Peter Lin

2.7k citations
39 papers · 1.9k · h-index 24

Impact in

Papers in

Peter Lin

39 papers receiving 1.8k citations

Peers

Peter Lin
Comparison fields: 5 of 94
  • Cognitive Neuroscience 1.0k
  • Cellular and Molecular Neuroscience 660
  • Neurology 407
  • Neurology 183
  • Human-Computer Interaction 115
Replace Ujwal Chaudhary with:
Ujwal Chaudhary Germany
Parag G. Patil United States
Philip R. Kennedy United States
Kaylena A. Ehgoetz Martens Australia
Jaime Ibáñez Spain
Tyson Aflalo United States
Milind Deogaonkar United States
Ferdinando Sartucci Italy
John A. Buford United States
Aysegul Gunduz United States
Peter Lin relative to Ujwal Chaudhary Germany Ujwal Chaudhary's profile →
Citations per field
00.5×1.5×2.2×
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-authors

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

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008158
2 2012155
3 2021140
4 2010134
5 2015119
6 2007114
7 200789
8 200780
9 201475
10 200973
11 201066
12 200961
13 200960
14 201157
15 200956
16 201051
17 201146
18 201136
19 200835
20 200532

About Peter Lin

Peter Lin is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology, Biomedical Engineering and Molecular Biology, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (16 papers), Neuroscience and Neural Engineering (12 papers), Neural dynamics and brain function (7 papers), Neurological disorders and treatments (6 papers), Photoreceptor and optogenetics research (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Muscle activation and electromyography studies (3 papers) and Botulinum Toxin and Related Neurological Disorders (3 papers). The work is most often cited by research in Cognitive Neuroscience (1.0k citations), Cellular and Molecular Neuroscience (660 citations), Neurology (407 citations), Neurology (183 citations) and Human-Computer Interaction (115 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, Mary Kay Floeter, Valerie S. Morash, Mark Hallett, Ding-Yu Fei and Toh Hean Ch’ng. Their work appears in journals such as Clinical Neurophysiology, Neurology, Movement Disorders, Journal of neurosurgery and Journal of Neural Engineering.

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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