Madhu Advani

12 papers and 490 indexed citations i.

About

Madhu Advani is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Statistics and Probability. According to data from OpenAlex, Madhu Advani has authored 12 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Cognitive Neuroscience and 4 papers in Statistics and Probability. Recurrent topics in Madhu Advani’s work include Neural Networks and Applications (5 papers), Stochastic Gradient Optimization Techniques (4 papers) and Neural dynamics and brain function (4 papers). Madhu Advani is often cited by papers focused on Neural Networks and Applications (5 papers), Stochastic Gradient Optimization Techniques (4 papers) and Neural dynamics and brain function (4 papers). Madhu Advani collaborates with scholars based in United States, United Kingdom and Israel. Madhu Advani's co-authors include Andrew Saxe, David Cox, Yamini Bansal, Brendan Tracey, Haim Sompolinsky, Joel Dapello, Artemy Kolchinsky, Surya Ganguli, Guy Bunin and Pankaj Mehta and has published in prestigious journals such as Nature Neuroscience, PLoS ONE and Molecular Physics.

In The Last Decade

Co-authorship network of co-authors of Madhu Advani i

Fields of papers citing papers by Madhu Advani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Madhu Advani

Since Specialization
Citations

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