Max Eickenscheidt

504 total citations
20 papers, 391 citations indexed

About

Max Eickenscheidt is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Max Eickenscheidt has authored 20 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 10 papers in Electrical and Electronic Engineering and 8 papers in Biomedical Engineering. Recurrent topics in Max Eickenscheidt's work include Neuroscience and Neural Engineering (17 papers), Advanced Memory and Neural Computing (10 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Max Eickenscheidt is often cited by papers focused on Neuroscience and Neural Engineering (17 papers), Advanced Memory and Neural Computing (10 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Max Eickenscheidt collaborates with scholars based in Germany, Netherlands and Austria. Max Eickenscheidt's co-authors include Günther Zeck, R. Thewes, Thomas Stieglitz, Peter Fromherz, M. Jenkner, B. Eversmann, Armin Lambacher, Veronika Vitzthum, Maria Vomero and D. Wolansky and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Neurophysiology and Scientific Reports.

In The Last Decade

Max Eickenscheidt

19 papers receiving 388 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Max Eickenscheidt Germany 10 321 207 166 73 41 20 391
Douglas B. Shire United States 6 299 0.9× 216 1.0× 126 0.8× 88 1.2× 85 2.1× 15 351
Elissa Welle United States 10 266 0.8× 109 0.5× 183 1.1× 90 1.2× 43 1.0× 18 347
Jiangang Du United States 10 259 0.8× 213 1.0× 217 1.3× 114 1.6× 20 0.5× 15 413
Seth A. Hara United States 10 359 1.1× 164 0.8× 171 1.0× 127 1.7× 93 2.3× 24 429
Sébastien Joucla France 12 418 1.3× 213 1.0× 293 1.8× 140 1.9× 29 0.7× 21 527
Shouliang Guan China 10 306 1.0× 179 0.9× 154 0.9× 150 2.1× 70 1.7× 16 444
Marcus D. Gingerich United States 11 471 1.5× 360 1.7× 193 1.2× 123 1.7× 96 2.3× 30 558
P Matteucci Australia 10 309 1.0× 161 0.8× 106 0.6× 104 1.4× 113 2.8× 24 394
Nicholas J. Michelson United States 7 473 1.5× 145 0.7× 264 1.6× 137 1.9× 110 2.7× 9 554
Allison Hess‐Dunning United States 9 305 1.0× 132 0.6× 128 0.8× 177 2.4× 79 1.9× 29 428

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-authorship network of co-authors of Max Eickenscheidt

This figure shows the co-authorship network connecting the top 25 collaborators of Max Eickenscheidt. A scholar is included among the top collaborators of Max Eickenscheidt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Max Eickenscheidt. Max Eickenscheidt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Eickenscheidt, Max, et al.. (2024). NeuroBus - Architecture for an Ultra-Flexible Neural Interface. IEEE Transactions on Biomedical Circuits and Systems. 18(2). 247–262. 4 indexed citations
2.
Stieglitz, Thomas, et al.. (2023). Highly conformable chip-in-foil implants for neural applications. Microsystems & Nanoengineering. 9(1). 54–54. 6 indexed citations
3.
Eickenscheidt, Max, et al.. (2022). An optoelectronic neural interface approach for precise superposition of optical and electrical stimulation in flexible array structures. Biosensors and Bioelectronics. 205. 114090–114090. 6 indexed citations
4.
Martens, J.W.D., et al.. (2021). Scalable Batch Transfer of Individual Silicon Dice for Ultra-Flexible Polyimide-Based Bioelectronic Devices. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 6880–6883. 5 indexed citations
5.
Eickenscheidt, Max, et al.. (2021). 3D-Printed Hermetic Alumina Housings. Materials. 14(1). 200–200. 17 indexed citations
6.
Eickenscheidt, Max, et al.. (2021). Low-Temperature Sealing of Titanium for Hermetic Implant Packages. IEEE Transactions on Components Packaging and Manufacturing Technology. 11(12). 2046–2054.
7.
Stieglitz, Thomas, et al.. (2021). On the Stability of Porous Platinum Coatings for In-Ear EEG Applications. 601–604. 1 indexed citations
8.
Eickenscheidt, Max, et al.. (2020). Polyimide-based Thin Film Conductors for High Frequency Data Transmission in Ultra- Conformable Implants. SHILAP Revista de lepidopterología. 6(3). 481–485. 11 indexed citations
9.
Eickenscheidt, Max, et al.. (2020). Highly Porous Platinum Electrodes for Dry Ear-EEG Measurements. Sensors. 20(11). 3176–3176. 17 indexed citations
10.
Stieglitz, Thomas, et al.. (2019). Stability of polyimide integrated ITO electrodes. 742–745. 1 indexed citations
11.
Eickenscheidt, Max, et al.. (2019). Pulsed electropolymerization of PEDOT enabling controlled branching. Polymer Journal. 51(10). 1029–1036. 23 indexed citations
12.
Vomero, Maria, et al.. (2018). Graphitic Carbon Electrodes on Flexible Substrate for Neural Applications Entirely Fabricated Using Infrared Nanosecond Laser Technology. Scientific Reports. 8(1). 14749–14749. 26 indexed citations
13.
Stieglitz, Thomas, et al.. (2018). Micro-folded 3D neural electrodes fully integrated in polyimide. PubMed. 2018. 4587–4590. 2 indexed citations
14.
Ordonez, Juan S., et al.. (2016). Laser-induced carbon pyrolysis of electrodes for neural interface systems. European Journal of Translational Myology. 26(3). 6062–6062. 8 indexed citations
15.
Eickenscheidt, Max, et al.. (2016). Subretinal electrical stimulation reveals intact network activity in the blind mouse retina. Journal of Neurophysiology. 116(4). 1684–1693. 29 indexed citations
16.
Zeck, Günther, et al.. (2014). Receptive field properties in healthy and blind mouse retinas evaluated by stimulation using an implantable subretinal microchip. Investigative Ophthalmology & Visual Science. 55(13). 5966–5966. 1 indexed citations
17.
Eickenscheidt, Max & Günther Zeck. (2014). Action potentials in retinal ganglion cells are initiated at the site of maximal curvature of the extracellular potential. Journal of Neural Engineering. 11(3). 36006–36006. 25 indexed citations
18.
Wolansky, D., M. Schreiter, Max Eickenscheidt, et al.. (2014). A CMOS-based sensor array for in-vitro neural tissue interfacing with 4225 recording sites and 1024 stimulation sites. 304–307. 56 indexed citations
19.
Eickenscheidt, Max, M. Jenkner, R. Thewes, Peter Fromherz, & Günther Zeck. (2012). Electrical stimulation of retinal neurons in epiretinal and subretinal configuration using a multicapacitor array. Journal of Neurophysiology. 107(10). 2742–2755. 91 indexed citations
20.
Lambacher, Armin, Veronika Vitzthum, Max Eickenscheidt, et al.. (2010). Identifying firing mammalian neurons in networks with high-resolution multi-transistor array (MTA). Applied Physics A. 102(1). 1–11. 62 indexed citations

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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