Saikat Mukherjee

9 papers and 104 indexed citations i.

About

Saikat Mukherjee is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Saikat Mukherjee has authored 9 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 4 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Saikat Mukherjee’s work include Web Data Mining and Analysis (3 papers), Cloud Computing and Resource Management (3 papers) and Advanced Database Systems and Queries (2 papers). Saikat Mukherjee is often cited by papers focused on Web Data Mining and Analysis (3 papers), Cloud Computing and Resource Management (3 papers) and Advanced Database Systems and Queries (2 papers). Saikat Mukherjee collaborates with scholars based in India, United States and Germany. Saikat Mukherjee's co-authors include I. V. Ramakrishnan, Amresh Kumar, Dorin Comaniciu, Martin Huber, Alexander Cavallaro, Sascha Seifert, Aditya Abha Singh, Jalal Mahmud, Raja Karmakar and Srinath Srinivasa and has published in prestigious journals such as IEEE Transactions on Cloud Computing, World Wide Web and ACM Transactions on the Web.

In The Last Decade

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

Fields of papers citing papers by Saikat Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Saikat Mukherjee

Since Specialization
Citations

This map shows the geographic impact of Saikat 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 Saikat Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saikat 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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2025