Jake M. Hofman

37 papers and 3.1k indexed citations i.

About

Jake M. Hofman is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Jake M. Hofman has authored 37 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Statistical and Nonlinear Physics and 6 papers in Molecular Biology. Recurrent topics in Jake M. Hofman’s work include Complex Network Analysis Techniques (6 papers), Opinion Dynamics and Social Influence (6 papers) and Explainable Artificial Intelligence (XAI) (5 papers). Jake M. Hofman is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Opinion Dynamics and Social Influence (6 papers) and Explainable Artificial Intelligence (XAI) (5 papers). Jake M. Hofman collaborates with scholars based in United States, United Kingdom and Canada. Jake M. Hofman's co-authors include Duncan J. Watts, Chris H. Wiggins, Sharad Goel, Amit Sharma, Ruben L. Gonzalez, Jonathan E. Bronson, Jingyi Fei, Ashton Anderson, Sébastien Lahaie and David M. Pennock and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Co-authorship network of co-authors of Jake M. Hofman i

Fields of papers citing papers by Jake M. Hofman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jake M. Hofman. 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 Jake M. Hofman. The network helps show where Jake M. Hofman may publish in the future.

Countries citing papers authored by Jake M. Hofman

Since Specialization
Citations

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