Ravi Shekhar

16 papers and 140 indexed citations i.

About

Ravi Shekhar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Ravi Shekhar has authored 16 papers receiving a total of 140 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Ravi Shekhar’s work include Topic Modeling (6 papers), Hate Speech and Cyberbullying Detection (5 papers) and Multimodal Machine Learning Applications (4 papers). Ravi Shekhar is often cited by papers focused on Topic Modeling (6 papers), Hate Speech and Cyberbullying Detection (5 papers) and Multimodal Machine Learning Applications (4 papers). Ravi Shekhar collaborates with scholars based in United Kingdom, India and Italy. Ravi Shekhar's co-authors include Surangika Ranathunga, Rishemjit Kaur, Raffaella Bernardi, Raquel Fernández, Elia Bruni, Barbara Plank, Matthew Purver, Senja Pollak, Blaž Škrlj and Subhasis Chaudhuri and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and World Wide Web.

In The Last Decade

Co-authorship network of co-authors of Ravi Shekhar i

Fields of papers citing papers by Ravi Shekhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ravi Shekhar

Since Specialization
Citations

This map shows the geographic impact of Ravi Shekhar'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 Ravi Shekhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Shekhar 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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2025