Patrick K. A. Neff

1.5k citations
70 papers · 1.1k · h-index 22

Impact in

Papers in

Patrick K. A. Neff

63 papers receiving 1.1k citations

Peers

Patrick K. A. Neff
Comparison fields: 5 of 42
  • Sensory Systems 681
  • Computer Science Applications 17
  • Neurology 22
  • Applied Psychology 9
  • General Health Professions 36
Replace Noah H. Silbert with:
Noah H. Silbert United States
Edward John Carney United States
Lisa Lucks Mendel United States
Susan Diane Scollie Canada
Paula C. Stacey United Kingdom
P. Matthew Bronstad United States
Joseph R. Coble United States
Sophie E. Ambrose United States
Rogayah A. Razak Malaysia
Kai Hamburger Germany
Patrick K. A. Neff relative to Noah H. Silbert United States Noah H. Silbert's profile →
Citations per field
00.5×5×10×15×18×
Noah H. Silbert · 1×
Citations per year

Countries citing papers authored by Patrick K. A. Neff

Since Specialization
Citations

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

Fields of papers citing papers by Patrick K. A. Neff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick K. A. Neff. 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 Patrick K. A. Neff. The network helps show where Patrick K. A. Neff may publish in the future.

Co-authors

The 25 scholars most cited alongside Patrick K. A. Neff, 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 Patrick K. A. Neff Line = papers co-authored together Patrick K. A. Neff links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201456
2 201949
3 201646
4 201845
5 202140
6 202140
7 201939
8 201938
9 202038
10 202136
11 201734
12 201833
13 201933
14 201929
15 201728
16 202028
17 201927
18 201926
19 202026
20 201725

About Patrick K. A. Neff

Patrick K. A. Neff is a scholar working on Sensory Systems, Cognitive Neuroscience, Computer Science Applications, Computer Vision and Pattern Recognition and General Health Professions, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (48 papers), EEG and Brain-Computer Interfaces (3 papers), Music Technology and Sound Studies (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Mobile Health and mHealth Applications (2 papers), Privacy, Security, and Data Protection (1 paper), Data Visualization and Analytics (1 paper) and Hearing Loss and Rehabilitation (1 paper). The work is most often cited by research in Sensory Systems (681 citations), Computer Science Applications (17 citations), Neurology (22 citations), Applied Psychology (9 citations) and General Health Professions (36 citations). Patrick K. A. Neff has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include Winfried Schlee, Berthold Langguth, Martin E. Meyer, Martin Schecklmann, Jorge Piano Simoes, Tobias Kleinjung, Rüdiger C. Pryss, Thomas Probst, Stefan Schoisswohl and Manfred Reichert. Their work appears in journals such as Scientific Reports, Progress in brain research, Trials, Trends in Hearing and Hearing Research.

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