M. A. Ganaie

38 papers and 1.8k indexed citations i.

About

M. A. Ganaie is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, M. A. Ganaie has authored 38 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 7 papers in Neurology. Recurrent topics in M. A. Ganaie’s work include Face and Expression Recognition (26 papers), Machine Learning and ELM (18 papers) and Neural Networks and Applications (8 papers). M. A. Ganaie is often cited by papers focused on Face and Expression Recognition (26 papers), Machine Learning and ELM (18 papers) and Neural Networks and Applications (8 papers). M. A. Ganaie collaborates with scholars based in India, Singapore and Australia. M. A. Ganaie's co-authors include M. Tanveer, Ponnuthurai Nagaratnam Suganthan, A. K. Malik, Minghui Hu, Reshma Rastogi, Iman Beheshti, Yuan‐Hai Shao, Chin‐Teng Lin, Imran Razzak and Ruobin Gao and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Co-authorship network of co-authors of M. A. Ganaie i

Fields of papers citing papers by M. A. Ganaie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. A. Ganaie. 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 M. A. Ganaie. The network helps show where M. A. Ganaie may publish in the future.

Countries citing papers authored by M. A. Ganaie

Since Specialization
Citations

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