Gail D. Chermak

91 total papers · 2.7k total citations
77 papers, 1.8k citations indexed

About

Gail D. Chermak is a scholar working on Cognitive Neuroscience, Sensory Systems and Speech and Hearing. According to data from OpenAlex, Gail D. Chermak has authored 77 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Cognitive Neuroscience, 31 papers in Sensory Systems and 24 papers in Speech and Hearing. Recurrent topics in Gail D. Chermak's work include Hearing Loss and Rehabilitation (48 papers), Hearing, Cochlea, Tinnitus, Genetics (31 papers) and Noise Effects and Management (24 papers). Gail D. Chermak is often cited by papers focused on Hearing Loss and Rehabilitation (48 papers), Hearing, Cochlea, Tinnitus, Genetics (31 papers) and Noise Effects and Management (24 papers). Gail D. Chermak collaborates with scholars based in United States, United Kingdom and Greece. Gail D. Chermak's co-authors include Frank E. Musiek, J. Anthony Seikel, Jennifer B. Shinn, Doris‐Eva Bamiou, Jeffrey Weihing, Vasiliki Iliadou, Ronald L. Schow, James W. Hall, Ioannis Nimatoudis and Matthew K. Berent and has published in prestigious journals such as Journal of Speech Language and Hearing Research, Ear and Hearing and Journal of Phonetics.

In The Last Decade

Gail D. Chermak

76 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gail D. Chermak 1.5k 740 513 405 197 77 1.8k
Eliane Schochat 1.2k 0.8× 452 0.6× 337 0.7× 554 1.4× 232 1.2× 113 1.5k
Anne Marie Tharpe 1.8k 1.2× 1.1k 1.4× 533 1.0× 748 1.8× 184 0.9× 73 2.2k
Yael Henkin 1.1k 0.7× 487 0.7× 282 0.5× 171 0.4× 117 0.6× 52 1.3k
Field Rickards 1.5k 1.0× 1.1k 1.5× 387 0.8× 535 1.3× 125 0.6× 62 2.1k
Mridula Sharma 1.3k 0.9× 625 0.8× 457 0.9× 339 0.8× 149 0.8× 68 1.5k
Theresa H. Chisolm 1.5k 1.0× 807 1.1× 1.0k 2.0× 344 0.8× 105 0.5× 57 1.9k
Julia Sarant 1.3k 0.9× 614 0.8× 430 0.8× 813 2.0× 140 0.7× 60 1.6k
Ira M. Ventry 1.6k 1.1× 935 1.3× 1.1k 2.2× 450 1.1× 147 0.7× 35 2.2k
Elina Mäki‐Torkko 966 0.7× 642 0.9× 327 0.6× 449 1.1× 116 0.6× 74 1.5k
Dafydd Stephens 1.3k 0.9× 888 1.2× 662 1.3× 446 1.1× 67 0.3× 108 2.0k

Countries citing papers authored by Gail D. Chermak

Since Specialization
Citations

This map shows the geographic impact of Gail D. Chermak'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 Gail D. Chermak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gail D. Chermak more than expected).

Fields of papers citing papers by Gail D. Chermak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gail D. Chermak. 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 Gail D. Chermak. The network helps show where Gail D. Chermak may publish in the future.

Co-authorship network of co-authors of Gail D. Chermak

This figure shows the co-authorship network connecting the top 25 collaborators of Gail D. Chermak. A scholar is included among the top collaborators of Gail D. Chermak 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 Gail D. Chermak. Gail D. Chermak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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