John Eargle
- Molecular Biology top 5%
- Computational Theory and Mathematics top 2%
- Materials Chemistry
- Genetics
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Zaida Luthey‐SchultenAnurag SethiElijah RobertsD. WrightRommie E. AmaroLeonardo G. TrabucoRebecca W. AlexanderTaekjip Ha
- Topics
- RNA and protein synthesis mechanisms (9 papers)Protein Structure and Dynamics (7 papers)Music Technology and Sound Studies (7 papers)
- Partner nations
- United States
In The Last Decade
John Eargle
23 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 1.4k
- Computational Theory and Mathematics 239
- Materials Chemistry 186
- Genetics 145
- Cellular and Molecular Neuroscience 128
Countries citing papers authored by John Eargle
This map shows the geographic impact of John Eargle'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 John Eargle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Eargle more than expected).
Fields of papers citing papers by John Eargle
This network shows the impact of papers produced by John Eargle. 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 John Eargle. The network helps show where John Eargle may publish in the future.
Co-authorship network of co-authors of John Eargle
This figure shows the co-authorship network connecting the top 25 collaborators of John Eargle. A scholar is included among the top collaborators of John Eargle 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 John Eargle. John Eargle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 23 | |
| 3 | 179 | |
| 4 | 26 | |
| 5 | 88 | |
| 6 | 15 | |
| 7 | 56 | |
| 8 | 68 | |
| 9 | 1 | |
| 10 | 332 | |
| 11 | Historical Perspectives and Technology Overview of Loudspeakers for Sound Reinforcement | 4 |
| 12 | 15 | |
| 13 | Cinema Sound Reproduction Systems: Evolving Technical Requirements and Architectural Considerations | 0 |
| 14 | 7 | |
| 15 | Use of Stereo Synthesis to Reduce Subjective/Objective Interference Effects: The Perception of Comb Filtering, Part II | 3 |
| 16 | An Analysis of Some Off-Axis Stereo Localization Problems | 1 |
| 17 | 10 | |
| 18 | A Microcomputer Program for Central Loudspeaker Array Design | 1 |
| 19 | Improvements in Monitor Loudspeaker Systems | 1 |
| 20 | Improvements in Cutting Styli for CD-4 Discs | 0 |
About John Eargle
John Eargle is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Music, having authored 31 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), Protein Structure and Dynamics (7 papers) and Music Technology and Sound Studies (7 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Computational Theory and Mathematics (239 citations) and Structural Biology (16 citations). John Eargle has collaborated with scholars based in United States. Frequent co-authors include Zaida Luthey‐Schulten, Anurag Sethi, Elijah Roberts, D. Wright, Rommie E. Amaro, Leonardo G. Trabuco, Rebecca W. Alexander, Taekjip Ha, Peter V. Cornish and Eduard Schreiner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Journal of Molecular Biology.
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.