Keegan Hines
- Molecular Biology
- Artificial Intelligence top 10%
- Biophysics top 5%
- Cardiology and Cardiovascular Medicine
- Atomic and Molecular Physics, and Optics
- Co-authors
- Richard W. AldrichThomas R. MiddendorfJohn P. DickersonJohn R. BankstonSahil VermaChirag ShahC. Bayan BrussAvi Schwarzschild
- Topics
- Protein Structure and Dynamics (4 papers)Explainable Artificial Intelligence (XAI) (4 papers)Adversarial Robustness in Machine Learning (4 papers)
- Partner nations
- United States
In The Last Decade
Keegan Hines
12 papers receiving 331 citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 132
- Artificial Intelligence 100
- Biophysics 50
- Cardiology and Cardiovascular Medicine 22
- Atomic and Molecular Physics, and Optics 18
Countries citing papers authored by Keegan Hines
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).
Fields of papers citing papers by Keegan Hines
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.
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.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | 38 | |
| 5 | 17 | |
| 6 | 1 | |
| 7 | 37 | |
| 8 | 45 | |
| 9 | 105 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 34 |
About Keegan Hines
Keegan Hines is a scholar working on Health Informatics, Biophysics and Artificial Intelligence, having authored 12 papers that have together received 336 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Adversarial Robustness in Machine Learning (4 papers). The work is most often cited by research in Health Informatics (12 citations), Biophysics (50 citations) and Structural Biology (6 citations). Keegan Hines has collaborated with scholars based in United States. Frequent 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. Their work appears in journals such as Biophysical Journal, ACM Computing Surveys and The Journal of General Physiology.
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.