Ibrahim Mohamed

72 papers and 601 indexed citations i.

About

Ibrahim Mohamed is a scholar working on Artificial Intelligence, Statistics and Probability and Finance. According to data from OpenAlex, Ibrahim Mohamed has authored 72 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 22 papers in Statistics and Probability and 10 papers in Finance. Recurrent topics in Ibrahim Mohamed’s work include Bayesian Methods and Mixture Models (17 papers), Advanced Statistical Methods and Models (15 papers) and Financial Risk and Volatility Modeling (10 papers). Ibrahim Mohamed is often cited by papers focused on Bayesian Methods and Mixture Models (17 papers), Advanced Statistical Methods and Models (15 papers) and Financial Risk and Volatility Modeling (10 papers). Ibrahim Mohamed collaborates with scholars based in Malaysia, Egypt and Saudi Arabia. Ibrahim Mohamed's co-authors include Abdul Ghapor Hussin, Faridah Othman, Nur Aishah Mohd Taib, Cheng Har Yip, Rossita Mohamad Yunus, Chirk Jenn Ng, Ismail Yusoff, Mohd Rizam Abu Bakar, Christine Noe and Rachel Cassidy and has published in prestigious journals such as PLoS ONE, Icarus and Arthritis Care & Research.

In The Last Decade

Co-authorship network of co-authors of Ibrahim Mohamed i

Fields of papers citing papers by Ibrahim Mohamed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ibrahim Mohamed

Since Specialization
Citations

This map shows the geographic impact of Ibrahim Mohamed'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 Ibrahim Mohamed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ibrahim Mohamed 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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2025