Joseph G. Ibrahim

394 papers and 16.2k indexed citations i.

About

Joseph G. Ibrahim is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Joseph G. Ibrahim has authored 394 papers receiving a total of 16.2k indexed citations (citations by other indexed papers that have themselves been cited), including 256 papers in Statistics and Probability, 71 papers in Artificial Intelligence and 61 papers in Molecular Biology. Recurrent topics in Joseph G. Ibrahim’s work include Statistical Methods and Inference (174 papers), Statistical Methods and Bayesian Inference (157 papers) and Statistical Methods in Clinical Trials (107 papers). Joseph G. Ibrahim is often cited by papers focused on Statistical Methods and Inference (174 papers), Statistical Methods and Bayesian Inference (157 papers) and Statistical Methods in Clinical Trials (107 papers). Joseph G. Ibrahim collaborates with scholars based in United States, China and Belgium. Joseph G. Ibrahim's co-authors include Ming‐Hui Chen, Stuart R. Lipsitz, Ming‐Hui Chen, Debajyoti Sinha, John M. Kirkwood, Anqi Zhu, Michael I. Love, Hongtu Zhu, Qi-Man Shao and Purushottam W. Laud and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Journal of the American Statistical Association.

In The Last Decade

Co-authorship network of co-authors of Joseph G. Ibrahim i

Fields of papers citing papers by Joseph G. Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph G. Ibrahim. 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 Joseph G. Ibrahim. The network helps show where Joseph G. Ibrahim may publish in the future.

Countries citing papers authored by Joseph G. Ibrahim

Since Specialization
Citations

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