Max Eickenscheidt

509 citations
20 papers · 415 · h-index 10

Impact in

Papers in

Max Eickenscheidt

20 papers receiving 411 citations

Peers

Max Eickenscheidt
Comparison fields: 5 of 44
  • Cellular and Molecular Neuroscience 335
  • Cognitive Neuroscience 155
  • Electrical and Electronic Engineering 196
  • Polymers and Plastics 44
  • Electrochemistry 16
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Citations per field
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Citations per year

Countries citing papers authored by Max Eickenscheidt

Since Specialization
Citations

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

Fields of papers citing papers by Max Eickenscheidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Max Eickenscheidt, 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 Max Eickenscheidt Line = papers co-authored together Max Eickenscheidt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201295
2 201068
3 201460
4 201629
5 201828
6 201425
7 201924
8 202118
9 202017
10 202011
11 20169
12 20228
13 20236
14 20246
15 20215
16 20182
17
Receptive field properties in healthy and blind mouse retinas evaluated by stimulation using an implantable subretinal microchip
20141
18 20191
19 20211
20 20211

About Max Eickenscheidt

Max Eickenscheidt is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering, Cognitive Neuroscience and Polymers and Plastics, having authored 20 papers that have together received 415 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (17 papers), Advanced Memory and Neural Computing (10 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Photoreceptor and optogenetics research (4 papers), EEG and Brain-Computer Interfaces (4 papers), Conducting polymers and applications (3 papers), Neural dynamics and brain function (2 papers) and Muscle activation and electromyography studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (335 citations), Cognitive Neuroscience (155 citations), Electrical and Electronic Engineering (196 citations), Polymers and Plastics (44 citations) and Electrochemistry (16 citations). Max Eickenscheidt has collaborated with scholars based in Germany, Netherlands and Austria. Frequent co-authors include Günther Zeck, R. Thewes, Thomas Stieglitz, Peter Fromherz, M. Jenkner, B. Eversmann, Veronika Vitzthum, Armin Lambacher, Maria Vomero and Alfred Stett. Their work appears in journals such as Journal of Neurophysiology, IEEE Transactions on Biomedical Circuits and Systems, Sensors, IEEE Transactions on Components Packaging and Manufacturing Technology and Microsystems & Nanoengineering.

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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