Masoud Mansoury

69 total papers · 627 total citations
19 papers, 98 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 98 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 Shaghayegh Sahebi 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 93 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Masoud Mansoury	84	42	41	17	16	19	98
Nasim Sonboli	125 1.5×	58 1.4×	75 1.8×	29 1.7×	20 1.3×	16	172
Yuta Saito	85 1.0×	95 2.3×	79 1.9×	13 0.8×	6 0.4×	21	154
Panagiotis Papadakos	65 0.8×	15 0.4×	105 2.6×	11 0.6×	19 1.2×	24	162
Canh V. Pham	75 0.9×	17 0.4×	42 1.0×	16 0.9×	59 3.7×	19	214
Rashidul Islam	61 0.7×	31 0.7×	132 3.2×	14 0.8×	29 1.8×	17	223
Katja Niemann	77 0.9×	17 0.4×	59 1.4×	85 5.0×	8 0.5×	26	156
Yikun Xian	111 1.3×	21 0.5×	161 3.9×	3 0.2×	23 1.4×	17	236
Ingeborg Sølvberg	81 1.0×	24 0.6×	56 1.4×	22 1.3×	11 0.7×	16	150
Changsung Kang	125 1.5×	26 0.6×	170 4.1×	7 0.4×	8 0.5×	15	235
A. Feder Cooper	76 0.9×	16 0.4×	139 3.4×	32 1.9×	82 5.1×	21	256

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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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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