Anindya Maiti

16 papers and 133 indexed citations i.

About

Anindya Maiti is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Anindya Maiti has authored 16 papers receiving a total of 133 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Information Systems and 4 papers in Artificial Intelligence. Recurrent topics in Anindya Maiti’s work include Advanced Malware Detection Techniques (4 papers), User Authentication and Security Systems (4 papers) and Context-Aware Activity Recognition Systems (4 papers). Anindya Maiti is often cited by papers focused on Advanced Malware Detection Techniques (4 papers), User Authentication and Security Systems (4 papers) and Context-Aware Activity Recognition Systems (4 papers). Anindya Maiti collaborates with scholars based in United States, Iran and China. Anindya Maiti's co-authors include Murtuza Jadliwala, Mohammad Hossein Manshaei, Jwu‐Sheng Hu, Igor Bilogrevic, Vinod Namboodiri, Ananda Maiti, Heena Rathore, Greg P. Griffin, Abu Asaduzzaman and Jong Taek Lee and has published in prestigious journals such as IEEE Access, IEEE Transactions on Parallel and Distributed Systems and IEEE Transactions on Mobile Computing.

In The Last Decade

Co-authorship network of co-authors of Anindya Maiti i

Fields of papers citing papers by Anindya Maiti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anindya Maiti

Since Specialization
Citations

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