Negar Hariri

1.1k total citations
15 papers, 643 citations indexed

About

Negar Hariri is a scholar working on Information Systems, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Negar Hariri has authored 15 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 5 papers in Signal Processing and 3 papers in Computer Networks and Communications. Recurrent topics in Negar Hariri's work include Recommender Systems and Techniques (5 papers), Software Engineering Research (4 papers) and Music and Audio Processing (3 papers). Negar Hariri is often cited by papers focused on Recommender Systems and Techniques (5 papers), Software Engineering Research (4 papers) and Music and Audio Processing (3 papers). Negar Hariri collaborates with scholars based in United States, Iran and Canada. Negar Hariri's co-authors include Bamshad Mobasher, Robin Burke, Jane Cleland‐Huang, Mehdi Mirakhorli, Carlos Castro-Herrera, Collin McMillan, Denys Poshyvanyk, Yong Zheng, Mehdi Hosseinzadeh Aghdam and Shervin Shirmohammadi and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Instrumentation and Measurement and International Journal of Environmental Science and Technology.

In The Last Decade

Negar Hariri

15 papers receiving 624 citations

Peers

Negar Hariri
Negar Hariri
Citations per year, relative to Negar Hariri Negar Hariri (= 1×) peers Gabriele Tolomei

Countries citing papers authored by Negar Hariri

Since Specialization
Citations

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

Fields of papers citing papers by Negar Hariri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Negar Hariri

This figure shows the co-authorship network connecting the top 25 collaborators of Negar Hariri. A scholar is included among the top collaborators of Negar Hariri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Negar Hariri. Negar Hariri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Hariri, Negar, et al.. (2025). Cadmium removal from aqueous solutions using olive stone-based carbon materials: a comparative approach. International Journal of Environmental Science and Technology. 22(15). 14883–14898. 1 indexed citations
2.
Hariri, Negar, Bamshad Mobasher, & Robin Burke. (2015). Adapting to user preference changes in interactive recommendation. International Conference on Artificial Intelligence. 4268–4274. 19 indexed citations
3.
Aghdam, Mehdi Hosseinzadeh, Negar Hariri, Bamshad Mobasher, & Robin Burke. (2015). Adapting Recommendations to Contextual Changes Using Hierarchical Hidden Markov Models. 241–244. 42 indexed citations
4.
Hariri, Negar, Bamshad Mobasher, & Robin Burke. (2014). Context adaptation in interactive recommender systems. 41–48. 35 indexed citations
5.
Hariri, Negar, Carlos Castro-Herrera, Mehdi Mirakhorli, Jane Cleland‐Huang, & Bamshad Mobasher. (2013). Supporting Domain Analysis through Mining and Recommending Features from Online Product Listings. IEEE Transactions on Software Engineering. 39(12). 1736–1752. 71 indexed citations
6.
Hariri, Negar, Bamshad Mobasher, & Robin Burke. (2013). Query-driven context aware recommendation. 9–16. 25 indexed citations
7.
McMillan, Collin, Negar Hariri, Denys Poshyvanyk, Jane Cleland‐Huang, & Bamshad Mobasher. (2012). Recommending source code for use in rapid software prototypes. International Conference on Software Engineering. 848–858. 42 indexed citations
8.
McMillan, Collin, Negar Hariri, Denys Poshyvanyk, Jane Cleland‐Huang, & Bamshad Mobasher. (2012). Recommending source code for use in rapid software prototypes. 848–858. 36 indexed citations
9.
Hariri, Negar, Bamshad Mobasher, & Robin Burke. (2012). Using social tags to infer context in hybrid music recommendation. 41–48. 15 indexed citations
10.
Hariri, Negar, Bamshad Mobasher, & Robin Burke. (2012). Context-aware music recommendation based on latenttopic sequential patterns. 131–138. 186 indexed citations
11.
Hariri, Negar, et al.. (2011). On-demand feature recommendations derived from mining public product descriptions. 181–190. 104 indexed citations
12.
Hariri, Negar, Behnoosh Hariri, & Shervin Shirmohammadi. (2011). A Distributed Measurement Scheme for Internet Latency Estimation. IEEE Transactions on Instrumentation and Measurement. 60(5). 1594–1603. 13 indexed citations
13.
Hariri, Negar, Bamshad Mobasher, Robin Burke, & Yong Zheng. (2011). Context-Aware Recommendation Based On Review Mining. International Joint Conference on Artificial Intelligence. 51 indexed citations
14.
Hariri, Negar & Ali Abedi. (2010). RSMG: Coding-aware Routing Based on Stable Matching Game.. International Conference on Wireless Networks. 577–583. 1 indexed citations
15.
Hariri, Negar, Behnoosh Hariri, & Shervin Shirmohammadi. (2010). A distributed measurement system for Internet delay estimation. 13. 1556–1560. 2 indexed citations

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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