Afroz Mohiuddin

1.5k total citations
3 papers, 35 citations indexed

About

Afroz Mohiuddin is a scholar working on Artificial Intelligence, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, Afroz Mohiuddin has authored 3 papers receiving a total of 35 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Management Science and Operations Research. Recurrent topics in Afroz Mohiuddin's work include Reinforcement Learning in Robotics (2 papers), Adversarial Robustness in Machine Learning (1 paper) and Evolutionary Algorithms and Applications (1 paper). Afroz Mohiuddin is often cited by papers focused on Reinforcement Learning in Robotics (2 papers), Adversarial Robustness in Machine Learning (1 paper) and Evolutionary Algorithms and Applications (1 paper). Afroz Mohiuddin collaborates with scholars based in United States and Poland. Afroz Mohiuddin's co-authors include Błażej Osiński, Dumitru Erhan, Mohammad Babaeizadeh, Ryan Sepassi, Piotr Miłoś, Konrad Czechowski, Henryk Michalewski, Sergey Levine, Łukasz Kaiser and Chelsea Finn and has published in prestigious journals such as Nature Communications, International Conference on Learning Representations and 2022 International Joint Conference on Neural Networks (IJCNN).

In The Last Decade

Afroz Mohiuddin

3 papers receiving 34 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Afroz Mohiuddin United States	3	26	7	6	4	4	3	35
Clare Lyle United Kingdom	4	24 0.9×	5 0.7×	4 0.7×		3 0.8×	9	32
Robert Dadashi United States	5	30 1.2×	4 0.6×	4 0.7×	1 0.3×	3 0.8×	7	46
Simon Bartels Denmark	2	24 0.9×	9 1.3×	6 1.0×		1 0.3×	4	48
Weiping Song China	2	26 1.0×	4 0.6×	3 0.5×		3 0.8×	3	31
Kenta Oono Japan	3	30 1.2×	13 1.9×	10 1.7×		10 2.5×	5	48
Yichi Zhou China	3	20 0.8×	5 0.7×		2 0.5×	2 0.5×	8	33
Dragos Rotaru United Kingdom	4	29 1.1×	4 0.6×	2 0.3×	4 1.0×		4	37
Ikumi Suzuki Japan	5	38 1.5×	19 2.7×	6 1.0×		3 0.8×	16	55
Yisong Xiao China	5	34 1.3×	25 3.6×	4 0.7×	4 1.0×		10	59
Timothée Lacroix	1	12 0.5×	5 0.7×	3 0.5×		3 0.8×	2	13

Countries citing papers authored by Afroz Mohiuddin

Since Specialization

Citations

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

Fields of papers citing papers by Afroz Mohiuddin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Afroz Mohiuddin

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

All Works

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3 of 3 papers shown

1.

Rajkomar, Alvin, Yuchen Liu, Ming‐Jun Chen, et al.. (2022). Deciphering clinical abbreviations with a privacy protecting machine learning system. Nature Communications. 13(1). 7456–7456. 10 indexed citations

2.

Kozakowski, Piotr, et al.. (2022). Q-Value Weighted Regression: Reinforcement Learning with Limited Data. 2022 International Joint Conference on Neural Networks (IJCNN). 70. 1–8. 2 indexed citations

3.

Kaiser, Łukasz, Mohammad Babaeizadeh, Piotr Miłoś, et al.. (2020). Model Based Reinforcement Learning for Atari. International Conference on Learning Representations. 23 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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