Sameep Mehta

About

Sameep Mehta is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sameep Mehta has authored 38 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 11 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sameep Mehta’s work include Complex Network Analysis Techniques (7 papers), Multimodal Machine Learning Applications (4 papers) and Adversarial Robustness in Machine Learning (4 papers). Sameep Mehta is often cited by papers focused on Complex Network Analysis Techniques (7 papers), Multimodal Machine Learning Applications (4 papers) and Adversarial Robustness in Machine Learning (4 papers). Sameep Mehta collaborates with scholars based in India, United States and United Kingdom. Sameep Mehta's co-authors include Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilović, Kush R. Varshney, Michael Hind, Stephanie Houde, Rachel Bellamy, John T. Richards, Samuel C. Hoffman, Kalapriya Kannan and Diptikalyan Saha and has published in prestigious journals such as Expert Systems with Applications, IBM Journal of Research and Development and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Sameep Mehta i

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Fields of papers citing papers by Sameep Mehta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sameep Mehta

Since Specialization

Citations

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