Karl Li

1.5k citations
12 papers · 1.1k · h-index 10

Impact in

Papers in

Karl Li

12 papers receiving 1.1k citations

Peers

Karl Li
Comparison fields: 5 of 93
  • Cognitive Neuroscience 801
  • Developmental and Educational Psychology 319
  • Experimental and Cognitive Psychology 179
  • Statistics and Probability 84
  • Psychiatry and Mental health 80
Replace Karsten Müller with:
Karsten Müller Germany
Nora Maria Raschle Switzerland
Cédric Pichat France
Harald M. Mohr Germany
Patricia Riddell United Kingdom
Justin OʼBrien United Kingdom
Karla Monzalvo France
Joel Reithler Netherlands
Fabrice Robichon France
Hitha Amin United States
Karl Li relative to Karsten Müller Germany Karsten Müller's profile →
Citations per field
00.5×1.5×
Karsten Müller · 1×
Citations per year

Countries citing papers authored by Karl Li

Since Specialization
Citations

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

Fields of papers citing papers by Karl Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2009471
2 2005450
3 199958
4 200842
5 197534
6 201429
7 201520
8 202314
9 20169
10 20159
11 19867
12 20151

About Karl Li

Karl Li is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Computer Networks and Communications, Molecular Biology and Automotive Engineering, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (4 papers), Neural dynamics and brain function (2 papers), Neurobiology of Language and Bilingualism (2 papers), EEG and Brain-Computer Interfaces (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper), Fetal and Pediatric Neurological Disorders (1 paper), Advanced Battery Technologies Research (1 paper) and Transcranial Magnetic Stimulation Studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (801 citations), Developmental and Educational Psychology (319 citations), Experimental and Cognitive Psychology (179 citations), Statistics and Probability (84 citations) and Psychiatry and Mental health (80 citations). Karl Li has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Angela R. Laird, Peter T. Fox, Li Tan, Donald A. Robin, David C. Glahn, Simon B. Eickhoff, Alap R. Subramanian, Larry R. Price, Kimberly L. Ray and Shalini Narayana. Their work appears in journals such as Frontiers in Aging Neuroscience, Brain Structure and Function, Brain and Language, Analytical Biochemistry and Journal of Neuroscience.

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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