Afroz Mohiuddin

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 31 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), Biomedical Text Mining and Ontologies (1 paper) and Topic Modeling (1 paper). Afroz Mohiuddin is often cited by papers focused on Reinforcement Learning in Robotics (2 papers), Biomedical Text Mining and Ontologies (1 paper) and Topic Modeling (1 paper). Afroz Mohiuddin collaborates with scholars based in United States and Poland. Afroz Mohiuddin's co-authors include Henryk Michalewski, Łukasz Kaiser, Piotr Kozakowski, Juraj Gottweis, Chelsea Finn, Yuchen Liu, Piotr Miłoś, Ming‐Jun Chen, Alvin Rajkomar and Ryan Sepassi 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

Co-authorship network of co-authors of Afroz Mohiuddin i

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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.

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).

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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