Laurel H. Carney
- Cognitive Neuroscience top 0.5%
- Sensory Systems top 0.05%
- Speech and Hearing top 0.1%
- Signal Processing top 1%
- Biomedical Engineering top 5%
- Co-authors
- Tom C. T. YinIan C. BruceMichael G. HeinzPaul C. NelsonH. Steven ColburnMuhammad S. A. ZilanyPhilip X. JorisPhilip H. Smith
- Topics
- Hearing Loss and Rehabilitation (108 papers)Hearing, Cochlea, Tinnitus, Genetics (81 papers)Noise Effects and Management (41 papers)
- Partner nations
- United StatesDenmarkColombia
In The Last Decade
Laurel H. Carney
133 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 109
- Cognitive Neuroscience 3.7k
- Sensory Systems 2.7k
- Speech and Hearing 1.1k
- Signal Processing 634
- Biomedical Engineering 575
Countries citing papers authored by Laurel H. Carney
This map shows the geographic impact of Laurel H. Carney'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 Laurel H. Carney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurel H. Carney more than expected).
Fields of papers citing papers by Laurel H. Carney
This network shows the impact of papers produced by Laurel H. Carney. 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 Laurel H. Carney. The network helps show where Laurel H. Carney may publish in the future.
Co-authorship network of co-authors of Laurel H. Carney
This figure shows the co-authorship network connecting the top 25 collaborators of Laurel H. Carney. A scholar is included among the top collaborators of Laurel H. Carney 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 Laurel H. Carney. Laurel H. Carney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 10 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 20 | |
| 11 | Fluctuation contrast and speech-on-speech masking: Model midbrain responses to simultaneous speech | 1 |
| 12 | 13 | |
| 13 | 19 | |
| 14 | 6 | |
| 15 | 21 | |
| 16 | 9 | |
| 17 | 45 | |
| 18 | On the Perception of Transients: Applying Psychophysical Constraints to Improve Audio Analysis and Synthesis | 1 |
| 19 | 58 | |
| 20 | 13 |
About Laurel H. Carney
Laurel H. Carney is a scholar working on Sensory Systems, Cognitive Neuroscience and Speech and Hearing, having authored 138 papers that have together received 4.4k indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (108 papers), Hearing, Cochlea, Tinnitus, Genetics (81 papers) and Noise Effects and Management (41 papers). The work is most often cited by research in Sensory Systems (2.7k citations), Developmental Biology (490 citations) and Cognitive Neuroscience (3.7k citations). Laurel H. Carney has collaborated with scholars based in United States, Denmark and Colombia. Frequent co-authors include Tom C. T. Yin, Ian C. Bruce, Michael G. Heinz, Paul C. Nelson, H. Steven Colburn, Muhammad S. A. Zilany, Philip X. Joris, Philip H. Smith, David Cameron and Qing Tan. Their work appears in journals such as Journal of Neuroscience, Nature Neuroscience and The Journal of Comparative Neurology.
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.