Arlene C. Neuman

1.4k citations
44 papers · 1.1k indexed · h-index 19

Arlene C. Neuman

43 papers receiving 1.0k citations

Peers

Arlene C. Neuman
Comparison fields: 5 of 70
  • Speech and Hearing 653
  • Sensory Systems 355
  • Cognitive Neuroscience 1.1k
  • Signal Processing 476
  • Developmental and Educational Psychology 139
Replace Dianne J. Van Tasell with:
Dianne J. Van Tasell United States
Björn Hagerman Sweden
Chaslav V. Pavlovic United States
Lieselot Van Deun Belgium
Kirsten C. Wagener Germany
Anna Warzybok Germany
Mary T. Cord United States
Niek J. Versfeld Netherlands
Jace Wolfe United States
B. C. J. Moore United Kingdom
Arlene C. Neuman relative to Dianne J. Van Tasell United States Dianne J. Van Tasell's profile →
Citations per field
00.5×2.5×
Dianne J. Van Tasell · 1×
Citations per year

Countries citing papers authored by Arlene C. Neuman

Since Specialization
Citations

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

Fields of papers citing papers by Arlene C. Neuman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arlene C. Neuman. 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 Arlene C. Neuman. The network helps show where Arlene C. Neuman may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Arlene C. Neuman, 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 Arlene C. Neuman Line = papers co-authored together Arlene C. Neuman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201727
2 20168
3 20142
4 20137
5 201311
6 201348
7 20126
8 2010161
9 200768
10 200533
11 20016
12 200025
13 199927
14 199622
15 199691
16 199540
17 199511
18 19914
19 199113
20 198397

About Arlene C. Neuman

Arlene C. Neuman is a scholar working on Speech and Hearing, Signal Processing and Cognitive Neuroscience, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (35 papers), Speech and Audio Processing (23 papers), Noise Effects and Management (21 papers), Hearing, Cochlea, Tinnitus, Genetics (7 papers), Hearing Impairment and Communication (5 papers), Advanced Adaptive Filtering Techniques (3 papers), Acoustic Wave Phenomena Research (3 papers) and Structural Health Monitoring Techniques (2 papers). The work is most often cited by research in Speech and Hearing (653 citations), Sensory Systems (355 citations) and Cognitive Neuroscience (1.1k citations). Arlene C. Neuman has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Harry Levitt, Irving Hochberg, Mario A. Svirsky, Sharon A. Hellman, Carol L. Mackersie, Susan B. Waltzman, Mead C. Killion, Mark R. Weiss, Jill E. Preminger and Ruth A. Bentler. Their work appears in journals such as The Journal of the Acoustical Society of America, Ear and Hearing, Journal of the American Academy of Audiology, Journal of Communication Disorders and Acta Oto-Laryngologica.

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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