Philip Pham

About

Philip Pham is a scholar working on Artificial Intelligence, Molecular Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Philip Pham has authored 6 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Atomic and Molecular Physics, and Optics. Recurrent topics in Philip Pham’s work include Topic Modeling (3 papers), Natural Language Processing Techniques (3 papers) and Machine Learning in Bioinformatics (1 paper). Philip Pham is often cited by papers focused on Topic Modeling (3 papers), Natural Language Processing Techniques (3 papers) and Machine Learning in Bioinformatics (1 paper). Philip Pham collaborates with scholars based in United States, Egypt and India. Philip Pham's co-authors include Robin Pemantle, Diana C. Mutz, Joshua Ainslie, Anirudh Ravula, Qifan Wang, Santiago Ontañón, Chris Alberti, Yang Li, Sumit Sanghai and Zachary Fisher and has published in prestigious journals such as The American Statistician, International Journal for Numerical Methods in Biomedical Engineering and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Philip Pham i

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Fields of papers citing papers by Philip Pham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Philip Pham

Since Specialization

Citations

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