M. Lippert

2.0k citations
56 papers · 1.4k · h-index 18

Impact in

Papers in

M. Lippert

52 papers receiving 1.3k citations

Peers

M. Lippert
Comparison fields: 5 of 116
  • Sensory Systems 160
  • Cognitive Neuroscience 604
  • Developmental Neuroscience 82
  • Experimental and Cognitive Psychology 256
  • Condensed Matter Physics 223
Replace Hemant Bokil with:
Hemant Bokil United States
Hiroyuki Miyamoto Japan
Shuzo Sakata United Kingdom
Jürgen Dammers Germany
Koen Vervaeke Norway
Ho Ko Hong Kong
Xiaobin He China
Jian‐Young Wu United States
Donna Dierker United States
Sotiris C. Masmanidis United States
M. Lippert relative to Hemant Bokil United States Hemant Bokil's profile →
Citations per field
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Hemant Bokil · 1×
Citations per year

Countries citing papers authored by M. Lippert

Since Specialization
Citations

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

Fields of papers citing papers by M. Lippert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005218
2 2007129
3 1990123
4 2020111
5 200788
6 200053
7 201653
8 201548
9 201042
10 201942
11 201333
12 199031
13 199229
14 201828
15 200827
16 201526
17 201421
18 200719
19 201017
20 199316

About M. Lippert

M. Lippert is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Condensed Matter Physics, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (18 papers), Physics of Superconductivity and Magnetism (11 papers), Neuroscience and Neural Engineering (10 papers), Cardiac pacing and defibrillation studies (9 papers), Photoreceptor and optogenetics research (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Magnetic properties of thin films (6 papers) and Cardiac electrophysiology and arrhythmias (5 papers). The work is most often cited by research in Sensory Systems (160 citations), Cognitive Neuroscience (604 citations), Developmental Neuroscience (82 citations), Experimental and Cognitive Psychology (256 citations) and Condensed Matter Physics (223 citations). M. Lippert has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Christoph Kayser, Nikos K. Logothetis, Kentaroh Takagaki, Christopher I. Petkov, Frank W. Ohl, G. Saemann‐Ischenko, Julian Strobel, Jian‐Young Wu, Xiaoying Huang and Weifeng Xu. Their work appears in journals such as Physica C Superconductivity, EP Europace, NeuroImage, Pacing and Clinical Electrophysiology 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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