Masoud Mansoury

637 total citations
19 papers, 102 citations indexed

About

Masoud Mansoury is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Masoud Mansoury has authored 19 papers receiving a total of 102 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 11 papers in Artificial Intelligence and 10 papers in Management Science and Operations Research. Recurrent topics in Masoud Mansoury's work include Recommender Systems and Techniques (13 papers), Advanced Bandit Algorithms Research (9 papers) and Data Mining Algorithms and Applications (2 papers). Masoud Mansoury is often cited by papers focused on Recommender Systems and Techniques (13 papers), Advanced Bandit Algorithms Research (9 papers) and Data Mining Algorithms and Applications (2 papers). Masoud Mansoury collaborates with scholars based in Netherlands, United States and Iran. Masoud Mansoury's co-authors include Robin Burke, Himan Abdollahpouri, Bamshad Mobasher, Mykola Pechenizkiy, Mehdi Elahi, Mehdi Shajari, Helma Torkamaan, Nasim Sonboli, Ziyue Guo and Andrew B. Schwartz and has published in prestigious journals such as ACM Transactions on Information Systems, ACM Transactions on Intelligent Systems and Technology and International Journal of Web Information Systems.

In The Last Decade

Masoud Mansoury

14 papers receiving 97 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Masoud Mansoury Netherlands	7	86	43	43	18	16	19	102
Ashudeep Singh United States	4	55 0.6×	57 1.3×	50 1.2×	14 0.8×	8 0.5×	7	103
Yuta Saito United States	7	87 1.0×	82 1.9×	97 2.3×	13 0.7×	6 0.4×	22	157
Mahyar Salek United States	5	23 0.3×	49 1.1×	55 1.3×	39 2.2×	13 0.8×	7	117
Rocío Cañamares Spain	7	161 1.9×	83 1.9×	117 2.7×	10 0.6×	7 0.4×	9	182
Katja Niemann Germany	8	76 0.9×	59 1.4×	17 0.4×	84 4.7×	8 0.5×	26	156
Guglielmo Faggioli Italy	8	99 1.2×	135 3.1×	38 0.9×	4 0.2×	6 0.4×	30	204
Sarik Ghazarian United States	6	93 1.1×	137 3.2×	13 0.3×	6 0.3×	27 1.7×	11	202
Xin Rong United States	4	33 0.4×	46 1.1×	12 0.3×	11 0.6×	11 0.7×	9	87
Yiheng Shu China	2	118 1.4×	92 2.1×	34 0.8×	6 0.3×	8 0.5×	3	140
Andrea Mannocci Italy	9	46 0.5×	65 1.5×	22 0.5×	11 0.6×	10 0.6×	21	148

Countries citing papers authored by Masoud Mansoury

Since Specialization

Citations

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

Fields of papers citing papers by Masoud Mansoury

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masoud Mansoury

This figure shows the co-authorship network connecting the top 25 collaborators of Masoud Mansoury. A scholar is included among the top collaborators of Masoud Mansoury 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 Masoud Mansoury. Masoud Mansoury is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Mansoury, Masoud, et al.. (2025). Towards Carbon Footprint-Aware Recommender Systems for Greener Item Recommendation. 4(2). 1–25.

Mansoury, Masoud, et al.. (2025). Towards Explainable Temporal User Profiling with LLMs. 219–227.

Oosterhuis, Harrie, et al.. (2024). Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems. UvA-DARE (University of Amsterdam). 416–426. 3 indexed citations

Mansoury, Masoud, Bamshad Mobasher, & Herke van Hoof. (2024). Mitigating Exposure Bias in Online Learning to Rank Recommendation: A Novel Reward Model for Cascading Bandits. UvA-DARE (University of Amsterdam). 1638–1648.

Abdollahpouri, Himan, Shaghayegh Sahebi, Mehdi Elahi, et al.. (2022). MORS 2022: The Second Workshop on Multi-Objective Recommender Systems. UvA-DARE (University of Amsterdam). 658–660. 2 indexed citations

Elahi, Mehdi, Himan Abdollahpouri, Masoud Mansoury, & Helma Torkamaan. (2021). Beyond Algorithmic Fairness in Recommender Systems. 41–46. 15 indexed citations

Mansoury, Masoud, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, & Robin Burke. (2021). A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems. ACM Transactions on Information Systems. 40(2). 1–31. 29 indexed citations

Abdollahpouri, Himan, Mehdi Elahi, Masoud Mansoury, et al.. (2021). MORS 2021: 1st Workshop on Multi-Objective Recommender Systems. 787–788. 4 indexed citations

Sonboli, Nasim, Masoud Mansoury, Ziyue Guo, et al.. (2021). librec-auto: A Tool for Recommender Systems Experimentation. 4584–4593. 9 indexed citations

10.

Mansoury, Masoud. (2021). Fairness-Aware Recommendation in Multi-Sided Platforms. TU/e Research Portal. 1117–1118. 10 indexed citations

11.

Mansoury, Masoud, Robin Burke, & Bamshad Mobasher. (2021). Flatter Is Better. ACM Transactions on Intelligent Systems and Technology. 12(2). 1–16. 5 indexed citations

12.

Burke, Robin, Masoud Mansoury, & Nasim Sonboli. (2020). Experimentation with fairness-aware recommendation using librec-auto. 700–700. 2 indexed citations

13.

Sonboli, Nasim, et al.. (2020). Fairness-aware Recommendation with librec-auto. 594–596. 6 indexed citations

14.

Mansoury, Masoud & Robin Burke. (2019). Algorithm Selection with Librec-auto.. 11–17. 2 indexed citations

15.

Mansoury, Masoud. (2018). Enhanced Decision Support System For Portfolio Management Using Financial Indicators. Zenodo (CERN European Organization for Nuclear Research).

16.

Mansoury, Masoud, et al.. (2018). Automating recommender systems experimentation with librec-auto. 500–501. 6 indexed citations

17.

Mansoury, Masoud & Mehdi Shajari. (2016). Improving recommender systems’ performance on cold-start users and controversial items by a new similarity model. International Journal of Web Information Systems. 12(2). 126–149. 7 indexed citations

18.

Mansoury, Masoud, et al.. (2012). Trust evaluation using items ratings in online communities. 780–783.

19.

Mansoury, Masoud, et al.. (2012). Recommender system based on data mining: Interlibrary case study. 806–809. 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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