Dilip Krishnan

31 papers and 2.7k indexed citations i.

About

Dilip Krishnan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Dilip Krishnan has authored 31 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 5 papers in Computational Mechanics. Recurrent topics in Dilip Krishnan’s work include Advanced Image Processing Techniques (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). Dilip Krishnan is often cited by papers focused on Advanced Image Processing Techniques (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). Dilip Krishnan collaborates with scholars based in United States, Singapore and United Kingdom. Dilip Krishnan's co-authors include Rob Fergus, Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, William T. Freeman, Phillip Isola, Richard Szeliski, Aaron Sarna and Ce Liu and has published in prestigious journals such as Bioinformatics, Radiology and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Dilip Krishnan i

Fields of papers citing papers by Dilip Krishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dilip Krishnan

Since Specialization
Citations

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