Negar Arabzadeh

19 papers and 72 indexed citations i.

About

Negar Arabzadeh is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Negar Arabzadeh has authored 19 papers receiving a total of 72 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Negar Arabzadeh’s work include Topic Modeling (14 papers), Information Retrieval and Search Behavior (10 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Negar Arabzadeh is often cited by papers focused on Topic Modeling (14 papers), Information Retrieval and Search Behavior (10 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Negar Arabzadeh collaborates with scholars based in Canada, The Netherlands and Serbia. Negar Arabzadeh's co-authors include Charles L. A. Clarke, Xinyi Yan, Ebrahim Bagheri, Jelena Jovanović, Fattane Zarrinkalam, Feras Al‐Obeidat, Mohammad Aliannejadi, Maarten de Rijke, Morteza Zihayat and Milad Shokouhi and has published in prestigious journals such as Machine Learning, Information Processing & Management and Journal of Biomedical Informatics.

In The Last Decade

Co-authorship network of co-authors of Negar Arabzadeh i

Fields of papers citing papers by Negar Arabzadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Negar Arabzadeh

Since Specialization
Citations

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