Max Eickenscheidt

26 total papers · 500 total citations
20 papers, 390 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 390 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, Austria and United States. Max Eickenscheidt's co-authors include Günther Zeck, R. Thewes, Thomas Stieglitz, Peter Fromherz, M. Jenkner, B. Eversmann, Veronika Vitzthum, Armin Lambacher, 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 387 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Max Eickenscheidt	319	207	166	73	40	20	390
Douglas B. Shire	298 0.9×	217 1.0×	126 0.8×	88 1.2×	84 2.1×	15	350
Elissa Welle	264 0.8×	107 0.5×	180 1.1×	89 1.2×	43 1.1×	17	340
Jiangang Du	258 0.8×	211 1.0×	216 1.3×	112 1.5×	20 0.5×	15	409
P Matteucci	309 1.0×	161 0.8×	105 0.6×	104 1.4×	112 2.8×	24	388
Seth A. Hara	358 1.1×	163 0.8×	170 1.0×	127 1.7×	93 2.3×	23	425
Shouliang Guan	302 0.9×	179 0.9×	152 0.9×	149 2.0×	70 1.8×	16	439
Sheryl Kane	203 0.6×	124 0.6×	91 0.5×	130 1.8×	75 1.9×	12	377
Yana Pigareva	259 0.8×	229 1.1×	133 0.8×	77 1.1×	32 0.8×	20	383
P. Norlin	214 0.7×	181 0.9×	152 0.9×	105 1.4×	27 0.7×	21	347
Francesca Ciarpella	266 0.8×	153 0.7×	92 0.6×	141 1.9×	139 3.5×	14	392

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

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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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