Keegan Hines

43 total papers · 1.1k total citations
10 papers, 286 citations indexed

About

Keegan Hines is a scholar working on Molecular Biology, Artificial Intelligence and Biophysics. According to data from OpenAlex, Keegan Hines has authored 10 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Artificial Intelligence and 2 papers in Biophysics. Recurrent topics in Keegan Hines’s work include Protein Structure and Dynamics (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Gene Regulatory Network Analysis (3 papers). Keegan Hines is often cited by papers focused on Protein Structure and Dynamics (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Gene Regulatory Network Analysis (3 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 and Sahil Verma and has published in prestigious journals such as Biophysical Journal, The Journal of General Physiology and ACM Computing Surveys.

Co-authorship network of co-authors of Keegan Hines

This figure shows the co-authorship network connecting the top 25 collaborators of Keegan Hines. A scholar is included among the top collaborators of Keegan Hines based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keegan Hines. Keegan Hines is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Keegan Hines

10 papers receiving 282 citations

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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