Negin Daneshpour

About

Negin Daneshpour is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Negin Daneshpour has authored 18 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Negin Daneshpour’s work include Data Mining Algorithms and Applications (6 papers), Advanced Clustering Algorithms Research (3 papers) and Face and Expression Recognition (3 papers). Negin Daneshpour is often cited by papers focused on Data Mining Algorithms and Applications (6 papers), Advanced Clustering Algorithms Research (3 papers) and Face and Expression Recognition (3 papers). Negin Daneshpour collaborates with scholars based in Iran. Negin Daneshpour's co-authors include Masoumeh Safkhani and Ali Zangeneh and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Negin Daneshpour i

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Fields of papers citing papers by Negin Daneshpour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Negin Daneshpour

Since Specialization

Citations

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