sanjay S. Latthe and A. Arya and has published in prestigious journals such as The Journal of Physical Chemistry C, Small and Physical Chemistry Chemical Physics.

In The Last Decade

Co-authorship network of co-authors of S. Mukherjee i

Fields of papers citing papers by S. Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by S. Mukherjee

Since Specialization
Citations

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

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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