M. Lippert

2.0k citations
59 papers · 1.5k · h-index 19

Impact in

Papers in

M. Lippert

54 papers receiving 1.4k citations

Peers

M. Lippert
Comparison fields: 5 of 120
  • Sensory Systems 170
  • Cognitive Neuroscience 619
  • Developmental Neuroscience 80
  • Experimental and Cognitive Psychology 272
  • Condensed Matter Physics 232
Replace Manfried Hoke with:
Manfried Hoke Germany
Jufang He Hong Kong
Hiroyuki Miyamoto Japan
Ho Ko Hong Kong
Daniel S. Barth United States
Xiaobin He China
Karen A. Sigvardt United States
Wim Rutten Netherlands
Donna Dierker United States
Jian‐Young Wu United States
M. Lippert relative to Manfried Hoke Germany Manfried Hoke's profile →
Citations per field
00.5×11.4×
Manfried Hoke · 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 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005244
2 2007133
3 1990126
4 2020115
5 200794
6 200068
7 201654
8 201549
9 201943
10 201043
11 201442
12 201335
13 199232
14 199031
15 201830
16 200829
17 201528
18 201423
19 200720
20 201018

About M. Lippert

M. Lippert is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Condensed Matter Physics, Cardiology and Cardiovascular Medicine and Atomic and Molecular Physics, and Optics, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (17 papers), Physics of Superconductivity and Magnetism (11 papers), Neuroscience and Neural Engineering (8 papers), Photoreceptor and optogenetics research (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Cardiac pacing and defibrillation studies (6 papers), Magnetic properties of thin films (6 papers) and Olfactory and Sensory Function Studies (5 papers). The work is most often cited by research in Sensory Systems (170 citations), Cognitive Neuroscience (619 citations), Developmental Neuroscience (80 citations), Experimental and Cognitive Psychology (272 citations) and Condensed Matter Physics (232 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, Julian Strobel, G. Saemann‐Ischenko, Jian‐Young Wu, Patrick Bernard and Weifeng Xu. Their work appears in journals such as Physica C Superconductivity, EP Europace, Pacing and Clinical Electrophysiology, Journal of Neural Engineering and NeuroImage.

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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