Armineh Nourbakhsh

18 papers and 156 indexed citations i.

About

Armineh Nourbakhsh is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Armineh Nourbakhsh has authored 18 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 2 papers in Sociology and Political Science and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Armineh Nourbakhsh’s work include Topic Modeling (12 papers), Natural Language Processing Techniques (8 papers) and Advanced Text Analysis Techniques (7 papers). Armineh Nourbakhsh is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (8 papers) and Advanced Text Analysis Techniques (7 papers). Armineh Nourbakhsh collaborates with scholars based in United States, Cayman Islands and Canada. Armineh Nourbakhsh's co-authors include Sameena Shah, Xiaomo Liu, Quanzhi Li, Jin‐Cheon Na, Rui Fang, Robert Martin, Mohammad M. Ghassemi, Yulong Pei, Carolyn Penstein Rosé and Manuela Veloso and has published in prestigious journals such as Online Information Review, arXiv (Cornell University) and Proceedings of the International AAAI Conference on Web and Social Media.

In The Last Decade

Co-authorship network of co-authors of Armineh Nourbakhsh i

Fields of papers citing papers by Armineh Nourbakhsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Armineh Nourbakhsh

Since Specialization
Citations

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