Parisa Kordjamshidi

35 papers and 444 indexed citations i.

About

Parisa Kordjamshidi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Parisa Kordjamshidi has authored 35 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Parisa Kordjamshidi’s work include Natural Language Processing Techniques (20 papers), Topic Modeling (14 papers) and Semantic Web and Ontologies (9 papers). Parisa Kordjamshidi is often cited by papers focused on Natural Language Processing Techniques (20 papers), Topic Modeling (14 papers) and Semantic Web and Ontologies (9 papers). Parisa Kordjamshidi collaborates with scholars based in United States, Belgium and Australia. Parisa Kordjamshidi's co-authors include Marie‐Francine Moens, Martijn van Otterlo, Gary L. Thompson, Leila Hashemi-Beni, Asmamaw Gebrehiwot, Zheng Chen, Steven Bethard, Dan Roth, Quan Guo and Oleksandr Kolomiyets and has published in prestigious journals such as BMC Bioinformatics, Sensors and Computers and Electronics in Agriculture.

In The Last Decade

Co-authorship network of co-authors of Parisa Kordjamshidi i

Fields of papers citing papers by Parisa Kordjamshidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Parisa Kordjamshidi

Since Specialization
Citations

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