Masrour Zoghi

1.2k total citations
13 papers, 429 citations indexed

About

Masrour Zoghi is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Masrour Zoghi has authored 13 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Management Science and Operations Research and 7 papers in Computer Networks and Communications. Recurrent topics in Masrour Zoghi's work include Advanced Bandit Algorithms Research (9 papers), Machine Learning and Algorithms (8 papers) and Optimization and Search Problems (7 papers). Masrour Zoghi is often cited by papers focused on Advanced Bandit Algorithms Research (9 papers), Machine Learning and Algorithms (8 papers) and Optimization and Search Problems (7 papers). Masrour Zoghi collaborates with scholars based in Netherlands, United States and United Kingdom. Masrour Zoghi's co-authors include Frank Hutter, David S. Matheson, Ziyu Wang, Nando de Freitas, Ziyu Wang, Maarten de Rijke, Shimon Whiteson, Sebastian Bruch, Marc Najork and Michael Bendersky and has published in prestigious journals such as ACM Transactions on Information Systems, Journal of Artificial Intelligence Research and UvA-DARE (University of Amsterdam).

In The Last Decade

Masrour Zoghi

13 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Masrour Zoghi Netherlands	8	264	150	128	57	50	13	429
Roman Neruda Czechia	11	330 1.3×	146 1.0×	46 0.4×	79 1.4×	38 0.8×	92	474
Lianmeng Jiao China	10	259 1.0×	81 0.5×	65 0.5×	75 1.3×	71 1.4×	39	382
Zhaolu Guo China	12	294 1.1×	154 1.0×	83 0.6×	14 0.2×	45 0.9×	29	500
Duoqian Miao China	12	219 0.8×	334 2.2×	301 2.4×	100 1.8×	121 2.4×	34	666
Jingda Deng Hong Kong	9	256 1.0×	262 1.7×	55 0.4×	15 0.3×	28 0.6×	13	379
John Harris United States	5	170 0.6×	126 0.8×	151 1.2×	19 0.3×	45 0.9×	11	390
Zefeng Chen China	11	583 2.2×	558 3.7×	156 1.2×	35 0.6×	27 0.5×	17	750
S. Somasundaram India	9	74 0.3×	137 0.9×	96 0.8×	19 0.3×	62 1.2×	61	430
Jin Ye China	12	229 0.9×	338 2.3×	257 2.0×	116 2.0×	113 2.3×	40	595
Mark W. Hauschild United States	10	374 1.4×	158 1.1×	29 0.2×	37 0.6×	35 0.7×	15	524

Countries citing papers authored by Masrour Zoghi

Since Specialization

Citations

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

Fields of papers citing papers by Masrour Zoghi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masrour Zoghi

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

All Works

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13 of 13 papers shown

Markov, Ilya, et al.. (2020). MergeDTS. ACM Transactions on Information Systems. 38(4). 1–28. 1 indexed citations

Kveton, Branislav, Tor Lattimore, Ilya Markov, et al.. (2019). BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback. UvA-DARE (University of Amsterdam). 196–206. 1 indexed citations

Bruch, Sebastian, Masrour Zoghi, Michael Bendersky, & Marc Najork. (2019). Revisiting Approximate Metric Optimization in the Age of Deep Neural Networks. 1241–1244. 38 indexed citations

Kveton, Branislav, Tor Lattimore, Ilya Markov, et al.. (2018). BubbleRank: Safe Online Learning to Rerank.. arXiv (Cornell University). 1 indexed citations

Sui, Yanan, Masrour Zoghi, Katja Hofmann, & Yisong Yue. (2018). Advancements in Dueling Bandits. 5502–5510. 10 indexed citations

Balsubramani, Akshay, Zohar Karnin, Robert E. Schapire, & Masrour Zoghi. (2016). Instance-dependent Regret Bounds for Dueling Bandits. 49. 336–360. 2 indexed citations

Wang, Ziyu, et al.. (2016). Bayesian Optimization in a Billion Dimensions via Random Embeddings. Journal of Artificial Intelligence Research. 55. 361–387. 188 indexed citations

Zoghi, Masrour, et al.. (2016). Click-based Hot Fixes for Underperforming Torso Queries. 195–204. 13 indexed citations

Zoghi, Masrour, Shimon Whiteson, & Maarten de Rijke. (2015). MergeRUCB. UvA-DARE (University of Amsterdam). 17–26. 12 indexed citations

10.

Zoghi, Masrour, et al.. (2015). Copeland Dueling Bandits. Oxford University Research Archive (ORA) (University of Oxford). 3 indexed citations

11.

Zoghi, Masrour, Shimon Whiteson, Maarten de Rijke, & Rémi Munos. (2014). Relative confidence sampling for efficient on-line ranker evaluation. UvA-DARE (University of Amsterdam). 73–82. 11 indexed citations

12.

Wang, Ziyu, Masrour Zoghi, Frank Hutter, David S. Matheson, & Nando de Freitas. (2013). Bayesian optimization in high dimensions via random embeddings. UvA-DARE (University of Amsterdam). 1778–1784. 128 indexed citations

13.

Zoghi, Masrour, Shimon Whiteson, Rémi Munos, & Maarten de Rijke. (2013). Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem. arXiv (Cornell University). 32(32). 10–18. 21 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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