Mohammad Taha Bahadori

About

Mohammad Taha Bahadori is a scholar working on Artificial Intelligence, Epidemiology and Signal Processing. According to data from OpenAlex, Mohammad Taha Bahadori has authored 8 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Epidemiology and 2 papers in Signal Processing. Recurrent topics in Mohammad Taha Bahadori’s work include Domain Adaptation and Few-Shot Learning (2 papers), Time Series Analysis and Forecasting (2 papers) and Machine Learning in Healthcare (2 papers). Mohammad Taha Bahadori is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Time Series Analysis and Forecasting (2 papers) and Machine Learning in Healthcare (2 papers). Mohammad Taha Bahadori collaborates with scholars based in United States and Germany. Mohammad Taha Bahadori's co-authors include Jimeng Sun, Edward Choi, Walter F. Stewart, Le Song, Yan Liu, Qi Yu, David C. Kale, Dan Zhang, Randall C. Wetzel and Wenzhe Li and has published in prestigious journals such as Knowledge and Information Systems, PubMed Central and PubMed.

In The Last Decade

Co-authorship network of co-authors of Mohammad Taha Bahadori i

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Fields of papers citing papers by Mohammad Taha Bahadori

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Taha Bahadori. 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 Mohammad Taha Bahadori. The network helps show where Mohammad Taha Bahadori may publish in the future.

Countries citing papers authored by Mohammad Taha Bahadori

Since Specialization

Citations

This map shows the geographic impact of Mohammad Taha Bahadori'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 Mohammad Taha Bahadori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Taha Bahadori 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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