Samuel C. Hoffman

11 papers and 481 indexed citations i.

About

Samuel C. Hoffman is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Samuel C. Hoffman has authored 11 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 4 papers in Molecular Biology. Recurrent topics in Samuel C. Hoffman’s work include Explainable Artificial Intelligence (XAI) (4 papers), Computational Drug Discovery Methods (4 papers) and Machine Learning in Materials Science (2 papers). Samuel C. Hoffman is often cited by papers focused on Explainable Artificial Intelligence (XAI) (4 papers), Computational Drug Discovery Methods (4 papers) and Machine Learning in Materials Science (2 papers). Samuel C. Hoffman collaborates with scholars based in United States, Ukraine and India. Samuel C. Hoffman's co-authors include Prasanna Sattigeri, Kush R. Varshney, Vijil Chenthamarakshan, Aleksandra Mojsilović, Stephanie Houde, Rachel Bellamy, Michael Hind, John T. Richards, Karthikeyan Natesan Ramamurthy and Diptikalyan Saha and has published in prestigious journals such as Science Advances, Journal of Machine Learning Research and IBM Journal of Research and Development.

In The Last Decade

Co-authorship network of co-authors of Samuel C. Hoffman i

Fields of papers citing papers by Samuel C. Hoffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel C. Hoffman. 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 Samuel C. Hoffman. The network helps show where Samuel C. Hoffman may publish in the future.

Countries citing papers authored by Samuel C. Hoffman

Since Specialization
Citations

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