Israt Nisa

8 papers and 38 indexed citations i.

About

Israt Nisa is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Israt Nisa has authored 8 papers receiving a total of 38 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Israt Nisa’s work include Advanced Graph Neural Networks (4 papers), Graph Theory and Algorithms (3 papers) and Parallel Computing and Optimization Techniques (2 papers). Israt Nisa is often cited by papers focused on Advanced Graph Neural Networks (4 papers), Graph Theory and Algorithms (3 papers) and Parallel Computing and Optimization Techniques (2 papers). Israt Nisa collaborates with scholars based in United States. Israt Nisa's co-authors include Aravind Sukumaran-Rajam, P. Sadayappan, Jiajia Li, Richard Vuduc, Charles Siegel, Abhinav Vishnu, George Karypis, Katherine Yelick, Christos Faloutsos and Da Zheng and has published in prestigious journals such as arXiv (Cornell University), 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS) and 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

In The Last Decade

Co-authorship network of co-authors of Israt Nisa i

Fields of papers citing papers by Israt Nisa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Israt Nisa

Since Specialization
Citations

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