Shikib Mehri

14 papers and 273 indexed citations i.

About

Shikib Mehri is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Shikib Mehri has authored 14 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Sociology and Political Science. Recurrent topics in Shikib Mehri’s work include Topic Modeling (12 papers), Natural Language Processing Techniques (11 papers) and Speech and dialogue systems (9 papers). Shikib Mehri is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (11 papers) and Speech and dialogue systems (9 papers). Shikib Mehri collaborates with scholars based in United States, Canada and Switzerland. Shikib Mehri's co-authors include Maxine Eskénazi, Tiancheng Zhao, Jeffrey P. Bigham, Prakhar Gupta, Mihail Eric, Amy Pavel, Giuseppe Carenini, Leonid Sigal, Yi‐Ting Yeh and Yasemin Altün and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, arXiv (Cornell University) and neural information processing systems.

In The Last Decade

Co-authorship network of co-authors of Shikib Mehri i

Fields of papers citing papers by Shikib Mehri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shikib Mehri

Since Specialization
Citations

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