Aamir Anis

9 papers and 459 indexed citations i.

About

Aamir Anis is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Aamir Anis has authored 9 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Statistical and Nonlinear Physics and 2 papers in Molecular Biology. Recurrent topics in Aamir Anis’s work include Advanced Graph Neural Networks (6 papers), Complex Network Analysis Techniques (4 papers) and Multimodal Machine Learning Applications (1 paper). Aamir Anis is often cited by papers focused on Advanced Graph Neural Networks (6 papers), Complex Network Analysis Techniques (4 papers) and Multimodal Machine Learning Applications (1 paper). Aamir Anis collaborates with scholars based in United States, Pakistan and Russia. Aamir Anis's co-authors include Antonio Ortega, Akshay Gadde, A. I. Lvovsky, Aly El Gamal, A. Salman Avestimehr, Debargha Mukherjee, Shunyao Li, Yue Chen, Sarah Parker and Salman Avestimehr and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and New Journal of Physics.

In The Last Decade

Co-authorship network of co-authors of Aamir Anis i

Fields of papers citing papers by Aamir Anis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aamir Anis

Since Specialization
Citations

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