Adji Bousso Dieng

About

Adji Bousso Dieng is a scholar working on Artificial Intelligence, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Adji Bousso Dieng has authored 10 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Materials Chemistry and 1 paper in Molecular Biology. Recurrent topics in Adji Bousso Dieng’s work include Machine Learning in Materials Science (3 papers), Machine Learning and Algorithms (2 papers) and Topic Modeling (2 papers). Adji Bousso Dieng is often cited by papers focused on Machine Learning in Materials Science (3 papers), Machine Learning and Algorithms (2 papers) and Topic Modeling (2 papers). Adji Bousso Dieng collaborates with scholars based in United States, Canada and United Kingdom. Adji Bousso Dieng's co-authors include David M. Blei, Francisco J. R. Ruiz, Tengfei Ma, Cao Xiao, Fei Wang, Michael Webb, Shengli Jiang, Dustin Tran, Rajesh Ranganath and Alexander McLeod and has published in prestigious journals such as The Journal of Chemical Physics, Nano Letters and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Adji Bousso Dieng i

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Fields of papers citing papers by Adji Bousso Dieng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adji Bousso Dieng. 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 Adji Bousso Dieng. The network helps show where Adji Bousso Dieng may publish in the future.

Countries citing papers authored by Adji Bousso Dieng

Since Specialization

Citations

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