Anindya Halder

27 papers and 298 indexed citations i.

About

Anindya Halder is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Anindya Halder has authored 27 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Molecular Biology. Recurrent topics in Anindya Halder’s work include Gene expression and cancer classification (6 papers), Brain Tumor Detection and Classification (5 papers) and Medical Image Segmentation Techniques (4 papers). Anindya Halder is often cited by papers focused on Gene expression and cancer classification (6 papers), Brain Tumor Detection and Classification (5 papers) and Medical Image Segmentation Techniques (4 papers). Anindya Halder collaborates with scholars based in India. Anindya Halder's co-authors include Ashish Ghosh, Susmita Ghosh, Moumita Roy, Utpal Biswas, Rajat Kumar Pal, Goutam Saha and Goutam Saha and has published in prestigious journals such as Scientific Reports, Information Sciences and Pattern Recognition.

In The Last Decade

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

Fields of papers citing papers by Anindya Halder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anindya Halder

Since Specialization
Citations

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