Arjun Mukherjee

42 papers and 1.8k indexed citations i.

About

Arjun Mukherjee is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Arjun Mukherjee has authored 42 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 13 papers in Information Systems and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Arjun Mukherjee’s work include Sentiment Analysis and Opinion Mining (21 papers), Topic Modeling (17 papers) and Advanced Text Analysis Techniques (13 papers). Arjun Mukherjee is often cited by papers focused on Sentiment Analysis and Opinion Mining (21 papers), Topic Modeling (17 papers) and Advanced Text Analysis Techniques (13 papers). Arjun Mukherjee collaborates with scholars based in United States, India and Hong Kong. Arjun Mukherjee's co-authors include Bing Liu, Natalie Glance, Vivek V. Venkataraman, Malú Castellanos, Riddhiman Ghosh, Meichun Hsu, Junhui Wang, Abhinav Kumar, Geli Fei and Jidong Shao and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Proceedings of the VLDB Endowment and Soft Computing.

In The Last Decade

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

Fields of papers citing papers by Arjun Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arjun Mukherjee

Since Specialization
Citations

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