Saeedeh Shekarpour

24 papers and 304 indexed citations i.

About

Saeedeh Shekarpour is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Saeedeh Shekarpour has authored 24 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 5 papers in Information Systems. Recurrent topics in Saeedeh Shekarpour’s work include Semantic Web and Ontologies (12 papers), Topic Modeling (10 papers) and Natural Language Processing Techniques (6 papers). Saeedeh Shekarpour is often cited by papers focused on Semantic Web and Ontologies (12 papers), Topic Modeling (10 papers) and Natural Language Processing Techniques (6 papers). Saeedeh Shekarpour collaborates with scholars based in Germany, United States and Iran. Saeedeh Shekarpour's co-authors include Sören Auer, Axel-Cyrille Ngonga Ngomo, Amit Sheth, Edgard Marx, S.D. Katebi, Kuldeep Singh, Amélie Gyrard, Jens Lehmann, Manas Gaur and Johannes Hoffart and has published in prestigious journals such as PLoS ONE, IEEE Intelligent Systems and Journal of Web Semantics.

In The Last Decade

Co-authorship network of co-authors of Saeedeh Shekarpour i

Fields of papers citing papers by Saeedeh Shekarpour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Saeedeh Shekarpour

Since Specialization
Citations

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