Keegan Hines

12 papers and 283 indexed citations i.

About

Keegan Hines is a scholar working on Artificial Intelligence, Molecular Biology and Biophysics. According to data from OpenAlex, Keegan Hines has authored 12 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Molecular Biology and 2 papers in Biophysics. Recurrent topics in Keegan Hines’s work include Adversarial Robustness in Machine Learning (4 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Protein Structure and Dynamics (4 papers). Keegan Hines is often cited by papers focused on Adversarial Robustness in Machine Learning (4 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Protein Structure and Dynamics (4 papers). Keegan Hines collaborates with scholars based in United States. Keegan Hines's co-authors include Richard W. Aldrich, Thomas R. Middendorf, John P. Dickerson, John R. Bankston, Sahil Verma, Chirag Shah, Sahil Verma, C. Bayan Bruss and Avi Schwarzschild and has published in prestigious journals such as Biophysical Journal, The Journal of General Physiology and ACM Computing Surveys.

In The Last Decade

Co-authorship network of co-authors of Keegan Hines i

Fields of papers citing papers by Keegan Hines

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Keegan Hines

Since Specialization
Citations

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