Prerana Mukherjee

32 papers and 280 indexed citations i.

About

Prerana Mukherjee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Prerana Mukherjee has authored 32 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 5 papers in Media Technology. Recurrent topics in Prerana Mukherjee’s work include Advanced Image and Video Retrieval Techniques (9 papers), Handwritten Text Recognition Techniques (7 papers) and Video Surveillance and Tracking Methods (6 papers). Prerana Mukherjee is often cited by papers focused on Advanced Image and Video Retrieval Techniques (9 papers), Handwritten Text Recognition Techniques (7 papers) and Video Surveillance and Tracking Methods (6 papers). Prerana Mukherjee collaborates with scholars based in India, Australia and United States. Prerana Mukherjee's co-authors include Brejesh Lall, Anupama Ray, Ritu Garg, P. Viswanath, Siddharth Krishna Kumar, Rama Krishna Gorthi, Abhishek Sharma, Santanu Chaudhury, Deepak Mishra and Hrishikesh Venkataraman and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Neurocomputing and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Prerana Mukherjee i

Fields of papers citing papers by Prerana Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Prerana Mukherjee

Since Specialization
Citations

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