Sanyam Shukla

39 papers and 765 indexed citations i.

About

Sanyam Shukla is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Sanyam Shukla has authored 39 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Sanyam Shukla’s work include Machine Learning and ELM (25 papers), Imbalanced Data Classification Techniques (18 papers) and Face and Expression Recognition (18 papers). Sanyam Shukla is often cited by papers focused on Machine Learning and ELM (25 papers), Imbalanced Data Classification Techniques (18 papers) and Face and Expression Recognition (18 papers). Sanyam Shukla collaborates with scholars based in India. Sanyam Shukla's co-authors include Bhagat Singh Raghuwanshi, Rajesh Wadhvani, Manasi Gyanchandani, Ram Narayan Yadav, Nilay Khare, Saurabh Shrivastava and Lalit Kumar and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Sanyam Shukla i

Fields of papers citing papers by Sanyam Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sanyam Shukla

Since Specialization
Citations

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