Kandan Ramakrishnan

13 papers and 388 indexed citations i.

About

Kandan Ramakrishnan is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Kandan Ramakrishnan has authored 13 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Cognitive Neuroscience and 4 papers in Artificial Intelligence. Recurrent topics in Kandan Ramakrishnan’s work include Neural dynamics and brain function (4 papers), Human Pose and Action Recognition (4 papers) and Visual perception and processing mechanisms (3 papers). Kandan Ramakrishnan is often cited by papers focused on Neural dynamics and brain function (4 papers), Human Pose and Action Recognition (4 papers) and Visual perception and processing mechanisms (3 papers). Kandan Ramakrishnan collaborates with scholars based in United States, The Netherlands and Germany. Kandan Ramakrishnan's co-authors include Aude Oliva, Quanfu Fan, Alex Andonian, Mathew Monfort, Dan Gutfreund, Lisa M. Brown, Carl Vondrick, Sarah Adel Bargal, Bolei Zhou and Tom Yan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Cortex and Journal of Vision.

In The Last Decade

Co-authorship network of co-authors of Kandan Ramakrishnan i

Fields of papers citing papers by Kandan Ramakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kandan Ramakrishnan

Since Specialization
Citations

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