Shahram Khadivi

33 papers and 319 indexed citations i.

About

Shahram Khadivi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Shahram Khadivi has authored 33 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Shahram Khadivi’s work include Natural Language Processing Techniques (26 papers), Topic Modeling (26 papers) and Speech Recognition and Synthesis (7 papers). Shahram Khadivi is often cited by papers focused on Natural Language Processing Techniques (26 papers), Topic Modeling (26 papers) and Speech Recognition and Synthesis (7 papers). Shahram Khadivi collaborates with scholars based in Iran, Germany and Ireland. Shahram Khadivi's co-authors include Hermann Ney, Oliver Bender, Evgeny Matusov, Enrique Vidal, Jorge Civera, Juan Miguel Vilar, Francisco Casacuberta, Antonio L. Lagarda, Sergio Barrachina and Jesús Tomás and has published in prestigious journals such as Knowledge-Based Systems, Neural Computing and Applications and Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Shahram Khadivi i

Fields of papers citing papers by Shahram Khadivi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shahram Khadivi

Since Specialization
Citations

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