Samyak Jain

19 papers and 182 indexed citations i.

About

Samyak Jain is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Samyak Jain has authored 19 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Samyak Jain’s work include Adversarial Robustness in Machine Learning (3 papers), Advanced Neural Network Applications (3 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (2 papers). Samyak Jain is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Advanced Neural Network Applications (3 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (2 papers). Samyak Jain collaborates with scholars based in India, United States and Australia. Samyak Jain's co-authors include Subhash Shah, Vineet Gandhi, Shailendra Narayan Singh, Rakesh Garg, Ramanathan Subramanian, Moolchand Sharma, Tariq Sheikh, Vaibhav Kumar Singh, Rajni Jain and Sudeep Marwaha and has published in prestigious journals such as Wear, Computational Biology and Chemistry and Journal of Physics Conference Series.

In The Last Decade

Co-authorship network of co-authors of Samyak Jain i

Fields of papers citing papers by Samyak Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Samyak Jain

Since Specialization
Citations

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