Peter Lin

2.7k citations
39 papers · 1.8k indexed · h-index 24

Peter Lin

39 papers receiving 1.8k citations

Peers

Peter Lin
Comparison fields: 5 of 92
  • Cognitive Neuroscience 1.1k
  • Cellular and Molecular Neuroscience 782
  • Neurology 476
  • Neurology 219
  • Human-Computer Interaction 121
Replace Ujwal Chaudhary with:
Ujwal Chaudhary Germany
Parag G. Patil United States
Sherry Vorbach United States
Gert Pfurtscheller Austria
Philip R. Kennedy United States
Milind Deogaonkar United States
Tyson Aflalo United States
Kaylena A. Ehgoetz Martens Australia
John A. Buford United States
Junming Zhu China
Peter Lin relative to Ujwal Chaudhary Germany Ujwal Chaudhary's profile →
Citations per field
00.5×1.5×2.0×
Ujwal Chaudhary · 1×
Citations per year

Countries citing papers authored by Peter Lin

Since Specialization
Citations

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

Fields of papers citing papers by Peter Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Lin. 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 Peter Lin. The network helps show where Peter Lin may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20228
3 2021135
4 20167
5 201611
6 201527
7 2015117
8 201474
9 201145
10 201136
11 201065
12 200956
13 200912
14 200960
15 200973
16 200911
17 20094
18 200789
19 2007114
20 200532

About Peter Lin

Peter Lin is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology, Human-Computer Interaction and Neurology, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (19 papers), Neuroscience and Neural Engineering (17 papers), Neural dynamics and brain function (9 papers), Neurological disorders and treatments (8 papers), Functional Brain Connectivity Studies (7 papers), Muscle activation and electromyography studies (6 papers), Photoreceptor and optogenetics research (5 papers) and Botulinum Toxin and Related Neurological Disorders (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Cellular and Molecular Neuroscience (782 citations), Neurology (476 citations), Neurology (219 citations) and Human-Computer Interaction (121 citations). Peter Lin has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Mark Hallett, Ou Bai, Seung‐Hyun Jin, Sherry Vorbach, Dandan Huang, Valerie S. Morash, Mary Kay Floeter, Mark Hallett, Ding-Yu Fei and Kelsey C. Martin. Their work appears in journals such as Clinical Neurophysiology, Movement Disorders, Neurology, NeuroImage and Journal of Visualized Experiments.

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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