Bogdan Mazoure

421 total citations
11 papers, 235 citations indexed

About

Bogdan Mazoure is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Statistics and Probability. According to data from OpenAlex, Bogdan Mazoure has authored 11 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 3 papers in Statistics and Probability. Recurrent topics in Bogdan Mazoure's work include Biosimilars and Bioanalytical Methods (2 papers), Computational Drug Discovery Methods (2 papers) and AI in cancer detection (2 papers). Bogdan Mazoure is often cited by papers focused on Biosimilars and Bioanalytical Methods (2 papers), Computational Drug Discovery Methods (2 papers) and AI in cancer detection (2 papers). Bogdan Mazoure collaborates with scholars based in Canada, Australia and Taiwan. Bogdan Mazoure's co-authors include Vladimir Makarenkov, Thang Doan, Abbas Khosravi, Saeid Nahavandi, Moloud Abdar, Reza Hashemifesharaki, U. Rajendra Acharya, Li Liu, Robert Nadon and Jonathan Tompson and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Bogdan Mazoure

9 papers receiving 226 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bogdan Mazoure Canada	4	139	87	50	38	37	11	235
Thang Doan Canada	5	120 0.9×	65 0.7×	43 0.9×	28 0.7×	45 1.2×	6	202
Md. Tasnim Jawad Bangladesh	4	136 1.0×	79 0.9×	38 0.8×	42 1.1×	52 1.4×	7	237
Andrzej Brodzicki Poland	5	127 0.9×	106 1.2×	25 0.5×	43 1.1×	42 1.1×	5	246
Mani Abedini Australia	8	125 0.9×	100 1.1×	17 0.3×	29 0.8×	30 0.8×	18	213
Victor Pomponiu Italy	10	139 1.0×	104 1.2×	40 0.8×	37 1.0×	175 4.7×	21	319
Krishna Mridha India	8	113 0.8×	70 0.8×	45 0.9×	54 1.4×	38 1.0×	29	282
Muhammad Junaid Ali Pakistan	11	131 0.9×	60 0.7×	56 1.1×	21 0.6×	75 2.0×	22	275
D. Satyanarayana India	5	98 0.7×	89 1.0×	19 0.4×	20 0.5×	70 1.9×	22	198
Ammara Masood Australia	8	235 1.7×	268 3.1×	36 0.7×	76 2.0×	66 1.8×	13	366
Abder-Rahman Ali United Kingdom	8	155 1.1×	114 1.3×	91 1.8×	44 1.2×	51 1.4×	12	282

Countries citing papers authored by Bogdan Mazoure

Since Specialization

Citations

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

Fields of papers citing papers by Bogdan Mazoure

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bogdan Mazoure

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Mazoure, Bogdan, et al.. (2025). From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons. 10644–10655. 1 indexed citations

2.

Kostrikov, Ilya, et al.. (2022). Improving Zero-Shot Generalization in Offline Reinforcement Learning Using Generalized Similarity Functions. 25088–25101.

3.

Mazoure, Bogdan, et al.. (2022). DUNEScan: a web server for uncertainty estimation in skin cancer detection with deep neural networks. Scientific Reports. 12(1). 179–179. 32 indexed citations

4.

Abdar, Moloud, Alix Boc, Étienne Lord, et al.. (2022). Intelligent personalized shopping recommendation using clustering and supervised machine learning algorithms. PLoS ONE. 17(12). e0278364–e0278364. 2 indexed citations

5.

Abdar, Moloud, Thang Doan, Bogdan Mazoure, et al.. (2021). Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning. Computers in Biology and Medicine. 135. 104418–104418. 179 indexed citations

6.

Mazoure, Bogdan, Ilya Kostrikov, Ofir Nachum, & Jonathan Tompson. (2021). Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions. arXiv (Cornell University). 1 indexed citations

7.

Mazoure, Bogdan, et al.. (2020). Learning Gaussian Graphical Models With Ordered Weighted $\ell _1$ Regularization. IEEE Transactions on Signal Processing. 69. 489–499.

8.

Mazoure, Bogdan, et al.. (2019). An intelligent shopping list based on the application of partitioning and machine learning algorithms. Proceedings of the Python in Science Conferences. 85–92. 3 indexed citations

9.

Mazoure, Bogdan, Thang Doan, & Saibal Ray. (2018). EmojiGAN: learning emojis distributions with a generative model. 273–279. 1 indexed citations

10.

Mazoure, Bogdan, et al.. (2017). Detecting and removing multiplicative spatial bias in high-throughput screening technologies. Bioinformatics. 33(20). 3258–3267. 3 indexed citations

11.

Mazoure, Bogdan, Robert Nadon, & Vladimir Makarenkov. (2017). Identification and correction of spatial bias are essential for obtaining quality data in high-throughput screening technologies. Scientific Reports. 7(1). 11921–11921. 13 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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