Siamak Shakeri

6 papers and 111 indexed citations i.

About

Siamak Shakeri is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Siamak Shakeri has authored 6 papers receiving a total of 111 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Electrical and Electronic Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Siamak Shakeri’s work include Topic Modeling (5 papers), Speech and dialogue systems (3 papers) and Natural Language Processing Techniques (3 papers). Siamak Shakeri is often cited by papers focused on Topic Modeling (5 papers), Speech and dialogue systems (3 papers) and Natural Language Processing Techniques (3 papers). Siamak Shakeri collaborates with scholars based in United States, Germany and Canada. Siamak Shakeri's co-authors include Rami Al‐Rfou, Heming Ge, Henghui Zhu, Nan Feng, Bing Xiang, Zhiguo Wang, Cícero Nogueira dos Santos, Patrick Ng, Ramesh Nallapati and Jinfeng Rao and has published in prestigious journals such as MacSphere (McMaster University), arXiv (Cornell University) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Co-authorship network of co-authors of Siamak Shakeri i

Fields of papers citing papers by Siamak Shakeri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Siamak Shakeri

Since Specialization
Citations

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