Christopher J. Long

84 papers receiving 3.0k citations

Peers

Christopher J. Long
Comparison fields: 5 of 153
  • Sensory Systems 193
  • Surfaces, Coatings and Films 253
  • Cognitive Neuroscience 638
  • Cellular and Molecular Neuroscience 599
  • Biomedical Engineering 1.1k
Replace Jijun Wang with:
Jijun Wang China
Robert Allen United Kingdom
Andrew A. Marino United States
Jun‐ichi Suzuki Japan
James A. Covington United Kingdom
Hiroshi Shimizu Japan
Robert Becker United States
Yinghui Li China
Maurizio Santini Italy
Masakazu Suzuki Japan
Christopher J. Long relative to Jijun Wang China Jijun Wang's profile →
Citations per field
00.5×5.4×
Jijun Wang · 1×
Citations per year

Countries citing papers authored by Christopher J. Long

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Long. 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 Christopher J. Long. The network helps show where Christopher J. Long may publish in the future.

Co-authors

The 25 scholars most cited alongside Christopher J. Long, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christopher J. Long Line = papers co-authored together Christopher J. Long links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 202448
5 20230
6 20232
7 20239
8 20215
9 202120
10 202120
11 2019141
12 201945
13 201971
14 201911
15 2018186
16 20125
17 20122
18 201226
19 201176
20 199452

About Christopher J. Long

Christopher J. Long is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience, Signal Processing, Cognitive Neuroscience and Speech and Hearing, having authored 92 papers that have together received 3.1k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (20 papers), Neuroscience and Neural Engineering (19 papers), Hearing Loss and Rehabilitation (11 papers), Speech and Audio Processing (8 papers), Hearing, Cochlea, Tinnitus, Genetics (7 papers), Noise Effects and Management (6 papers), Blind Source Separation Techniques (5 papers) and Functional Brain Connectivity Studies (5 papers). The work is most often cited by research in Sensory Systems (193 citations), Surfaces, Coatings and Films (253 citations), Cognitive Neuroscience (638 citations), Cellular and Molecular Neuroscience (599 citations) and Biomedical Engineering (1.1k citations). Christopher J. Long has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include James J. Hickman, Michael L. Shuler, Christopher W. McAleer, Robert P. Carlyon, Anthony B. Brennan, Paul M. Matthews, Alec S.T. Smith, John D. Beaver, Jong Hwan Sung and Ying I. Wang. Their work appears in journals such as Scientific Reports, The Journal of the Acoustical Society of America, Journal of the Association for Research in Otolaryngology, Biofouling and Langmuir.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026